Name: 2017 Impervious Surface

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Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 0 0;"><SPAN>The impervious surface data created by AIS for the 2017 Update was produced to the same level as the State’s previous datasets, per the project requirements. The 2017 Impervious Surface data layer was created using a combination of ArcGIS’ Image Classification and raster data editing toolsets. The State provided AIS with their 2017 state-wide, 4-band image (in SID format) which was clipped using the boundary of each production modules (45 in all). Each production module image was resampled to a resolution of one meter; then Arcmap’s Segment Mean Shift function was using to produce a segmented image. A training set was created for each production module segmented image and Arcmap’s Maximum Likelihood Classification tool was used to produce a classified image with three pixel values ( 1 = Impervious Surface, 2 = Pervious, and 3 = Shadow). Each classified image was further processed to add water pixels, derived from NHD waterbody polygons, and road pixels, based off of the State’s centerline data. Using Arcmap’s Reclass tool, each image had the Pervious class and Water class combined and the Impervious class and Road class combined. The shadow class processed by converting all shadow pixels to noData, then using the image processing tool Nibble, the noData values were converted to either Pervious or Impervious values. The classified images, now with two pixel values (value 3 was removed), were now ready for visual review and editing.</SPAN></P></DIV></DIV></DIV>

Copyright Text: Mapped by Aerial Information Systems, Inc. of Redlands, California for the Delaware Department of Transportation

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