| Date | Title | Provider |
| 2000 |
Data was created to portray the soils in Allegheny County.
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| Allegheny County |
| 2020 |
Soils types in Carbon County, Pennsylvania
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| Carbon County |
| 2000 |
Watershed conservation plan for the Neshaminy Creek. Contains multiple datasets including park boundaries, cultural places, floodplains, hydrology, municipal boundaries, land use, roads, railroads, soils, and zoning
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| Heritage Conservancy |
| 2015 |
Two seamless soils datasets based on USDA’s SSURGO and STATSGO databases were created for the entire DRB region, and information pertaining to various soil-related factors such as erodibility (k factor), available water - holding capacity, texture, etc. were compiled and summarized for discrete mapping units at these two scales. The SSURGO (Soil Survey Geographic) database is compiled at the detailed county-level survey scale that most soil information users are familiar with, and has two basic components: 1) digital boundaries of the detailed soil mapping units, and 2) tabular information on a wide range of soil parameters associated with each mapping unit. The STATSGO (State Soil Geographic) database summarizes similar soils information at a much more generalized “soil association” scale. Both of these datasets for the DRB area were downloaded from USDA’s “geospatial data” site at http://datagateway.nrcs.usda.gov. Once downloaded, considerable effort was then expended to first
seam together the data from the separate states overlapping the DRB, and then to “populate” both soil databases by linking a number of “attribute tables” to the soils polygons contained within the DRB boundary. In this case, over 325,000 soil polygons were populated with information extracted from about a dozen different attribute tables.
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| Open Space Institute |
| 2024 |
Beneficial Land Use is a DEP primary facility type related to the Water Pollution Control Program. The sub-facility type related to Beneficial Land Use is the Parcel. A parcel refers to the land application site that is proposed to received biosolids or residential septage. Land application for biosolids and septage means beneficial use, meaning it is applied to land as a soil amendment/fertilizer.
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| Pennsylvania Department of Environmental Protection |
| 2024 |
An Encroachment Location is a DEP primary facility type related to the Water Resources Management Water Obstructions Program. There are many sub-facility types relating to Encroachment Locations, ranging from Boat Launch Ramps to Dredging to Wetland Impact, that are included in eMapPA. Furthermore, these sub-facilities may pertain to more than one primary facility kind as listed: Abandoned Mine Reclamation, Mineral Resources, Oil and Gas, Soils and Waterways, Waterways Engineering, and Water Quality.
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| Pennsylvania Department of Environmental Protection |
| 2024 |
Land Recycling Cleanup Locations (LRCL) are divided into one or more sub-facilities categorized as media: Air, Contained Release or Abandoned Container, Groundwater, Sediment, Soil, Surface Water, and Waste. Media is the environmental resource that is associated with the cleanup effort. The following primary facility kinds describe the Acts from which cleanup locations are derived:
Act2 Land Recycling and Environmental Remediation Standards
The first declaration of Section 102 of the policy provides a brief description of the purpose of Act2:
The elimination of public health and environmental hazards on existing commercial and industrial land across this Commonwealth is vital to their use and reuse as sources of employment, housing, recreation, and open-space areas. The reuse of industrial land is an important component of a sound land use policy that will help prevent the needless development of prime farmland, open-space areas and natural areas and reduce public costs for installing new water, sewer, and highway infrastructure.
CERCLA Comprehensive Environmental Response, Compensation, and Liability Act, also known as the Superfund
This act was passed by Congress as a federal law in December of 1980, creating a tax on chemical and petroleum industries to:
Identify and respond to sites from which releases of hazardous substances into the environment have occurred or could potentially occur
Ensure they are cleaned up by responsible parties or through government funding
Evaluate damages to natural resources
HSCA Hazardous Sites Cleanup Act
[This Act] provides the Department of Environmental Protection (DEP) with the funding and the authority to conduct cleanup actions at sites where hazardous substances have been released. HSCA also provides DEP with enforcement authorities to force the persons who are responsible for releases of hazardous substances to conduct cleanup actions or to repay public funds spent on a DEP funded cleanup action. HSCA funds are also used to pay the state share of costs of cleanup actions at Pennsylvania sites in the Federal Superfund program. Under the provisions of HSCA, most HSCA sites involve bankrupt facility owners, abandoned facilities, and inappropriate disposal of hazardous substances. As a general rule, HSCA sites do not include active facilities with financially viable owners.
Other
The Other primary facility kind includes a mixture of various different cleanup sites, no further action sites, and potential sites. This is optional data that the regional offices are not required to maintain.
STSP Storage Tank Spill and Prevention Act
Releases and/or ruptures from improperly installed or faulty storage tanks contaminate the Commonwealth's land and water resources. This act was passed to prevent such contamination through "improved safeguards on the installation and construction of storage tanks."
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| Pennsylvania Department of Environmental Protection |
| 2024 |
A Municipal Waste Operation is a DEP primary facility type related to the Waste Management Municipal Waste Program. The sub-facility types related to Municipal Waste Operations that are included are: Composting:
Includes facilities that use land for processing municipal waste by composting. Composting is a process that biologically decomposes organic waste under controlled anaerobic or aerobic conditions to yield a humus-like product.
Land Application:
Includes facilities that uses agricultural utilization or land reclamation of waste. Sewage sludge is land-applied for its nutrient value or as a soil conditioner.
Landfill - Abandoned:
The Abandoned Landfill Inventory Project collects geospatial and descriptive data for closed and abandoned landfills throughout the state of Pennsylvania. Locations for sites were determined from historic records such as microfiche, index card, topographic map, and staff personal files, and then compiled into site lists. Each of the six DEP regions is staffed with summer interns who physically locate the sites and collect the data for the project.
The purpose of the Abandoned Landfill Inventory Project is to determine the location of abandoned and closed landfills in order to catalog potential environmental hazards. The data is intended for internal government and public consumption, in order to keep property sales, clean-up efforts, and land development well informed.
For metadata on the ALI Project, see Abandoned Landfill Metadata.
Landfill:
A landfill is a facility that uses land for the disposal of municipal waste.
Processing Facility:
A processing facility is a transfer station, composting facility, resource recovery facility, or a facility that reduces the volume or bulk of municipal waste for offsite reuse.
Resource Recovery:
A resource recovery is a facility that provides for the extraction and utilization of materials or energy from municipal waste. The facility can be a mechanical extraction facility or a combustion facility.
Transfer Station:
A transfer station is a facility that receives and processes or temporarily stores municipal waste at a location other than the generation site. This sub-facility facilitates the transportation or transfer of municipal waste to a processing or disposal facility.
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| Pennsylvania Department of Environmental Protection |
| 2024 |
A Residual Waste Operation is a DEP primary facility type related to the Waste Management Residual Waste Program. Residual waste is waste generated at an industrial, mining, or wastewater treatment facility. The sub-facility types related to Residual Waste that are included are:____ Generator:
A generator is a person, company, institution, or municipality that produces or creates residual waste. Residual waste is waste generated at an industrial, mining, or wastewater treatment facility.
Impoundment:
An impoundment is a facility designed to hold an accumulation of liquid wastes.
Incinerator:
An incinerator is an enclosed device using controlled combustion to thermally break down residual waste.
Land Application:
Land application is a facility that uses agricultural utilization or land reclamation of waste. Residual waste is land applied for its nutrient value or as a soil conditioner.
Landfill:
A landfill is a facility that uses land for the disposal of residual waste.
Processing Facility:
A processing facility is a transfer station, compost facility, resource recovery facility, or a facility that reduces the volume or bulk of residual waste for off-site reuse.
Transfer Station:
A transfer station receives and processes or temporarily stores residual waste at a location other than the generation site. This sub-facility facilitates the transportation or transfer of residual waste to a processing or disposal facility.
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| Pennsylvania Department of Environmental Protection |
| 2024 |
Stormwater management involves the control of water that runs off the surface of the land from rain or melting ice or snow. The volume, or amount of runoff and its rate of runoff, substantially increase as land development occurs. Construction of impervious surfaces, such as roofs and parking lots, and the installation of storm sewer pipes which efficiently collect and discharge runoff, prevent the infiltration of rainfall into the soil. Management of stormwater is necessary to compensate for the possible impacts of development such as frequent flooding, erosion and sedimentation problems, concentration of flow on adjacent properties, damages to roads, bridges and other infrastructure as well as non-point source pollution washed off from impervious surfaces. The Pennsylvania legislature enacted the Storm Water Management Act (No.167) in 1978 to authorize a program of comprehensive watershed stormwater management which retains local implementation and enforcement of stormwater ordinances similar to local responsibility of administration of subdivision and land development regulations. Under the Act, the Department of Environmental Protection (DEP) provides grant money to counties to develop stormwater management plans for designated watersheds. This planning effort results in the incorporation of sound engineering standards and criteria into local codes and ordinances to manage runoff from new development in a coordinated, watershed-wide approach. Counties develop stormwater plans for each of their watersheds within their boundaries. DEP develops grant agreements with counties to pay for 75 percent of the cost to prepare the plans. Upon completion of a plan by a county and approval by DEP, municipalities located in the watershed adopt ordinances consistent with the plan. Developers are then required to follow the local drainage regulations that incorporate the standards of the watershed plan when preparing their land development plan. Although not all watersheds have been studied, developers in non-studied areas are still required to follow any local drainage regulations adopted under the Municipalities Planning Code. County boundaries within Pennsylvania as delineated for the PennDOT Type 10 general highway map.
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| Pennsylvania Department of Environmental Protection |
| 2024 |
A Water Pollution Control Facility is a DEP primary facility type related to the Water Pollution Control Program. The sub-facility types related to Water Pollution Control that are included in eMapPA are: Agricultural Activities - The management and use of farming resources for the production of crops, livestock or poultry. Biosolids Treatment - Indicates that the facility treats sewage sludge to produce a material that can be beneficially used, biosolids. Compost/Processing - Indicates that the facility treats sewage sludge by composting to produce a material that can be beneficially used, biosolids. Conveyance System - Sewage system without treatment. Discharge Point - Discharge point to stream. Groundwater Monitoring Point. Internal Monitoring Point - Used to monitor internal processes - not a discharge. Land Discharge - Land application of wastewater. Manure Management - Activities related to or supporting storage, collection, handling, transport, application, planning, record keeping, generation or other manure management activities. Outfall structure - Outfall structure to stream. Pesticide Treatment Area - These SFs are created to address treatment areas that in reality are often an entire water body, such as a pond. The lat/long coordinates are supposed to be entered at the mid-point or center of the treatment area. Pipeline or Conduit - Pipes or other smaller diameter conveyances that are used to transport or supply liquids or slurries from collection, storage or supply facilities or areas to other facilities or areas for storage, modification or use. These can be for longer-term, medium-term or short-term and would include design, capacity, maintenance, safety, inspection, accident and varying use and weather considerations. Production Service Unit - Catch all sub-facility that covers a variety of industries participating in a multitude of activities such as concentrated animal feeding, pharmaceuticals, paper, steel, utilities, etc. The majority of PSUs are classified as Industrial Waste or Stormwater-Industrial (Primary Facility kind). Pump Station - Sewage pump station. Septage Land Application - Indicates that the septage hauler treats residential septage for land application, meaning that it can be applied to land as a soil amendment/fertilizer. Storage Unit - Storage of wastewater. Treatment Plant - Sewage or industrial wastewater treatment plant.
