{
 "culture": "en-US",
 "name": "DE_Impervious_2017",
 "guid": "",
 "catalogPath": "",
 "snippet": "Impervious Surface data layer for 2017 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.",
 "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\u2019s previous datasets, per the project requirements.    The 2017 Impervious Surface data layer was created using a combination of ArcGIS\u2019 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\u2019s Segment Mean Shift function was using to produce a segmented image.  A training set was created for each production module segmented image and Arcmap\u2019s 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\u2019s centerline data. Using Arcmap\u2019s 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>",
 "summary": "Impervious Surface data layer for 2017 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.",
 "title": "DE_Impervious_2017",
 "tags": [
  "United States of America (USA)",
  "Mid Atlantic",
  "Delaware (DE)",
  "Kent County",
  "New Castle County",
  "Sussex County",
  "Imagery",
  "BaseMaps",
  "EarthCover",
  "Impervious Surface",
  "LandUseLandCover",
  "Structure"
 ],
 "type": "Image Service",
 "typeKeywords": [
  "Data",
  "Service",
  "Image Service",
  "ArcGIS Server"
 ],
 "thumbnail": "",
 "url": "https://prt2epbfirstmap.dti.state.de.us:6443/arcgis",
 "minScale": 1155581.108577,
 "maxScale": 36111.909643,
 "spatialReference": "WGS_1984_Web_Mercator_Auxiliary_Sphere",
 "accessInformation": "Mapped by Aerial Information Systems, Inc. of Redlands, California for the Delaware Department of Transportation",
 "licenseInfo": "<DIV STYLE=\"text-align:Left;\"><DIV><DIV><P><SPAN>The State of Delaware makes no warranty or representation, expressed or implied, with respect to the quality, content, accuracy, completeness, currency, or non-infringement of proprietary rights, of any of the GIS or other data or information, or any other materials and items, that are displayed or made available for download from this site. All such data, information, items and materials (collectively, the \u201cFirstMap Data\u201d) are provided \"as is\" and users are fully and solely responsible for any consequences of use. FirstMap Data may have been created from a variety of sources, including sources beyond the control of the State of Delaware, and are subject to change without notice. To the extent you use, apply, add to, modify or implement this information in your own information system or other setting, or otherwise for your own purposes, you do so at your own risk. In no event shall the State of Delaware or its agencies, officers, employees, agents, or representatives be liable for any damages of any kind or nature whatsoever including, but not limited to, direct, indirect, special, punitive, incidental, exemplary or consequential damages arising from your downloading, modifying, sharing, distributing, or using of FirstMap Data even if notified of the possibility of such damages.  Further, the State of Delaware does not accept liability for any damages or misrepresentation caused by inaccuracies in the FirstMap Data or as a result of changes to the FirstMap Data, nor is there responsibility assumed to maintain the FirstMap Data in any manner or form.<\/SPAN><\/P><\/DIV><\/DIV><DIV><P><SPAN /><\/P><\/DIV><\/DIV>"
}