Urban Ecosystem Analysis Ikonos interpreted land cover for the Cobbs/Mill Creek and Tacony/Frankford Creek watersheds, 2002


Identification_Information:
Citation:
Citation_Information:
Originator:American Forests
Publication_Date:200303
Title:
Urban Ecosystem Analysis Ikonos interpreted land cover for the Cobbs/Mill Creek and Tacony/Frankford Creek watersheds, 2002
Title:
philly02cls.img
Geospatial_Data_Presentation_Form:remote-sensing image
Online_Linkage: https://www.pasda.psu.edu/data/amerforest
Description:
Abstract:
AMERICAN FORESTS conducted an urban ecosystem analysis of the Delaware Valley region to provide community leaders with detailed information about the region's tree cover and its environmental and economic impacts. The analysis documents what landscape changes have occurred over time and how these changes have impacted the environmental services the urban forest provides to the region. The study used Geographic Information Systems (GIS) technology to connect image analysis of the area to ecological assessment of tree cover change trends over the last 15 years. In addition, AMERICAN FORESTS created a "green data layer" -a digital tool that local communities can use to integrate urban forest ecology into their future planning. 

Frankford Tacony, Mill Creek and Cobbs Creek in Pennsylvania and the Big Timber in New Jersey were selected for analysis and to create a detailed (4-meter resolution) digital landcover.  The detailed analysis used a high-resolution satellite image as the basis for creating a "green data layer" or classified land cover image.  This digital mapping tool enables planners to integrate green infrastructure into their future planning.
Purpose:
Adding a green data layer to the decision making process introduces a new dimension to planning and development, one that considers the dollar benefits of trees and associated natural resources. Planning with green infrastructure provides a way to take advantage of the natural cycles of air and water, instead of solely building costly "gray" infrastructure to manage these systems.
Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date:2002
Currentness_Reference:
ground condition
Status:
Progress:Complete
Maintenance_and_Update_Frequency:As needed
Spatial_Domain:
Bounding_Coordinates:
West_Bounding_Coordinate:-75.360110
East_Bounding_Coordinate:-74.874411
North_Bounding_Coordinate:40.131134
South_Bounding_Coordinate:39.709530
Keywords:
Theme:
Theme_Keyword_Thesaurus:ISO 19115 Topic Categories
Theme_Keyword:Trees
Theme_Keyword:Landcover
Theme_Keyword:Forests
Theme_Keyword:imageryBaseMapsEarthCover
Place:
Place_Keyword_Thesaurus:none
Place_Keyword:Frankford Tacony Creek
Place_Keyword:Cobbs Creek
Place_Keyword:Big Timber Creek
Place_Keyword:Mill Creek
Access_Constraints:None
Use_Constraints:
None
Point_of_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization:American Forests
Contact_Person:Ken Gorton
Contact_Position:GIS Analyst
Contact_Address:
Address_Type:mailing address
Address:
PO Box 2000
City:Washington
State_or_Province:DC
Postal_Code:20013
Contact_Voice_Telephone:202-955-4500
Contact_Facsimile_Telephone:202-955-4588
Contact_Electronic_Mail_Address:kgorton@amfor.org
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Data_Quality_Information:
Attribute_Accuracy:
Attribute_Accuracy_Report:
Corresponds to accuracy of the source Ikonos imagery imagery.
Logical_Consistency_Report:
All imagery captured during single satellite pass.
Completeness_Report:
Complete for study region which includes the Frankford Tacony, Cobbs, Big Timber, and Mill Creek watershed areas.  Areas interspersed are encoded as "unclassified" with a color value of 0.
Positional_Accuracy:
Horizontal_Positional_Accuracy:
Horizontal_Positional_Accuracy_Report:
Spatial Accuracy corresponds to the accuracy of the source LANDSAT imagery. The average positional error is 30 meters.
Lineage:
Source_Information:
Source_Citation:
Citation_Information:
Originator:Space Imaging
Publication_Date:2002
Title:
Ikonos Multispectral imagery, 4-meter resolution
Geospatial_Data_Presentation_Form:remote-sensing image
Publication_Information:
Publication_Place:Sioux Falls, SD
Publisher:Thornton, CO
Source_Scale_Denominator:25000
Type_of_Source_Media:online
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date:2002
Source_Currentness_Reference:
ground condition
Source_Citation_Abbreviation:
IKONOS
Source_Contribution:
Original imagery used in reclassification
Process_Step:
Process_Description:
4-meter multispectral imagery was reclassified into 6 categories using using a full pixel technique.
Source_Used_Citation_Abbreviation:
Landsat
Process_Date:2002
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Spatial_Data_Organization_Information:
Direct_Spatial_Reference_Method:Raster
Raster_Object_Information:
Raster_Object_Type:Pixel
Row_Count:11683
Column_Count:10345
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Spatial_Reference_Information:
Horizontal_Coordinate_System_Definition:
Planar:
Grid_Coordinate_System:
Grid_Coordinate_System_Name:Universal Transverse Mercator
Universal_Transverse_Mercator:
UTM_Zone_Number:18
Transverse_Mercator:
Scale_Factor_at_Central_Meridian:0.999600
Longitude_of_Central_Meridian:-75.000000
Latitude_of_Projection_Origin:0.000000
False_Easting:500000.000000
False_Northing:0.000000
Planar_Coordinate_Information:
Planar_Coordinate_Encoding_Method:row and column
Coordinate_Representation:
Abscissa_Resolution:4.000000
Ordinate_Resolution:4.000000
Planar_Distance_Units:meters
Geodetic_Model:
Horizontal_Datum_Name:D_WGS_1984
Ellipsoid_Name:WGS_1984
Semi-major_Axis:6378137.000000
Denominator_of_Flattening_Ratio:298.257224
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Entity_and_Attribute_Information:
Detailed_Description:
Entity_Type:
Entity_Type_Label:Layer_1
Attribute:
Attribute_Label:ObjectID
Attribute_Definition:
Internal feature number.
Attribute_Definition_Source:
ESRI
Attribute_Domain_Values:
Unrepresentable_Domain:
Sequential unique whole numbers that are automatically generated.
Attribute:
Attribute_Label:Value
Attribute_Definition:
Land cover classification code.
Attribute_Definition_Source:
American Forests
Attribute_Domain_Values:
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Metadata_Reference_Information:
Metadata_Date:20060124
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