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| Pennsylvania Department of Environmental Protection |
| 2023 |
Different geologic materials, structures, and land uses all influence the rate in which water can recharge underlying aquifers. This dataset combines factors influencing recharge through standardization and weighting assignments using the Multi-Criteria Decision Analysis (MCDA)-GIS framework to identify land-surface areas that have the potential to provide a large fraction of recharge. Percent impervious cover, land surface slope, percent sand and clay, depth to bedrock, drainage density, karst density, and fault density are used to describe recharge potential within the Susquehanna River Basin (basin). Many of these data layers are used to predict baseflow via regional regression equations in ungaged locations throughout the Mid-Atlantic region; baseflow is often used as an approximation of recharge. Input criteria were prioritized using the Analytic Hierarchy Process (AHP), which is an additive weighting model that can be combined with MCDA. Three general “first-level factors” were identified based on three primary zones of infiltration or recharge; those include the land surface, shallow-subsurface (soil) geology, and structural/bedrock geology. Weighting assignments of input datasets are presented in the table below. WeightFirst-Level FactorsWeightSecond-Level Factors40Land Cover / Terrain25Percent Impervious15Land Surface Slope20Shallow-Subsurface Geology15Percent Sand2.5Percent Clay2.5Depth to Bedrock40Structural / Bedrock Geology25Drainage Density10Karst Density5Fault DensityThe resulting raster dataset describes recharge potential as an index from 100-500, with 100 illustrating areas of least recharge potential and 500 illustrating areas of highest recharge potential. This polygon feature class represents all land surface areas that have corresponding pixel values within the 5th (or highest) quantile recharge class. Verification of these areas via desktop methods is described in detail in the study report available on the Commission's website at https://www.srbc.net/our-work/reports-library/Areas of high recharge potential may potentially overlie open water in features such as in rivers, streams, lakes, or reservoirs. Open water locations may be suitable for recharge, however some input datasets may not be applicable and/or complete for these areas. We combined “waterbody” features from the National Hydrography Dataset (USGS, 1999) and areas classified as “open water” in the National Land Cover Database (USGS, 2019) to comprehensively describe surface waters in the Basin. High recharge potential areas overlying surface waters are denoted by “Yes-Water” in the “High_Pot” attribute field. Reclassification of input datasets, and dataset sources are described in the "Lineage" section of the metadata.
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| Susquehanna River Basin Commission SRBC |
| 2023 |
Different geologic materials, structures, and land uses all influence the rate in which water can recharge underlying aquifers. This dataset combines factors influencing recharge through standardization and weighting assignments using the Multi-Criteria Decision Analysis (MCDA)-GIS framework to identify land-surface areas that have the potential to provide a large fraction of recharge. Percent impervious cover, land surface slope, percent sand and clay, depth to bedrock, drainage density, karst density, and fault density are used to describe recharge potential within the Susquehanna River Basin (basin). Many of these data layers are used to predict baseflow via regional regression equations in ungaged locations throughout the Mid-Atlantic region; baseflow is often used as an approximation of recharge. Input criteria were prioritized using the Analytic Hierarchy Process (AHP), which is an additive weighting model that can be combined with MCDA. Three general “first-level factors” were identified based on three primary zones of infiltration or recharge; those include the land surface, shallow-subsurface (soil) geology, and structural/bedrock geology. Weighting assignments of input datasets are presented in the table below.WeightFirst-Level FactorsWeightSecond-Level Factors40Land Cover / Terrain25Percent Impervious15Land Surface Slope20Shallow-Subsurface Geology15Percent Sand2.5Percent Clay2.5Depth to Bedrock40Structural / Bedrock Geology25Drainage Density10Karst Density5Fault DensityRecharge potential is described as an index from 100-500, with 100 illustrating areas of least recharge potential and 500 illustrating areas of highest recharge potential. This dataset can be extracted and reclassified in user defined areas for local assessments using the quantile classification scheme.Reclassification of input datasets, and dataset sources are described in the "Lineage" section of the metadata.
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| Susquehanna River Basin Commission SRBC |
| 2005 |
The Susquehanna River Basin Commission (SRBC) developed a map package for watershed groups and county conservation districts within the Pennsylvania portion of the basin. Map packages were distributed to 44 non-profit groups in 22 counties, covering 52 watersheds equaling 8,300 square miles in Pennsylvania. The project was funded by the Pennsylvania Department of Environmental Protection (PADEP) through its Growing Greener Grant Program. The map packages were tailored to each group’s watershed and featured four geographic themes – geology, land cover, soils, and watersheds. In addition, abandoned mine lands, political boundaries and hydrologic features, such as wetlands, were incorporated, where applicable. Large (28’ x 36’) and small (8.5’ x 11’) format map images are included. Organizations can use the data and maps to plan and assess watershed conditions and determine methods to improve the quality of the waters.
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| Susquehanna River Basin Commission SRBC |
| 2006 |
This dataset is a digital general soil association
map for the Susquehanna River Basin (2006 boundary) developed by the
National Cooperative Soil Survey. It
consists of a broad based inventory of soils and nonsoil areas
that occur in a repeatable pattern on the landscape and that
can be cartographically shown at the scale mapped. The soil
maps for STATSGO are compiled by generalizing more detailed
soil survey maps. Where more detailed soil survey maps are
not available, data on geology, topography, vegetation, and
climate are assembled, together with Land Remote Sensing
Satellite (LANDSAT) images. Soils of like areas are studied,
and the probable classification and extent of the soils are
determined.
Map unit composition for a STATSGO map is determined by
transecting or sampling areas on the more detailed maps and
expanding the data statistically to characterize the whole map
unit.
This data set consists of georeferenced digital map data and
computerized attribute data. The map data are collected in 1-
by 2-degree topographic quadrangle units and merged and
distributed as statewide coverages. The soil map units are
linked to attributes in the Map Unit Interpretations Record
relational data base which gives the proportionate extent of
the component soils and their properties.
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| Susquehanna River Basin Commission SRBC |
| 2018 |
GIS raster datasets displaying Topographic Wetness Index (TWI) for Adams, Cumberland, Dauphin, Franklin, Lancaster, and York Counties, PA. The TWI rasters were derived from 2016 LiDAR for Dauphin County, 2015 LiDAR for Lancaster and York Counties, and 2006-08 LiDAR for Adams, Cumberland, and Franklin Counties. The TWI rasters were derived from 2015 LiDAR for Lancaster and York Counties and 2006-08 LiDAR for Adams and Franklin Counties. The TauDEM extension (D-Infinity tools) for ArcMap was used to create flow direction, slope, and contributing area rasters. TWI was then calculated using the following equation: Ln (Contributing Area/Slope). The methodology was described by Cody Fink in his 2013 thesis entitled Dynamic Soil Property Change in Response to Natural Gas Development in Pennsylvania. TWI results in a dimensionless raster and should be displayed using a red (low values representing no flow) to blue (high, representing high probability flowpaths) color gradient. TWI results vary depending on raster size and analysis options so value thresholds for probability-based overland flowpaths for water should be field verified.
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| Susquehanna River Basin Commission SRBC |
| 1996 |
Soil types located in the Spring Creek Watershed. Taken from the
Centre County soils classification.
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| The Pennsylvania State University |
| 1996 |
STATSGO, state-wide soil coverage for areas within the Spring
Creek Watershed.
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| The Pennsylvania State University |
| 2022 |
This data set is a digital soil survey and generally is the most
detailed level of soil geographic data developed by the National
Cooperative Soil Survey. The information was prepared by digitizing
maps, by compiling information onto a planimetric correct base
and digitizing, or by revising digitized maps using remotely
sensed and other information.
This data set consists of georeferenced digital map data and
computerized attribute data. The map data are in a soil survey area
extent format and include a detailed, field verified inventory
of soils and nonsoil areas that normally occur in a repeatable
pattern on the landscape and that can be cartographically shown at
the scale mapped. A special soil features layer (point and line
features) is optional. This layer displays the location of features
too small to delineate at the mapping scale, but they are large
enough and contrasting enough to significantly influence use and
management. The soil map units are linked to attributes in the
National Soil Information System relational database, which gives
the proportionate extent of the component soils and their properties.
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| U S Department of Agriculture |
| 2022 |
This data set is a digital soil survey and generally is the most
detailed level of soil geographic data developed by the National
Cooperative Soil Survey. The information was prepared by digitizing
maps, by compiling information onto a planimetric correct base
and digitizing, or by revising digitized maps using remotely
sensed and other information.
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| U S Department of Agriculture |
| 2022 |
This data set is a digital soil survey and generally is the most
detailed level of soil geographic data developed by the National
Cooperative Soil Survey. The information was prepared by digitizing
maps, by compiling information onto a planimetric correct base
and digitizing, or by revising digitized maps using remotely
sensed and other information.
This data set consists of georeferenced digital map data and
computerized attribute data. The map data are in a soil survey area
extent format and include a detailed, field verified inventory
of soils and miscellaneous areas that normally occur in a repeatable
pattern on the landscape and that can be cartographically shown at
the scale mapped. A special soil features layer (point and line
features) is optional. This layer displays the location of features
too small to delineate at the mapping scale, but they are large
enough and contrasting enough to significantly influence use and
management. The soil map units are linked to attributes in the
National Soil Information System relational database, which gives
the proportionate extent of the component soils and their properties.
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| U S Department of Agriculture |
| 2022 |
This data set is a digital soil survey and generally is the most
detailed level of soil geographic data developed by the National
Cooperative Soil Survey. The information was prepared by digitizing
maps, by compiling information onto a planimetric correct base
and digitizing, or by revising digitized maps using remotely
sensed and other information.
This data set consists of georeferenced digital map data and
computerized attribute data. The map data are in a soil survey area
extent format and include a detailed, field verified inventory
of soils and miscellaneous areas that normally occur in a repeatable
pattern on the landscape and that can be cartographically shown at
the scale mapped. A special soil features layer (point and line
features) is optional. This layer displays the location of features
too small to delineate at the mapping scale, but they are large
enough and contrasting enough to significantly influence use and
management. The soil map units are linked to attributes in the
National Soil Information System relational database, which gives
the proportionate extent of the component soils and their properties.
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| U S Department of Agriculture |
| 2022 |
This data set is a digital soil survey and generally is the most
detailed level of soil geographic data developed by the National
Cooperative Soil Survey. The information was prepared by digitizing
maps, by compiling information onto a planimetric correct base
and digitizing, or by revising digitized maps using remotely
sensed and other information.
This data set consists of georeferenced digital map data and
computerized attribute data. The map data are in a soil survey area
extent format and include a detailed, field verified inventory
of soils and nonsoil areas that normally occur in a repeatable
pattern on the landscape and that can be cartographically shown at
the scale mapped. A special soil features layer (point and line
features) is optional. This layer displays the location of features
too small to delineate at the mapping scale, but they are large
enough and contrasting enough to significantly influence use and
management. The soil map units are linked to attributes in the
National Soil Information System relational database, which gives
the proportionate extent of the component soils and their properties.
