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Service Description: These layers were created using a combination of ArcGIS’ Image Classification and raster data editing toolsets. 2012 and 2017 were completed by AIS, 2007 was completed by Sanborn, 2022 was completed by University of Vermont in collaboration with Sanborn. In each case the State provided the vendor with the most current state-wide aerial imagery to develop the impervious surface. A variety of techniques were used for determining whether a pixel was impervious or pervious.
DE_Impervious
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Description: These layers were created using a combination of ArcGIS’ Image Classification and raster data editing toolsets. 2012 and 2017 were completed by AIS, 2007 was completed by Sanborn, 2022 was completed by University of Vermont in collaboration with Sanborn. In each case the State provided the vendor with the most current state-wide aerial imagery to develop the impervious surface. A variety of techniques were used for determining whether a pixel was impervious or pervious.
FirstMap, Aerial Information Systems, Inc. of Redlands, California (2012, 2017), Sanborn (2007), University of Vermont Spatial Analysis Lab (2022)
Spatial Reference:
102100
(3857)
Single Fused Map Cache: false
Initial Extent:
XMin: -8526064.765877986
YMin: 4643167.53248137
XMax: -8257633.164305246
YMax: 4843180.53248137
Spatial Reference: 102100
(3857)
Full Extent:
XMin: -8437420.96674437
YMin: 4643167.53248137
XMax: -8346276.96343886
YMax: 4843180.53248137
Spatial Reference: 102100
(3857)
Units: esriMeters
Supported Image Format Types: PNG32,PNG24,PNG,JPG,DIB,TIFF,EMF,PS,PDF,GIF,SVG,SVGZ,BMP
Document Info:
Title: Delaware Impervious Surface
Author:
Comments: <DIV STYLE="text-align:Left;font-size:12pt"><DIV><DIV><P STYLE="margin:0 0 0 0;"><SPAN>These layers were created using a combination of ArcGIS’ Image Classification and raster data editing toolsets. 2012 and 2017 were completed by AIS, 2007 was completed by Sanborn, 2022 was completed by University of Vermont in collaboration with Sanborn. In each case the State provided the vendor with the most current state-wide aerial imagery to develop the impervious surface. A variety of techniques were used for determining whether a pixel was impervious or pervious.</SPAN></P></DIV></DIV></DIV>
Subject: Impervious Surface data layer for 2007, 2012, 2017, and 2022 surface conditions. To identify impervious surfaces for the purpose of modeling such as stormwater, and atmospheric pollutant modeling. The dataset is suitable for many planning and modeling purposes.
Category:
Keywords: United States of America (USA),Mid Atlantic,Delaware (DE),Kent County,New Castle County,Sussex County,Imagery,BaseMaps,EarthCover,Impervious Surface,LandUseLandCover,Structure
AntialiasingMode: Fast
TextAntialiasingMode: Force
Supports Dynamic Layers: true
Resampling: false
MaxRecordCount: 2000
MaxImageHeight: 4096
MaxImageWidth: 4096
Supported Query Formats: JSON, geoJSON, PBF
Supports Query Data Elements: true
Min Scale: 0
Max Scale: 0
Supports Datum Transformation: true
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