{ "snippet": "Building footprint polygons of Mississippi structures. This data was generated from BING raster imagery by Microsoft. MARIS (in October 2022), downloaded and converted the Mississippi file from JSON format to a WGS84 shapefile using Mapshaper software. Next, MARIS projected the shapefile into MSTM projection. There are 1,507,496 polygons in this layer which is 36,312 more than the 2018 release. Date on update is April,2022. Most of the state is from the 2018 release. Updates were mostly made in Southwest MS and the Coast between 2018 and 2021. Some other buildings were added in metro areas.", "summary": "Building footprint polygons of Mississippi structures. This data was generated from BING raster imagery by Microsoft. MARIS (in October 2022), downloaded and converted the Mississippi file from JSON format to a WGS84 shapefile using Mapshaper software. Next, MARIS projected the shapefile into MSTM projection. There are 1,507,496 polygons in this layer which is 36,312 more than the 2018 release. Date on update is April,2022. Most of the state is from the 2018 release. Updates were mostly made in Southwest MS and the Coast between 2018 and 2021. Some other buildings were added in metro areas.", "extent": [ [ -91.7169707075094, 30.1926428053651 ], [ -88.0976827126201, 35.0097225852336 ] ], "accessInformation": "Microsoft, BING, MARIS", "thumbnail": "thumbnail/thumbnail.png", "maxScale": 1.7976931348623157E+308, "typeKeywords": [ "ArcGIS", "ArcGIS Server", "Data", "Feature Access", "Feature Service", "providerSDS", "Service" ], "description": "

MS building footprint polygons - 2022<\/SPAN><\/P>

***** See original source download and supplemental Information for details on data creation by Microsoft.<\/SPAN><\/SPAN><\/P>

https://github.com/Microsoft/USBuildingFootprints<\/SPAN><\/SPAN><\/A><\/P>

Microsoft explaination<\/SPAN>: <\/SPAN>\u201c<\/SPAN>The gap areas contain image tiles taken with different cameras, which is causing the creation of artificial edges between neighboring tiles. These confuse our detection network which hasn't learned to deal with them.We took a very conservative approach of skipping such tiles. I think we could add additional effort in order to properly deal with this problem.\u201d<\/SPAN><\/P>

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<\/P><\/DIV><\/DIV><\/DIV>", "licenseInfo": "

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This data is licensed by Microsoft under the <\/SPAN><\/SPAN>Open Data Commons Open Database License ODbL)<\/SPAN><\/A><\/P>

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The MIT License (MIT) Copyright (c) Microsoft Corporation<\/SPAN><\/SPAN><\/P><\/TD><\/TR>

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The above copyright notice and this permission notice shall be included in all copies or substantial <\/SPAN><\/SPAN><\/P><\/TD><\/TR>

portions of the Software.<\/SPAN><\/SPAN><\/P><\/TD><\/TR>

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<\/P><\/DIV><\/DIV><\/DIV>", "catalogPath": "", "title": "MS_BuildingFootprints_2022", "type": "Feature Service", "url": "", "tags": [ "buildings", "Mississippi" ], "culture": "en-US", "name": "MS_BuildingFootprints_2022", "guid": "F42ABCD3-C5A9-4C16-A972-433DF6AA8E6D", "minScale": 0, "spatialReference": "mstm" }