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| U S Department of Agriculture |
| 2022 |
This data set is a digital soil survey and generally is the most
detailed level of soil geographic data developed by the National
Cooperative Soil Survey. The information was prepared by digitizing
maps, by compiling information onto a planimetric correct base
and digitizing, or by revising digitized maps using remotely
sensed and other information.
This data set consists of georeferenced digital map data and
computerized attribute data. The map data are in a soil survey area
extent format and include a detailed, field verified inventory
of soils and nonsoil areas that normally occur in a repeatable
pattern on the landscape and that can be cartographically shown at
the scale mapped. A special soil features layer (point and line
features) is optional. This layer displays the location of features
too small to delineate at the mapping scale, but they are large
enough and contrasting enough to significantly influence use and
management. The soil map units are linked to attributes in the
National Soil Information System relational database, which gives
the proportionate extent of the component soils and their properties.
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| U S Department of Agriculture |
| 2022 |
This data set is a digital soil survey and generally is the most
detailed level of soil geographic data developed by the National
Cooperative Soil Survey. The information was prepared by digitizing
maps, by compiling information onto a planimetric correct base
and digitizing, or by revising digitized maps using remotely
sensed and other information.
This data set consists of georeferenced digital map data and
computerized attribute data. The map data are in a soil survey area
extent format and include a detailed, field verified inventory
of soils and nonsoil areas that normally occur in a repeatable
pattern on the landscape and that can be cartographically shown at
the scale mapped. A special soil features layer (point and line
features) is optional. This layer displays the location of features
too small to delineate at the mapping scale, but they are large
enough and contrasting enough to significantly influence use and
management. The soil map units are linked to attributes in the
National Soil Information System relational database, which gives
the proportionate extent of the component soils and their properties.
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| U S Department of Agriculture |
| 2022 |
This data set is a digital soil survey and generally is the most
detailed level of soil geographic data developed by the National
Cooperative Soil Survey. The information was prepared by digitizing
maps, by compiling information onto a planimetric correct base
and digitizing, or by revising digitized maps using remotely
sensed and other information.
This data set consists of georeferenced digital map data and
computerized attribute data. The map data are in a soil survey area
extent format and include a detailed, field verified inventory
of soils and nonsoil areas that normally occur in a repeatable
pattern on the landscape and that can be cartographically shown at
the scale mapped. A special soil features layer (point and line
features) is optional. This layer displays the location of features
too small to delineate at the mapping scale, but they are large
enough and contrasting enough to significantly influence use and
management. The soil map units are linked to attributes in the
National Soil Information System relational database, which gives
the proportionate extent of the component soils and their properties.
Metadata
|
Download
|
Preview
|
KMZ
|
GeoJSON
|
Add to ArcMap:
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or
Feature
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| U S Department of Agriculture |
| 2022 |
This data set is a digital soil survey and generally is the most
detailed level of soil geographic data developed by the National
Cooperative Soil Survey. The information was prepared by digitizing
maps, by compiling information onto a planimetric correct base
and digitizing, or by revising digitized maps using remotely
sensed and other information.
Metadata
|
Download
|
Preview
|
KMZ
|
GeoJSON
|
Add to ArcMap:
Image
or
Feature
|
Add to ArcGIS Pro
| More Options...
| U S Department of Agriculture |
| 2022 |
This data set is a digital soil survey and generally is the most
detailed level of soil geographic data developed by the National
Cooperative Soil Survey. The information was prepared by digitizing
maps, by compiling information onto a planimetric correct base
and digitizing, or by revising digitized maps using remotely
sensed and other information.
This data set consists of georeferenced digital map data and
computerized attribute data. The map data are in a soil survey area
extent format and include a detailed, field verified inventory
of soils and nonsoil areas that normally occur in a repeatable
pattern on the landscape and that can be cartographically shown at
the scale mapped. A special soil features layer (point and line
features) is optional. This layer displays the location of features
too small to delineate at the mapping scale, but they are large
enough and contrasting enough to significantly influence use and
management. The soil map units are linked to attributes in the
National Soil Information System relational database, which gives
the proportionate extent of the component soils and their properties.
Metadata
|
Download
|
Preview
|
KMZ
|
GeoJSON
|
Add to ArcMap:
Image
or
Feature
|
Add to ArcGIS Pro
| More Options...
| U S Department of Agriculture |
| 2022 |
This data set is a digital soil survey and generally is the most
detailed level of soil geographic data developed by the National
Cooperative Soil Survey. The information was prepared by digitizing
maps, by compiling information onto a planimetric correct base
and digitizing, or by revising digitized maps using remotely
sensed and other information.
This data set consists of georeferenced digital map data and
computerized attribute data. The map data are in a soil survey area
extent format and include a detailed, field verified inventory
of soils and nonsoil areas that normally occur in a repeatable
pattern on the landscape and that can be cartographically shown at
the scale mapped. A special soil features layer (point and line
features) is optional. This layer displays the location of features
too small to delineate at the mapping scale, but they are large
enough and contrasting enough to significantly influence use and
management. The soil map units are linked to attributes in the
National Soil Information System relational database, which gives
the proportionate extent of the component soils and their properties.
Metadata
|
Download
|
Preview
|
KMZ
|
GeoJSON
|
Add to ArcMap:
Image
or
Feature
|
Add to ArcGIS Pro
| More Options...
| U S Department of Agriculture |
| 2022 |
This data set is a digital soil survey and generally is the most
detailed level of soil geographic data developed by the National
Cooperative Soil Survey. The information was prepared by digitizing
maps, by compiling information onto a planimetric correct base
and digitizing, or by revising digitized maps using remotely
sensed and other information.
This data set consists of georeferenced digital map data and
computerized attribute data. The map data are in a soil survey area
extent format and include a detailed, field verified inventory
of soils and nonsoil areas that normally occur in a repeatable
pattern on the landscape and that can be cartographically shown at
the scale mapped. A special soil features layer (point and line
features) is optional. This layer displays the location of features
too small to delineate at the mapping scale, but they are large
enough and contrasting enough to significantly influence use and
management. The soil map units are linked to attributes in the
National Soil Information System relational database, which gives
the proportionate extent of the component soils and their properties.
Metadata
|
Download
|
Preview
|
KMZ
|
GeoJSON
|
Add to ArcMap:
Image
or
Feature
|
Add to ArcGIS Pro
| More Options...
| U S Department of Agriculture |
| 2022 |
This data set is a digital soil survey and generally is the most
detailed level of soil geographic data developed by the National
Cooperative Soil Survey. The information was prepared by digitizing
maps, by compiling information onto a planimetric correct base
and digitizing, or by revising digitized maps using remotely
sensed and other information.
This data set consists of georeferenced digital map data and
computerized attribute data. The map data are in a soil survey area
extent format and include a detailed, field verified inventory
of soils and nonsoil areas that normally occur in a repeatable
pattern on the landscape and that can be cartographically shown at
the scale mapped. A special soil features layer (point and line
features) is optional. This layer displays the location of features
too small to delineate at the mapping scale, but they are large
enough and contrasting enough to significantly influence use and
management. The soil map units are linked to attributes in the
National Soil Information System relational database, which gives
the proportionate extent of the component soils and their properties.
Metadata
|
Download
|
Preview
|
KMZ
|
GeoJSON
|
Add to ArcMap:
Image
or
Feature
|
Add to ArcGIS Pro
| More Options...
| U S Department of Agriculture |
| 2022 |
This data set is a digital soil survey and generally is the most
detailed level of soil geographic data developed by the National
Cooperative Soil Survey. The information was prepared by digitizing
maps, by compiling information onto a planimetric correct base
and digitizing, or by revising digitized maps using remotely
sensed and other information.
This data set consists of georeferenced digital map data and
computerized attribute data. The map data are in a soil survey area
extent format and include a detailed, field verified inventory
of soils and miscellaneous areas that normally occur in a repeatable
pattern on the landscape and that can be cartographically shown at
the scale mapped. A special soil features layer (point and line
features) is optional. This layer displays the location of features
too small to delineate at the mapping scale, but they are large
enough and contrasting enough to significantly influence use and
management. The soil map units are linked to attributes in the
National Soil Information System relational database, which gives
the proportionate extent of the component soils and their properties.
Metadata
|
Download
|
Preview
|
KMZ
|
GeoJSON
|
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| U S Department of Agriculture |
| 1997 |
This data set includes all soil map units that are defined
as Hydric in the SSURGO data base. The SSURGO data set is a digital
soil survey and is the most detailed level of soil geographic data
developed by the National Cooperative Soil Survey. The information
was collected by digitizing maps, by compiling information onto a
planimetric correct base and digitizing, or by revising digitized
maps using remotely sensed and other information.
The SSURGO data set consists of georeferenced digital map data and
computerized attribute data. The map data are in a full county
format and include a detailed, field verified inventory
of soils and nonsoil areas that normally occur in a repeatable
pattern on the landscape and that can be cartographically shown at
the scale mapped. Sometimes a special soil features layer (point
and line features) is included. This layer displays the location of
features too small to delineate at the mapping scale, but they are
large enough and contrasting enough to significantly influence use
and management. The soil map units are linked to attributes in the
Map Unit Interpretations Record relational data base, which gives
the proportionate extent of the component soils and their
properties.
|
The data set has been provided to Chester County Departments and
PASDA as an ArcView shapefile by the County of Chester, Department
of Computer and Information Services. The theme has been
reprojected to PA Stateplane (South) NAD83 from its original datum
in accordance with the base map standards of the County of Chester.
The County of Chester serves as the secondary organization in
providing this shapefile, as compared to its originator and primary
organization, the Natural Resources Conservation Service .
Metadata
|
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| U S Department of Agriculture |
| 1997 |
This data set represents Prime Agricultural Soils as defined by
the County of Chester. The designation equates to any soil map unit
designation as 1 or 2 in the Nonirrigated Capability Class from the SSURGO
data base. The SSURGO data set is a digital soil survey and is the most
detailed level of soil geographic data developed by the National
Cooperative Soil Survey. The information was collected by
digitizing maps, by compiling information onto a planimetric
correct base and digitizing, or by revising digitized maps using
remotely sensed and other information.
The SSURGO data set consists of georeferenced digital map data and
computerized attribute data. The map data are in a full county
format and include a detailed, field verified inventory
of soils and nonsoil areas that normally occur in a repeatable
pattern on the landscape and that can be cartographically shown at
the scale mapped. Sometimes a special soil features layer (point
and line features) is included. This layer displays the location of
features too small to delineate at the mapping scale, but they are
large enough and contrasting enough to significantly influence use
and management. The soil map units are linked to attributes in the
Map Unit Interpretations Record relational data base, which gives
the proportionate extent of the component soils and their
properties.
The data set has been provided to Chester County Departments and PASDA as an
ArcView shapefile by the County of Chester, Department of Computer and
Information Services. The theme has been reprojected to PA Stateplane
NAD83 from its original datum in accordance with the base map standards of
the County of Chester. The County of Chester serves as the secondary
organization in providing this shapefile, as compared to its originator
and primary organization, the Natural Resources Conservation Service.
Metadata
|
Download
| More Options...
| U S Department of Agriculture |
| 2022 |
This data set is a digital soil survey and generally is the most
detailed level of soil geographic data developed by the National
Cooperative Soil Survey. The information was prepared by digitizing
maps, by compiling information onto a planimetric correct base
and digitizing, or by revising digitized maps using remotely
sensed and other information.
This data set consists of georeferenced digital map data and
computerized attribute data. The map data are in a soil survey area
extent format and include a detailed, field verified inventory
of soils and miscellaneous areas that normally occur in a repeatable
pattern on the landscape and that can be cartographically shown at
the scale mapped. A special soil features layer (point and line
features) is optional. This layer displays the location of features
too small to delineate at the mapping scale, but they are large
enough and contrasting enough to significantly influence use and
management. The soil map units are linked to attributes in the
National Soil Information System relational database, which gives
the proportionate extent of the component soils and their properties
Metadata
|
Download
|
Preview
|
KMZ
|
GeoJSON
|
Add to ArcMap:
Image
or
Feature
|
Add to ArcGIS Pro
| More Options...
| U S Department of Agriculture |
| 2022 |
This data set is a digital soil survey and generally is the most
detailed level of soil geographic data developed by the National
Cooperative Soil Survey. The information was prepared by digitizing
maps, by compiling information onto a planimetric correct base
and digitizing, or by revising digitized maps using remotely
sensed and other information.
Metadata
|
Download
|
Preview
|
KMZ
|
GeoJSON
|
Add to ArcMap:
Image
or
Feature
|
Add to ArcGIS Pro
| More Options...
| U S Department of Agriculture |
| 2022 |
This data set is a digital soil survey and generally is the most
detailed level of soil geographic data developed by the National
Cooperative Soil Survey. The information was prepared by digitizing
maps, by compiling information onto a planimetric correct base
and digitizing, or by revising digitized maps using remotely
sensed and other information.
Metadata
|
Download
|
Preview
|
KMZ
|
GeoJSON
|
Add to ArcMap:
Image
or
Feature
|
Add to ArcGIS Pro
| More Options...
| U S Department of Agriculture |
| 2022 |
This data set is a digital soil survey and generally is the most
detailed level of soil geographic data developed by the National
Cooperative Soil Survey. The information was prepared by digitizing
maps, by compiling information onto a planimetric correct base
and digitizing, or by revising digitized maps using remotely
sensed and other information.
This data set consists of georeferenced digital map data and
computerized attribute data. The map data are in a soil survey area
extent format and include a detailed, field verified inventory
of soils and nonsoil areas that normally occur in a repeatable
pattern on the landscape and that can be cartographically shown at
the scale mapped. A special soil features layer (point and line
features) is optional. This layer displays the location of features
too small to delineate at the mapping scale, but they are large
enough and contrasting enough to significantly influence use and
management. The soil map units are linked to attributes in the
National Soil Information System relational database, which gives
the proportionate extent of the component soils and their properties.
Metadata
|
Download
|
Preview
|
KMZ
|
GeoJSON
|
Add to ArcMap:
Image
or
Feature
|
Add to ArcGIS Pro
| More Options...
| U S Department of Agriculture |
| 2022 |
This data set is a digital soil survey and generally is the most
detailed level of soil geographic data developed by the National
Cooperative Soil Survey. The information was prepared by digitizing
maps, by compiling information onto a planimetric correct base
and digitizing, or by revising digitized maps using remotely
sensed and other information.
This data set consists of georeferenced digital map data and
computerized attribute data. The map data are in a soil survey area
extent format and include a detailed, field verified inventory
of soils and nonsoil areas that normally occur in a repeatable
pattern on the landscape and that can be cartographically shown at
the scale mapped. A special soil features layer (point and line
features) is optional. This layer displays the location of features
too small to delineate at the mapping scale, but they are large
enough and contrasting enough to significantly influence use and
management. The soil map units are linked to attributes in the
National Soil Information System relational database, which gives
the proportionate extent of the component soils and their properties.
Metadata
|
Download
|
Preview
|
KMZ
|
GeoJSON
|
Add to ArcMap:
Image
or
Feature
|
Add to ArcGIS Pro
| More Options...
| U S Department of Agriculture |
| 2022 |
This data set is a digital soil survey and generally is the most
detailed level of soil geographic data developed by the National
Cooperative Soil Survey. The information was prepared by digitizing
maps, by compiling information onto a planimetric correct base
and digitizing, or by revising digitized maps using remotely
sensed and other information.
This data set consists of georeferenced digital map data and
computerized attribute data. The map data are in a soil survey area
extent format and include a detailed, field verified inventory
of soils and miscellaneous areas that normally occur in a repeatable
pattern on the landscape and that can be cartographically shown at
the scale mapped. A special soil features layer (point and line
features) is optional. This layer displays the location of features
too small to delineate at the mapping scale, but they are large
enough and contrasting enough to significantly influence use and
management. The soil map units are linked to attributes in the
National Soil Information System relational database, which gives
the proportionate extent of the component soils and their properties.
Metadata
|
Download
|
Preview
|
KMZ
|
GeoJSON
|
Add to ArcMap:
Image
or
Feature
|
Add to ArcGIS Pro
| More Options...
| U S Department of Agriculture |
| 2022 |
This data set is a digital soil survey and generally is the most
detailed level of soil geographic data developed by the National
Cooperative Soil Survey. The information was prepared by digitizing
maps, by compiling information onto a planimetric correct base
and digitizing, or by revising digitized maps using remotely
sensed and other information.
This data set consists of georeferenced digital map data and
computerized attribute data. The map data are in a soil survey area
extent format and include a detailed, field verified inventory
of soils and nonsoil areas that normally occur in a repeatable
pattern on the landscape and that can be cartographically shown at
the scale mapped. A special soil features layer (point and line
features) is optional. This layer displays the location of features
too small to delineate at the mapping scale, but they are large
enough and contrasting enough to significantly influence use and
management. The soil map units are linked to attributes in the
National Soil Information System relational database, which gives
the proportionate extent of the component soils and their properties.
Metadata
|
Download
|
Preview
|
KMZ
|
GeoJSON
|
Add to ArcMap:
Image
or
Feature
|
Add to ArcGIS Pro
| More Options...
| U S Department of Agriculture |
| 2022 |
This data set is a digital soil survey and generally is the most
detailed level of soil geographic data developed by the National
Cooperative Soil Survey. The information was prepared by digitizing
maps, by compiling information onto a planimetric correct base
and digitizing, or by revising digitized maps using remotely
sensed and other information.
Metadata
|
Download
|
Preview
|
KMZ
|
GeoJSON
|
Add to ArcMap:
Image
or
Feature
|
Add to ArcGIS Pro
| More Options...
| U S Department of Agriculture |
| 2022 |
This data set is a digital soil survey and generally is the most
detailed level of soil geographic data developed by the National
Cooperative Soil Survey. The information was prepared by digitizing
maps, by compiling information onto a planimetric correct base
and digitizing, or by revising digitized maps using remotely
sensed and other information.
This data set consists of georeferenced digital map data and
computerized attribute data. The map data are in a soil survey area
extent format and include a detailed, field verified inventory
of soils and miscellaneous areas that normally occur in a repeatable
pattern on the landscape and that can be cartographically shown at
the scale mapped. A special soil features layer (point and line
features) is optional. This layer displays the location of features
too small to delineate at the mapping scale, but they are large
enough and contrasting enough to significantly influence use and
management. The soil map units are linked to attributes in the
National Soil Information System relational database, which gives
the proportionate extent of the component soils and their properties.
Metadata
|
Download
|
Preview
|
KMZ
|
GeoJSON
|
Add to ArcMap:
Image
or
Feature
|
Add to ArcGIS Pro
| More Options...
| U S Department of Agriculture |
| 2022 |
This data set is a digital soil survey and generally is the most
detailed level of soil geographic data developed by the National
Cooperative Soil Survey. The information was prepared by digitizing
maps, by compiling information onto a planimetric correct base
and digitizing, or by revising digitized maps using remotely
sensed and other information.
This data set consists of georeferenced digital map data and
computerized attribute data. The map data are in a soil survey area
extent format and include a detailed, field verified inventory
of soils and nonsoil areas that normally occur in a repeatable
pattern on the landscape and that can be cartographically shown at
the scale mapped. A special soil features layer (point and line
features) is optional. This layer displays the location of features
too small to delineate at the mapping scale, but they are large
enough and contrasting enough to significantly influence use and
management. The soil map units are linked to attributes in the
National Soil Information System relational database, which gives
the proportionate extent of the component soils and their properties.
Metadata
|
Download
|
Preview
|
KMZ
|
GeoJSON
|
Add to ArcMap:
Image
or
Feature
|
Add to ArcGIS Pro
| More Options...
| U S Department of Agriculture |
| 2022 |
This data set is a digital soil survey and generally is the most
detailed level of soil geographic data developed by the National
Cooperative Soil Survey. The information was prepared by digitizing
maps, by compiling information onto a planimetric correct base
and digitizing, or by revising digitized maps using remotely
sensed and other information.
This data set consists of georeferenced digital map data and
computerized attribute data. The map data are in a soil survey area
extent format and include a detailed, field verified inventory
of soils and nonsoil areas that normally occur in a repeatable
pattern on the landscape and that can be cartographically shown at
the scale mapped. A special soil features layer (point and line
features) is optional. This layer displays the location of features
too small to delineate at the mapping scale, but they are large
enough and contrasting enough to significantly influence use and
management. The soil map units are linked to attributes in the
National Soil Information System relational database, which gives
the proportionate extent of the component soils and their properties.
Metadata
|
Download
|
Preview
|
KMZ
|
GeoJSON
|
Add to ArcMap:
Image
or
Feature
|
Add to ArcGIS Pro
| More Options...
| U S Department of Agriculture |
| 2022 |
This data set is a digital soil survey and generally is the most
detailed level of soil geographic data developed by the National
Cooperative Soil Survey. The information was prepared by digitizing
maps, by compiling information onto a planimetric correct base
and digitizing, or by revising digitized maps using remotely
sensed and other information.
detailed level of soil geographic data developed by the National
Cooperative Soil Survey. The information was prepared by digitizing
maps, by compiling information onto a planimetric correct base
and digitizing, or by revising digitized maps using remotely
sensed and other information.
This data set consists of georeferenced digital map data and
computerized attribute data. The map data are in a soil survey area
extent format and include a detailed, field verified inventory
of soils and nonsoil areas that normally occur in a repeatable
pattern on the landscape and that can be cartographically shown at
the scale mapped. A special soil features layer (point and line
features) is optional. This layer displays the location of features
too small to delineate at the mapping scale, but they are large
enough and contrasting enough to significantly influence use and
management. The soil map units are linked to attributes in the
National Soil Information System relational database, which gives
the proportionate extent of the component soils and their properties.
Metadata
|
Download
|
Preview
|
KMZ
|
GeoJSON
|
Add to ArcMap:
Image
or
Feature
|
Add to ArcGIS Pro
| More Options...
| U S Department of Agriculture |
| 2022 |
This data set is a digital soil survey and generally is the most
detailed level of soil geographic data developed by the National
Cooperative Soil Survey. The information was prepared by digitizing
maps, by compiling information onto a planimetric correct base
and digitizing, or by revising digitized maps using remotely
sensed and other information.
This data set consists of georeferenced digital map data and
computerized attribute data. The map data are in a soil survey area
extent format and include a detailed, field verified inventory
of soils and nonsoil areas that normally occur in a repeatable
pattern on the landscape and that can be cartographically shown at
the scale mapped. A special soil features layer (point and line
features) is optional. This layer displays the location of features
too small to delineate at the mapping scale, but they are large
enough and contrasting enough to significantly influence use and
management. The soil map units are linked to attributes in the
National Soil Information System relational database, which gives
the proportionate extent of the component soils and their properties.
Metadata
|
Download
|
Preview
|
KMZ
|
GeoJSON
|
Add to ArcMap:
Image
or
Feature
|
Add to ArcGIS Pro
| More Options...
| U S Department of Agriculture |
| 2022 |
This data set is a digital soil survey and generally is the most
detailed level of soil geographic data developed by the National
Cooperative Soil Survey. The information was prepared by digitizing
maps, by compiling information onto a planimetric correct base
and digitizing, or by revising digitized maps using remotely
sensed and other information.
This data set consists of georeferenced digital map data and
computerized attribute data. The map data are in a soil survey area
extent format and include a detailed, field verified inventory
of soils and nonsoil areas that normally occur in a repeatable
pattern on the landscape and that can be cartographically shown at
the scale mapped. A special soil features layer (point and line
features) is optional. This layer displays the location of features
too small to delineate at the mapping scale, but they are large
enough and contrasting enough to significantly influence use and
management. The soil map units are linked to attributes in the
National Soil Information System relational database, which gives
the proportionate extent of the component soils and their properties.
Metadata
|
Download
|
Preview
|
KMZ
|
GeoJSON
|
Add to ArcMap:
Image
or
Feature
|
Add to ArcGIS Pro
| More Options...
| U S Department of Agriculture |
| 2022 |
This data set is a digital soil survey and generally is the most
detailed level of soil geographic data developed by the National
Cooperative Soil Survey. The information was prepared by digitizing
maps, by compiling information onto a planimetric correct base
and digitizing, or by revising digitized maps using remotely
sensed and other information.
This data set consists of georeferenced digital map data and
computerized attribute data. The map data are in a soil survey area
extent format and include a detailed, field verified inventory
of soils and miscellaneous areas that normally occur in a repeatable
pattern on the landscape and that can be cartographically shown at
the scale mapped. A special soil features layer (point and line
features) is optional. This layer displays the location of features
too small to delineate at the mapping scale, but they are large
enough and contrasting enough to significantly influence use and
management. The soil map units are linked to attributes in the
National Soil Information System relational database, which gives
the proportionate extent of the component soils and their properties.
Metadata
|
Download
|
Preview
|
KMZ
|
GeoJSON
|
Add to ArcMap:
Image
or
Feature
|
Add to ArcGIS Pro
| More Options...
| U S Department of Agriculture |
| 2022 |
This data set is a digital soil survey and generally is the most
detailed level of soil geographic data developed by the National
Cooperative Soil Survey. The information was prepared by digitizing
maps, by compiling information onto a planimetric correct base
and digitizing, or by revising digitized maps using remotely
sensed and other information.
This data set consists of georeferenced digital map data and
computerized attribute data. The map data are in a soil survey area
extent format and include a detailed, field verified inventory
of soils and nonsoil areas that normally occur in a repeatable
pattern on the landscape and that can be cartographically shown at
the scale mapped. A special soil features layer (point and line
features) is optional. This layer displays the location of features
too small to delineate at the mapping scale, but they are large
enough and contrasting enough to significantly influence use and
management. The soil map units are linked to attributes in the
National Soil Information System relational database, which gives
the proportionate extent of the component soils and their properties.
Metadata
|
Download
|
Preview
|
KMZ
|
GeoJSON
|
Add to ArcMap:
Image
or
Feature
|
Add to ArcGIS Pro
| More Options...
| U S Department of Agriculture |
| 2022 |
This data set is a digital soil survey and generally is the most
detailed level of soil geographic data developed by the National
Cooperative Soil Survey. The information was prepared by digitizing
maps, by compiling information onto a planimetric correct base
and digitizing, or by revising digitized maps using remotely
sensed and other information.
Metadata
|
Download
|
Preview
|
KMZ
|
GeoJSON
|
Add to ArcMap:
Image
or
Feature
|
Add to ArcGIS Pro
| More Options...
| U S Department of Agriculture |
| 2022 |
This data set is a digital soil survey and generally is the most
detailed level of soil geographic data developed by the National
Cooperative Soil Survey. The information was prepared by digitizing
maps, by compiling information onto a planimetric correct base
and digitizing, or by revising digitized maps using remotely
sensed and other information.
This data set consists of georeferenced digital map data and
computerized attribute data. The map data are in a soil survey area
extent format and include a detailed, field verified inventory
of soils and nonsoil areas that normally occur in a repeatable
pattern on the landscape and that can be cartographically shown at
the scale mapped. A special soil features layer (point and line
features) is optional. This layer displays the location of features
too small to delineate at the mapping scale, but they are large
enough and contrasting enough to significantly influence use and
management. The soil map units are linked to attributes in the
National Soil Information System relational database, which gives
the proportionate extent of the component soils and their properties.
Metadata
|
Download
|
Preview
|
KMZ
|
GeoJSON
|
Add to ArcMap:
Image
or
Feature
|
Add to ArcGIS Pro
| More Options...
| U S Department of Agriculture |
| 2022 |
This data set is a digital soil survey and generally is the most
detailed level of soil geographic data developed by the National
Cooperative Soil Survey. The information was prepared by digitizing
maps, by compiling information onto a planimetric correct base
and digitizing, or by revising digitized maps using remotely
sensed and other information.
This data set consists of georeferenced digital map data and
computerized attribute data. The map data are in a soil survey area
extent format and include a detailed, field verified inventory
of soils and miscellaneous areas that normally occur in a repeatable
pattern on the landscape and that can be cartographically shown at
the scale mapped. A special soil features layer (point and line
features) is optional. This layer displays the location of features
too small to delineate at the mapping scale, but they are large
enough and contrasting enough to significantly influence use and
management. The soil map units are linked to attributes in the
National Soil Information System relational database, which gives
the proportionate extent of the component soils and their properties.
Metadata
|
Download
|
Preview
|
KMZ
|
GeoJSON
|
Add to ArcMap:
Image
or
Feature
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Add to ArcGIS Pro
| More Options...
| U S Department of Agriculture |
| 2022 |
This data set is a digital soil survey and generally is the most
detailed level of soil geographic data developed by the National
Cooperative Soil Survey. The information was prepared by digitizing
maps, by compiling information onto a planimetric correct base
and digitizing, or by revising digitized maps using remotely
sensed and other information.
This data set consists of georeferenced digital map data and
computerized attribute data. The map data are in a soil survey area
extent format and include a detailed, field verified inventory
of soils and nonsoil areas that normally occur in a repeatable
pattern on the landscape and that can be cartographically shown at
the scale mapped. A special soil features layer (point and line
features) is optional. This layer displays the location of features
too small to delineate at the mapping scale, but they are large
enough and contrasting enough to significantly influence use and
management. The soil map units are linked to attributes in the
National Soil Information System relational database, which gives
the proportionate extent of the component soils and their properties.
Metadata
|
Download
|
Preview
|
KMZ
|
GeoJSON
|
Add to ArcMap:
Image
or
Feature
|
Add to ArcGIS Pro
| More Options...
| U S Department of Agriculture |
| 2022 |
This data set is a digital soil survey and generally is the most
detailed level of soil geographic data developed by the National
Cooperative Soil Survey. The information was prepared by digitizing
maps, by compiling information onto a planimetric correct base
and digitizing, or by revising digitized maps using remotely
sensed and other information.
This data set consists of georeferenced digital map data and
computerized attribute data. The map data are in a soil survey area
extent format and include a detailed, field verified inventory
of soils and nonsoil areas that normally occur in a repeatable
pattern on the landscape and that can be cartographically shown at
the scale mapped. A special soil features layer (point and line
features) is optional. This layer displays the location of features
too small to delineate at the mapping scale, but they are large
enough and contrasting enough to significantly influence use and
management. The soil map units are linked to attributes in the
National Soil Information System relational database, which gives
the proportionate extent of the component soils and their properties.
Metadata
|
Download
|
Preview
|
KMZ
|
GeoJSON
|
Add to ArcMap:
Image
or
Feature
|
Add to ArcGIS Pro
| More Options...
| U S Department of Agriculture |
| 2022 |
This data set is a digital soil survey and generally is the most
detailed level of soil geographic data developed by the National
Cooperative Soil Survey. The information was prepared by digitizing
maps, by compiling information onto a planimetric correct base
and digitizing, or by revising digitized maps using remotely
sensed and other information.
This data set consists of georeferenced digital map data and
computerized attribute data. The map data are in a soil survey area
extent format and include a detailed, field verified inventory
of soils and nonsoil areas that normally occur in a repeatable
pattern on the landscape and that can be cartographically shown at
the scale mapped. A special soil features layer (point and line
features) is optional. This layer displays the location of features
too small to delineate at the mapping scale, but they are large
enough and contrasting enough to significantly influence use and
management. The soil map units are linked to attributes in the
National Soil Information System relational database, which gives
the proportionate extent of the component soils and their properties.
Metadata
|
Download
|
Preview
|
KMZ
|
GeoJSON
|
Add to ArcMap:
Image
or
Feature
|
Add to ArcGIS Pro
| More Options...
| U S Department of Agriculture |
| 2022 |
This data set is a digital soil survey and generally is the most
detailed level of soil geographic data developed by the National
Cooperative Soil Survey. The information was prepared by digitizing
maps, by compiling information onto a planimetric correct base
and digitizing, or by revising digitized maps using remotely
sensed and other information.
Metadata
|
Download
|
Preview
|
KMZ
|
GeoJSON
|
Add to ArcMap:
Image
or
Feature
|
Add to ArcGIS Pro
| More Options...
| U S Department of Agriculture |
| 2022 |
This data set is a digital soil survey and generally is the most
detailed level of soil geographic data developed by the National
Cooperative Soil Survey. The information was prepared by digitizing
maps, by compiling information onto a planimetric correct base
and digitizing, or by revising digitized maps using remotely
sensed and other information.
This data set consists of georeferenced digital map data and
computerized attribute data. The map data are in a soil survey area
extent format and include a detailed, field verified inventory
of soils and nonsoil areas that normally occur in a repeatable
pattern on the landscape and that can be cartographically shown at
the scale mapped. A special soil features layer (point and line
features) is optional. This layer displays the location of features
too small to delineate at the mapping scale, but they are large
enough and contrasting enough to significantly influence use and
management. The soil map units are linked to attributes in the
National Soil Information System relational database, which gives
the proportionate extent of the component soils and their properties.
Metadata
|
Download
|
Preview
|
KMZ
|
GeoJSON
|
Add to ArcMap:
Image
or
Feature
|
Add to ArcGIS Pro
| More Options...
| U S Department of Agriculture |
| 2022 |
This data set is a digital soil survey and generally is the most
detailed level of soil geographic data developed by the National
Cooperative Soil Survey. The information was prepared by digitizing
maps, by compiling information onto a planimetric correct base
and digitizing, or by revising digitized maps using remotely
sensed and other information.
This data set consists of georeferenced digital map data and
computerized attribute data. The map data are in a soil survey area
extent format and include a detailed, field verified inventory
of soils and nonsoil areas that normally occur in a repeatable
pattern on the landscape and that can be cartographically shown at
the scale mapped. A special soil features layer (point and line
features) is optional. This layer displays the location of features
too small to delineate at the mapping scale, but they are large
enough and contrasting enough to significantly influence use and
management. The soil map units are linked to attributes in the
National Soil Information System relational database, which gives
the proportionate extent of the component soils and their properties.
Metadata
|
Download
|
Preview
|
KMZ
|
GeoJSON
|
Add to ArcMap:
Image
or
Feature
|
Add to ArcGIS Pro
| More Options...
| U S Department of Agriculture |
| 2022 |
This data set is a digital soil survey and generally is the most
detailed level of soil geographic data developed by the National
Cooperative Soil Survey. The information was prepared by digitizing
maps, by compiling information onto a planimetric correct base
and digitizing, or by revising digitized maps using remotely
sensed and other information.
This data set consists of georeferenced digital map data and
computerized attribute data. The map data are in a soil survey area
extent format and include a detailed, field verified inventory
of soils and nonsoil areas that normally occur in a repeatable
pattern on the landscape and that can be cartographically shown at
the scale mapped. A special soil features layer (point and line
features) is optional. This layer displays the location of features
too small to delineate at the mapping scale, but they are large
enough and contrasting enough to significantly influence use and
management. The soil map units are linked to attributes in the
National Soil Information System relational database, which gives
the proportionate extent of the component soils and their properties.
Metadata
|
Download
|
Preview
|
KMZ
|
GeoJSON
|
Add to ArcMap:
Image
or
Feature
|
Add to ArcGIS Pro
| More Options...
| U S Department of Agriculture |
| 2022 |
This data set is a digital soil survey and generally is the most
detailed level of soil geographic data developed by the National
Cooperative Soil Survey. The information was prepared by digitizing
maps, by compiling information onto a planimetric correct base
and digitizing, or by revising digitized maps using remotely
sensed and other information.
Metadata
|
Download
|
Preview
|
KMZ
|
GeoJSON
|
Add to ArcMap:
Image
or
Feature
|
Add to ArcGIS Pro
| More Options...
| U S Department of Agriculture |
| 2022 |
This data set is a digital soil survey and generally is the most
detailed level of soil geographic data developed by the National
Cooperative Soil Survey. The information was prepared by digitizing
maps, by compiling information onto a planimetric correct base
and digitizing, or by revising digitized maps using remotely
sensed and other information.
This data set consists of georeferenced digital map data and
computerized attribute data. The map data are in a soil survey area
extent format and include a detailed, field verified inventory
of soils and miscellaneous areas that normally occur in a repeatable
pattern on the landscape and that can be cartographically shown at
the scale mapped. A special soil features layer (point and line
features) is optional. This layer displays the location of features
too small to delineate at the mapping scale, but they are large
enough and contrasting enough to significantly influence use and
management. The soil map units are linked to attributes in the
National Soil Information System relational database, which gives
the proportionate extent of the component soils and their properties.
Metadata
|
Download
|
Preview
|
KMZ
|
GeoJSON
|
Add to ArcMap:
Image
or
Feature
|
Add to ArcGIS Pro
| More Options...
| U S Department of Agriculture |
| 2022 |
This data set is a digital soil survey and generally is the most
detailed level of soil geographic data developed by the National
Cooperative Soil Survey. The information was prepared by digitizing
maps, by compiling information onto a planimetric correct base
and digitizing, or by revising digitized maps using remotely
sensed and other information.
This data set consists of georeferenced digital map data and
computerized attribute data. The map data are in a soil survey area
extent format and include a detailed, field verified inventory
of soils and nonsoil areas that normally occur in a repeatable
pattern on the landscape and that can be cartographically shown at
the scale mapped. A special soil features layer (point and line
features) is optional. This layer displays the location of features
too small to delineate at the mapping scale, but they are large
enough and contrasting enough to significantly influence use and
management. The soil map units are linked to attributes in the
National Soil Information System relational database, which gives
the proportionate extent of the component soils and their properties.
Metadata
|
Download
|
Preview
|
KMZ
|
GeoJSON
|
Add to ArcMap:
Image
or
Feature
|
Add to ArcGIS Pro
| More Options...
| U S Department of Agriculture |
| 2022 |
This data set is a digital soil survey and generally is the most
detailed level of soil geographic data developed by the National
Cooperative Soil Survey. The information was prepared by digitizing
maps, by compiling information onto a planimetric correct base
and digitizing, or by revising digitized maps using remotely
sensed and other information.
This data set consists of georeferenced digital map data and
computerized attribute data. The map data are in a soil survey area
extent format and include a detailed, field verified inventory
of soils and miscellaneous areas that normally occur in a repeatable
pattern on the landscape and that can be cartographically shown at
the scale mapped. A special soil features layer (point and line
features) is optional. This layer displays the location of features
too small to delineate at the mapping scale, but they are large
enough and contrasting enough to significantly influence use and
management. The soil map units are linked to attributes in the
National Soil Information System relational database, which gives
the proportionate extent of the component soils and their properties.
Metadata
|
Download
|
Preview
|
KMZ
|
GeoJSON
|
Add to ArcMap:
Image
or
Feature
|
Add to ArcGIS Pro
| More Options...
| U S Department of Agriculture |
| 2022 |
This data set is a digital soil survey and generally is the most
detailed level of soil geographic data developed by the National
Cooperative Soil Survey. The information was prepared by digitizing
maps, by compiling information onto a planimetric correct base
and digitizing, or by revising digitized maps using remotely
sensed and other information.
Metadata
|
Download
|
Preview
|
KMZ
|
GeoJSON
|
Add to ArcMap:
Image
or
Feature
|
Add to ArcGIS Pro
| More Options...
| U S Department of Agriculture |
| 2022 |
This data set is a digital soil survey and generally is the most
detailed level of soil geographic data developed by the National
Cooperative Soil Survey. The information was prepared by digitizing
maps, by compiling information onto a planimetric correct base
and digitizing, or by revising digitized maps using remotely
sensed and other information.
This data set consists of georeferenced digital map data and
computerized attribute data. The map data are in a soil survey area
extent format and include a detailed, field verified inventory
of soils and nonsoil areas that normally occur in a repeatable
pattern on the landscape and that can be cartographically shown at
the scale mapped. A special soil features layer (point and line
features) is optional. This layer displays the location of features
too small to delineate at the mapping scale, but they are large
enough and contrasting enough to significantly influence use and
management. The soil map units are linked to attributes in the
National Soil Information System relational database, which gives
the proportionate extent of the component soils and their properties.
Metadata
|
Download
|
Preview
|
KMZ
|
GeoJSON
|
Add to ArcMap:
Image
or
Feature
|
Add to ArcGIS Pro
| More Options...
| U S Department of Agriculture |
| 2022 |
This data set is a digital soil survey and generally is the most
detailed level of soil geographic data developed by the National
Cooperative Soil Survey. The information was prepared by digitizing
maps, by compiling information onto a planimetric correct base
and digitizing, or by revising digitized maps using remotely
sensed and other information.
Metadata
|
Download
|
Preview
|
KMZ
|
GeoJSON
|
Add to ArcMap:
Image
or
Feature
|
Add to ArcGIS Pro
| More Options...
| U S Department of Agriculture |
| 2022 |
This data set is a digital soil survey and generally is the most
detailed level of soil geographic data developed by the National
Cooperative Soil Survey. The information was prepared by digitizing
maps, by compiling information onto a planimetric correct base
and digitizing, or by revising digitized maps using remotely
sensed and other information.
Metadata
|
Download
|
Preview
|
KMZ
|
GeoJSON
|
Add to ArcMap:
Image
or
Feature
|
Add to ArcGIS Pro
| More Options...
| U S Department of Agriculture |
| 2022 |
This data set is a digital soil survey and generally is the most
detailed level of soil geographic data developed by the National
Cooperative Soil Survey. The information was prepared by digitizing
maps, by compiling information onto a planimetric correct base
and digitizing, or by revising digitized maps using remotely
sensed and other information.
This data set consists of georeferenced digital map data and
computerized attribute data. The map data are in a soil survey area
extent format and include a detailed, field verified inventory
of soils and miscellaneous areas that normally occur in a repeatable
pattern on the landscape and that can be cartographically shown at
the scale mapped. A special soil features layer (point and line
features) is optional. This layer displays the location of features
too small to delineate at the mapping scale, but they are large
enough and contrasting enough to significantly influence use and
management. The soil map units are linked to attributes in the
National Soil Information System relational database, which gives
the proportionate extent of the component soils and their properties.
Metadata
|
Download
|
Preview
|
KMZ
|
GeoJSON
|
Add to ArcMap:
Image
or
Feature
|
Add to ArcGIS Pro
| More Options...
| U S Department of Agriculture |
| 2022 |
This data set is a digital soil survey and generally is the most
detailed level of soil geographic data developed by the National
Cooperative Soil Survey. The information was prepared by digitizing
maps, by compiling information onto a planimetric correct base
and digitizing, or by revising digitized maps using remotely
sensed and other information.
Metadata
|
Download
|
Preview
|
KMZ
|
GeoJSON
|
Add to ArcMap:
Image
or
Feature
|
Add to ArcGIS Pro
| More Options...
| U S Department of Agriculture |
| 2022 |
This data set is a digital soil survey and generally is the most
detailed level of soil geographic data developed by the National
Cooperative Soil Survey. The information was prepared by digitizing
maps, by compiling information onto a planimetric correct base
and digitizing, or by revising digitized maps using remotely
sensed and other information.
This data set consists of georeferenced digital map data and
computerized attribute data. The map data are in a soil survey area
extent format and include a detailed, field verified inventory
of soils and nonsoil areas that normally occur in a repeatable
pattern on the landscape and that can be cartographically shown at
the scale mapped. A special soil features layer (point and line
features) is optional. This layer displays the location of features
too small to delineate at the mapping scale, but they are large
enough and contrasting enough to significantly influence use and
management. The soil map units are linked to attributes in the
National Soil Information System relational database, which gives
the proportionate extent of the component soils and their properties.
Metadata
|
Download
|
Preview
|
KMZ
|
GeoJSON
|
Add to ArcMap:
Image
or
Feature
|
Add to ArcGIS Pro
| More Options...
| U S Department of Agriculture |
| 2022 |
This data set is a digital soil survey and generally is the most
detailed level of soil geographic data developed by the National
Cooperative Soil Survey. The information was prepared by digitizing
maps, by compiling information onto a planimetric correct base
and digitizing, or by revising digitized maps using remotely
sensed and other information.
Metadata
|
Download
|
Preview
|
KMZ
|
GeoJSON
|
Add to ArcMap:
Image
or
Feature
|
Add to ArcGIS Pro
| More Options...
| U S Department of Agriculture |
| 2022 |
This data set is a digital soil survey and generally is the most
detailed level of soil geographic data developed by the National
Cooperative Soil Survey. The information was prepared by digitizing
maps, by compiling information onto a planimetric correct base
and digitizing, or by revising digitized maps using remotely
sensed and other information.
Metadata
|
Download
|
Preview
|
KMZ
|
GeoJSON
|
Add to ArcMap:
Image
or
Feature
|
Add to ArcGIS Pro
| More Options...
| U S Department of Agriculture |
| 2022 |
This data set is a digital soil survey and generally is the most
detailed level of soil geographic data developed by the National
Cooperative Soil Survey. The information was prepared by digitizing
maps, by compiling information onto a planimetric correct base
and digitizing, or by revising digitized maps using remotely
sensed and other information.
Metadata
|
Download
|
Preview
|
KMZ
|
GeoJSON
|
Add to ArcMap:
Image
or
Feature
|
Add to ArcGIS Pro
| More Options...
| U S Department of Agriculture |
| 2022 |
This data set is a digital soil survey and generally is the most
detailed level of soil geographic data developed by the National
Cooperative Soil Survey. The information was prepared by digitizing
maps, by compiling information onto a planimetric correct base
and digitizing, or by revising digitized maps using remotely
sensed and other information.
Metadata
|
Download
|
Preview
|
KMZ
|
GeoJSON
|
Add to ArcMap:
Image
or
Feature
|
Add to ArcGIS Pro
| More Options...
| U S Department of Agriculture |
| 2022 |
This data set is a digital soil survey and generally is the most
detailed level of soil geographic data developed by the National
Cooperative Soil Survey. The information was prepared by digitizing
maps, by compiling information onto a planimetric correct base
and digitizing, or by revising digitized maps using remotely
sensed and other information.
Metadata
|
Download
|
Preview
|
KMZ
|
GeoJSON
|
Add to ArcMap:
Image
or
Feature
|
Add to ArcGIS Pro
| More Options...
| U S Department of Agriculture |
| 2022 |
This data set is a digital soil survey and generally is the most
detailed level of soil geographic data developed by the National
Cooperative Soil Survey. The information was prepared by digitizing
maps, by compiling information onto a planimetric correct base
and digitizing, or by revising digitized maps using remotely
sensed and other information.
Metadata
|
Download
|
Preview
|
KMZ
|
GeoJSON
|
Add to ArcMap:
Image
or
Feature
|
Add to ArcGIS Pro
| More Options...
| U S Department of Agriculture |
| 2022 |
This data set is a digital soil survey and generally is the most
detailed level of soil geographic data developed by the National
Cooperative Soil Survey. The information was prepared by digitizing
maps, by compiling information onto a planimetric correct base
and digitizing, or by revising digitized maps using remotely
sensed and other information.
Metadata
|
Download
|
Preview
|
KMZ
|
GeoJSON
|
Add to ArcMap:
Image
or
Feature
|
Add to ArcGIS Pro
| More Options...
| U S Department of Agriculture |
| 2022 |
This data set is a digital soil survey and generally is the most
detailed level of soil geographic data developed by the National
Cooperative Soil Survey. The information was prepared by digitizing
maps, by compiling information onto a planimetric correct base
and digitizing, or by revising digitized maps using remotely
sensed and other information.
Metadata
|
Download
|
Preview
|
KMZ
|
GeoJSON
|
Add to ArcMap:
Image
or
Feature
|
Add to ArcGIS Pro
| More Options...
| U S Department of Agriculture |
| 2022 |
This data set is a digital soil survey and generally is the most
detailed level of soil geographic data developed by the National
Cooperative Soil Survey. The information was prepared by digitizing
maps, by compiling information onto a planimetric correct base
and digitizing, or by revising digitized maps using remotely
sensed and other information.
Metadata
|
Download
|
Preview
|
KMZ
|
GeoJSON
|
Add to ArcMap:
Image
or
Feature
|
Add to ArcGIS Pro
| More Options...
| U S Department of Agriculture |
| 2022 |
This data set is a digital soil survey and generally is the most
detailed level of soil geographic data developed by the National
Cooperative Soil Survey. The information was prepared by digitizing
maps, by compiling information onto a planimetric correct base
and digitizing, or by revising digitized maps using remotely
sensed and other information. This data set is a digital soil survey and generally is the most
detailed level of soil geographic data developed by the National
Cooperative Soil Survey. The information was prepared by digitizing
maps, by compiling information onto a planimetric correct base
and digitizing, or by revising digitized maps using remotely
sensed and other information.
Metadata
|
Download
|
Preview
|
KMZ
|
GeoJSON
|
Add to ArcMap:
Image
or
Feature
|
Add to ArcGIS Pro
| More Options...
| U S Department of Agriculture |
| 2022 |
This data set is a digital soil survey and generally is the most
detailed level of soil geographic data developed by the National
Cooperative Soil Survey. The information was prepared by digitizing
maps, by compiling information onto a planimetric correct base
and digitizing, or by revising digitized maps using remotely
sensed and other information.
Metadata
|
Download
|
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|
KMZ
|
GeoJSON
|
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| U S Department of Agriculture |
| 2010 |
Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 52 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 104 regions whereas the conterminous United States has 84 (U.S. Environmental Protection Agency, 2005). Level IV ecoregions are further subdivisions of Level III ecoregions. Methods used to define the ecoregions are explained in Omernik (1995, 2004), Omernik and others (2000), and Gallant and others (1989).
Metadata
|
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KMZ
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Spreadsheet
|
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| U S Environmental Protection Agency |
| 2010 |
Ecoregions by state were extracted from the seamless national shapefile. Ecoregions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including geology, physiography, vegetation, climate, soils, land use, wildlife, and hydrology. The relative importance of each characteristic varies from one ecological region to another. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America into 15 ecological regions. Level II divides the continent into 52 regions (Commission for Environmental Cooperation Working Group, 1997). At Level III, the continental United States contains 104 regions whereas the conterminous United States has 84 (U.S. Environmental Protection Agency, 2005). Level IV ecoregions are further subdivisions of Level III ecoregions. Methods used to define the ecoregions are explained in Omernik (1995, 2004), Omernik and others (2000), and Gallant and others (1989).
Metadata
|
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KMZ
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Spreadsheet
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| U S Environmental Protection Agency |
| 2003 |
This map layer shows Omernik's Level III ecoregions, derived from a
1:7,500,000 map created by J.M. Omernik in 1987 and from refinements of
Omernik's framework that were made for other projects. Ecoregions
describe areas of general similarity in ecosystems and in the type,
quality, and quantity of environmental resources. Omernik's ecoregions
are based on the premise that a hierarchy of ecological regions can be
identified through the analysis of the patterns and the composition of
both living and nonliving phenomena, such as geology, physiography,
vegetation, climate, soils, land use, wildlife, and hydrology, that affect
or reflect differences in ecosystem quality and integrity. All the
characteristics are considered when determining ecoregions, but the
relative importance of each characteristic may vary from one ecoregion to
another. Level III is the most detailed level available nationally for
this system of ecoregions.
Metadata
|
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KMZ
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Spreadsheet
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| U S Environmental Protection Agency |
| 2021 |
The purpose of this map is to assist national, state and local organizations to target their resources and to implement radon-resistant building codes.
The Map of Radon Zones was developed in 1993 to identify areas of the U.S. with the potential for elevated indoor radon levels. The map is intended to help governments and other organizations target risk reduction activities and resources. The Map of Radon Zones should not be used to determine if individual homes need to be tested. No matter where you live, test your home for radon—it’s easy and inexpensive. Fix your home if your radon level is 4 picocuries per liter (pCi/L) or higher. Consider fixing if your level is between 2 and 4 pCi/L.
The Map of Radon Zones was developed using data on indoor radon measurements, geology, aerial radioactivity, soil parameters, and foundation types. EPA recommends that this map be supplemented with any available local data in order to further understand and predict the radon potential for a specific area.
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| U S Environmental Protection Agency |
| 2005 |
NWI digital data files are records of wetlands location and
classification as developed by the U.S. Fish & Wildlife Service.
The classification system was adopted as a national
classification standard in 1996 by the Federal Geographic Data
Committee. This dataset is one of a series available in 7.5
minute by 7.5 minute blocks containing ground planimetric
coordinates of wetlands point, line, and polygon features and
wetlands attributes. When completed, the series will provide
coverage for all of the contiguous United States, Hawaii,
Alaska, and U.S. protectorates in the Pacific and Caribbean.
Coverage includes both digital data and hardcopy maps. The NWI
maps do not show all wetlands since the maps are derived from
aerial photointerpretation with varying limitations due to
scale, photo quality, inventory techniques, and other factors.
Consequently, the maps tend to show wetlands that are readily
photointerpreted given consideration of photo and map scale. In
general, the older NWI maps prepared from 1970s-era black and
white photography (1:80,000 scale) tend to be very conservative,
with many forested and drier-end emergent wetlands (e.g., wet
meadows) not mapped. Maps derived from color infrared
photography tend to yield more accurate results except when this
photography was captured during a dry year, making wetland
identification equally difficult. Proper use of NWI maps
therefore requires knowledge of the inherent limitations of this
mapping. It is suggested that users also consult other
information to aid in wetland detection, such as U.S. Department
of Agriculture soil survey reports and other wetland maps that
may have been produced by state and local governments, and not
rely solely on NWI maps. See section on "Completeness Report"
for more information. Also see an article in the National
Wetlands Newsletter (March-April 1997; Vol. 19/2, pp. 5-12)
entitled "NWI Maps: What They Tell Us" (a free copy of this
article can be ordered from U.S. Fish and Wildlife Service,
ES-NWI, 300 Westgate Center Drive, Hadley, MA 01035, telephone,
413-253-8620).
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| U S Fish and Wildlife Service |
| 2005 |
NWI digital data files are records of wetlands location and
classification as developed by the U.S. Fish & Wildlife Service.
The classification system was adopted as a national
classification standard in 1996 by the Federal Geographic Data
Committee. This dataset is one of a series available in 7.5
minute by 7.5 minute blocks containing ground planimetric
coordinates of wetlands point, line, and polygon features and
wetlands attributes. When completed, the series will provide
coverage for all of the contiguous United States, Hawaii,
Alaska, and U.S. protectorates in the Pacific and Caribbean.
Coverage includes both digital data and hardcopy maps. The NWI
maps do not show all wetlands since the maps are derived from
aerial photointerpretation with varying limitations due to
scale, photo quality, inventory techniques, and other factors.
Consequently, the maps tend to show wetlands that are readily
photointerpreted given consideration of photo and map scale. In
general, the older NWI maps prepared from 1970s-era black and
white photography (1:80,000 scale) tend to be very conservative,
with many forested and drier-end emergent wetlands (e.g., wet
meadows) not mapped. Maps derived from color infrared
photography tend to yield more accurate results except when this
photography was captured during a dry year, making wetland
identification equally difficult. Proper use of NWI maps
therefore requires knowledge of the inherent limitations of this
mapping. It is suggested that users also consult other
information to aid in wetland detection, such as U.S. Department
of Agriculture soil survey reports and other wetland maps that
may have been produced by state and local governments, and not
rely solely on NWI maps. See section on ""Completeness Report""
for more information. Also see an article in the National
Wetlands Newsletter (March-April 1997; Vol. 19/2, pp. 5-12)
entitled "NWI Maps: What They Tell Us" (a free copy of this
article can be ordered from U.S. Fish and Wildlife Service,
ES-NWI, 300 Westgate Center Drive, Hadley, MA 01035, telephone,
413-253-8620).
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| U S Fish and Wildlife Service |
| 2005 |
NWI digital data files are records of wetlands location and
classification as developed by the U.S. Fish & Wildlife Service.
The classification system was adopted as a national
classification standard in 1996 by the Federal Geographic Data
Committee. This dataset is one of a series available in 7.5
minute by 7.5 minute blocks containing ground planimetric
coordinates of wetlands point, line, and polygon features and
wetlands attributes. When completed, the series will provide
coverage for all of the contiguous United States, Hawaii,
Alaska, and U.S. protectorates in the Pacific and Caribbean.
Coverage includes both digital data and hardcopy maps. The NWI
maps do not show all wetlands since the maps are derived from
aerial photointerpretation with varying limitations due to
scale, photo quality, inventory techniques, and other factors.
Consequently, the maps tend to show wetlands that are readily
photointerpreted given consideration of photo and map scale. In
general, the older NWI maps prepared from 1970s-era black and
white photography (1:80,000 scale) tend to be very conservative,
with many forested and drier-end emergent wetlands (e.g., wet
meadows) not mapped. Maps derived from color infrared
photography tend to yield more accurate results except when this
photography was captured during a dry year, making wetland
identification equally difficult. Proper use of NWI maps
therefore requires knowledge of the inherent limitations of this
mapping. It is suggested that users also consult other
information to aid in wetland detection, such as U.S. Department
of Agriculture soil survey reports and other wetland maps that
may have been produced by state and local governments, and not
rely solely on NWI maps. See section on "Completeness Report"
for more information. Also see an article in the National
Wetlands Newsletter (March-April 1997; Vol. 19/2, pp. 5-12)
entitled "NWI Maps: What They Tell Us" (a free copy of this
article can be ordered from U.S. Fish and Wildlife Service,
ES-NWI, 300 Westgate Center Drive, Hadley, MA 01035, telephone,
413-253-8620).
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| U S Fish and Wildlife Service |
| 2014 |
High resolution land cover dataset for the Delaware River Basin, an area comprised of parts of six counties in the state of New York and four counties in Pennsylvania. Seven land cover classes were mapped: (1) tree canopy, (2) grass/shrub, (3) bare earth, (4) water, (5) buildings, (6) roads, and (7) other paved surfaces. The minimum mapping unit for the delineation of features was set at six square meters. The primary sources used to derive this land cover layer were 2008 LiDAR data and 2010 - 2011 NAIP imagery. LiDAR coverage was complete for the Pennsylvaia portion of the AOI, however, LiDAR was unavailable for large portions of the New York portion. Where LiDAR was not available, imagery was the primary data source. Ancillary data sources included GIS data (eg. such as hydrology, breakline and buildings) provided by the counties of Lackawana, Monroe, Pike and Wayne, PA, as well as the New York State GIS Clearinghouse. Some of these vector datasets were edited by the UVM Spatial Analysis lab through manual interpretation. Other datasets, such as bare soil, were created by the UVM Spatial Anyslsis Lab in order to assist in landcover creation. This land cover dataset is considered current for Pennsylvania portion of the study area as of summer 2010. The dataset is current as of summer 2011 for the New York counties of Chenango, Delaware, Orange and Sullivan. Broome County, NY, is considered current as of summer 2010. Ulster County, NY, employed data from both summer 2010 and summer 2011, therefore currentness varies throughout the county. Object-based image analysis techniques (OBIA) were employed to extract land cover information using the best available remotely sensed and vector GIS datasets. OBIA systems work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account boundaries imposed by existing vector datasets. Within the OBIA environment a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, location, size, and shape) into the classification process. A series of morphological procedures were employed to insure that the end product is both accurate and cartographically pleasing. No accuracy assessment was conducted, but the dataset was subject to a thorough manual quality control.
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| University of Vermont Spatial Analysis Laboratory |
| 2014 |
High resolution land cover dataset for the Delaware River Basin, an area comprised of parts of six counties in the state of New York and four counties in Pennsylvania. Seven land cover classes were mapped: (1) tree canopy, (2) grass/shrub, (3) bare earth, (4) water, (5) buildings, (6) roads, and (7) other paved surfaces. The minimum mapping unit for the delineation of features was set at six square meters. The primary sources used to derive this land cover layer were 2008 LiDAR data and 2010 - 2011 NAIP imagery. LiDAR coverage was complete for the Pennsylvaia portion of the AOI, however, LiDAR was unavailable for large portions of the New York portion. Where LiDAR was not available, imagery was the primary data source. Ancillary data sources included GIS data (eg. such as hydrology, breakline and buildings) provided by the counties of Lackawana, Monroe, Pike and Wayne, PA, as well as the New York State GIS Clearinghouse. Some of these vector datasets were edited by the UVM Spatial Analysis lab through manual interpretation. Other datasets, such as bare soil, were created by the UVM Spatial Anyslsis Lab in order to assist in landcover creation. This land cover dataset is considered current for Pennsylvania portion of the study area as of summer 2010. The dataset is current as of summer 2011 for the New York counties of Chenango, Delaware, Orange and Sullivan. Broome County, NY, is considered current as of summer 2010. Ulster County, NY, employed data from both summer 2010 and summer 2011, therefore currentness varies throughout the county. Object-based image analysis techniques (OBIA) were employed to extract land cover information using the best available remotely sensed and vector GIS datasets. OBIA systems work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account boundaries imposed by existing vector datasets. Within the OBIA environment a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, location, size, and shape) into the classification process. A series of morphological procedures were employed to insure that the end product is both accurate and cartographically pleasing. No accuracy assessment was conducted, but the dataset was subject to a thorough manual quality control.
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| University of Vermont Spatial Analysis Laboratory |
| 2016 |
Clipped to Counties - Mapping Area polygon - High resolution land cover dataset for the Delaware River Basin, an area comprised of parts of six counties in the state of New York and four counties in Pennsylvania. Seven land cover classes were mapped: (1) tree canopy, (2) grass/shrub, (3) bare earth, (4) water, (5) buildings, (6) roads, and (7) other paved surfaces. The minimum mapping unit for the delineation of features was set at six square meters. The primary sources used to derive this land cover layer were 2008 LiDAR data and 2010 - 2011 NAIP imagery. LiDAR coverage was complete for the Pennsylvaia portion of the AOI, however, LiDAR was unavailable for large portions of the New York portion. Where LiDAR was not available, imagery was the primary data source. Ancillary data sources included GIS data (eg. such as hydrology, breakline and buildings) provided by the counties of Lackawana, Monroe, Pike and Wayne, PA, as well as the New York State GIS Clearinghouse. Some of these vector datasets were edited by the UVM Spatial Analysis lab through manual interpretation. Other datasets, such as bare soil, were created by the UVM Spatial Anyslsis Lab in order to assist in landcover creation. This land cover dataset is considered current for Pennsylvania portion of the study area as of summer 2010. The dataset is current as of summer 2011 for the New York counties of Chenango, Delaware, Orange and Sullivan. Broome County, NY, is considered current as of summer 2010. Ulster County, NY, employed data from both summer 2010 and summer 2011, therefore currentness varies throughout the county. Object-based image analysis techniques (OBIA) were employed to extract land cover information using the best available remotely sensed and vector GIS datasets. OBIA systems work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account boundaries imposed by existing vector datasets. Within the OBIA environment a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, location, size, and shape) into the classification process. A series of morphological procedures were employed to insure that the end product is both accurate and cartographically pleasing. No accuracy assessment was conducted, but the dataset was subject to a thorough manual quality control.
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| University of Vermont Spatial Analysis Laboratory |
| 2010 |
High resolution land cover dataset for the Delaware River Basin, an area comprised of parts of six counties in the state of New York and four counties in Pennsylvania. Seven land cover classes were mapped: (1) tree canopy, (2) grass/shrub, (3) bare earth, (4) water, (5) buildings, (6) roads, and (7) other paved surfaces. The minimum mapping unit for the delineation of features was set at six square meters. The primary sources used to derive this land cover layer were 2008 LiDAR data and 2010 - 2011 NAIP imagery. LiDAR coverage was complete for the Pennsylvaia portion of the AOI, however, LiDAR was unavailable for large portions of the New York portion. Where LiDAR was not available, imagery was the primary data source. Ancillary data sources included GIS data (eg. such as hydrology, breakline and buildings) provided by the counties of Lackawana, Monroe, Pike and Wayne, PA, as well as the New York State GIS Clearinghouse. Some of these vector datasets were edited by the UVM Spatial Analysis lab through manual interpretation. Other datasets, such as bare soil, were created by the UVM Spatial Anyslsis Lab in order to assist in landcover creation. This land cover dataset is considered current for Pennsylvania portion of the study area as of summer 2010. The dataset is current as of summer 2011 for the New York counties of Chenango, Delaware, Orange and Sullivan. Broome County, NY, is considered current as of summer 2010. Ulster County, NY, employed data from both summer 2010 and summer 2011, therefore currentness varies throughout the county. Object-based image analysis techniques (OBIA) were employed to extract land cover information using the best available remotely sensed and vector GIS datasets. OBIA systems work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account boundaries imposed by existing vector datasets. Within the OBIA environment a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, location, size, and shape) into the classification process. A series of morphological procedures were employed to insure that the end product is both accurate and cartographically pleasing. No accuracy assessment was conducted, but the dataset was subject to a thorough manual quality control.
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| University of Vermont Spatial Analysis Laboratory |
| 2014 |
This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The information was prepared by digitizing maps, by compiling information onto a planimetric correct base and digitizing, or by revising digitized maps using remotely sensed and other information. This data set consists of georeferenced digital map data and computerized attribute data. The map data are in a soil survey area extent format and include a detailed, field verified inventory of soils and miscellaneous areas that normally occur in a repeatable pattern on the landscape and that can be cartographically shown at the scale mapped. A special soil features layer (point and line features) is optional. This layer displays the location of features too small to delineate at the mapping scale, but they are large enough and contrasting enough to significantly influence use and management. The soil map units are linked to attributes in the National Soil Information System relational database, which gives the proportionate extent of the component soils and their properties.
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| York County |