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After quality control, the dataset was reduced to <\/span><\/span><span style='font-weight:bold;'><span>1,502,581<\/span><\/span><span><span> structures by removing approximately 4,900 footprints located outside the state boundary and 15 polygons that were inaccurately positioned on roadways.<\/span><\/span><\/p><\/li><li><p style='font-style:italic;'><span style='font-weight:bold;'><span>Elevation Integration:<\/span><\/span><span><span> Each polygon has been attributed with Z-values derived from statewide LIDAR datasets. This includes calculated values such as Ground Elevation (at the base of the structure).<\/span><\/span><\/p><\/li><li><p style='font-style:italic;'><span style='font-weight:bold;'><span>Parcel Linkage:<\/span><\/span><span><span> <\/span><\/span><span><span>Footprints are spatially joined to the Statewide Cadastral Framework, providing a link between physical structures and county tax assessor records (Parcels).<\/span><\/span><\/p><\/li><li><p style='font-style:italic;'><span style='font-weight:bold;'><span>Coordinate System:<\/span><\/span><span><span> Projected in <\/span><\/span><span style='font-weight:bold;'><span>Mississippi State TM (MSTM)<\/span><\/span><span><span>.<\/span><\/span><\/p><\/li><\/ul><p><span style='font-weight:bold;'><span>Data Lineage &amp; Processing: <\/span><\/span><span><span>The original Microsoft footprints were extracted using automated computer vision techniques and subsequently underwent a series of workflows. Users should be aware that while the data is highly comprehensive, accuracy is dependent on the date of the source imagery and LIDAR Dataset. <\/span><\/span><\/p><p style='font-weight:bold;'><span><span>MS Building Footprint polygons - 2022 <\/span><\/span><\/p><p><span style='font-weight:bold;'><span>***** See source download and supplemental information for details on data creation by Microsoft. <\/span><\/span><\/p><p><a href='https://github.com/Microsoft/USBuildingFootprints' style='text-decoration:underline;'><span style='text-decoration:underline;'><span>https://github.com/Microsoft/USBuildingFootprints<\/span><\/span><\/a><\/p><p style='font-style:italic;'><span style='font-weight:bold;'><span>Microsoft's explanation<\/span><\/span><span style='font-weight:bold;'><span>: <\/span><\/span><span><span>\u201c<\/span><\/span><span><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 to properly deal with this problem.\u201d<\/span><\/span><span><span> <\/span><\/span><\/p><p style='font-weight:bold;'><span><span>LIDAR Data Source Year and Project Name:<\/span><\/span><\/p><ul><li><p style='font-style:italic;'><span><span>T2013_Lauderdale_Lidar<\/span><\/span><\/p><\/li><li><p style='font-style:italic;'><span><span>T2014_Central_Mississippi_Lidar<\/span><\/span><\/p><\/li><li><p style='font-style:italic;'><span><span>T2015_Coastal_Lidar___Contours<\/span><\/span><\/p><\/li><li><p style='font-style:italic;'><span><span>T2015_Southeast_Mississippi_Lidar_UTM15<\/span><\/span><\/p><\/li><li><p style='font-style:italic;'><span><span>T2015_Southeast_Mississippi_Lidar_UTM16<\/span><\/span><\/p><\/li><li><p style='font-style:italic;'><span><span>T2015_South_Central_Lidar_UTM15<\/span><\/span><\/p><\/li><li><p style='font-style:italic;'><span><span>T2015_South_Central_Lidar_UTM16<\/span><\/span><\/p><\/li><li><p style='font-style:italic;'><span><span>T2016_Southwest_Lidar<\/span><\/span><\/p><\/li><li><p style='font-style:italic;'><span><span>T2016_Camp_Shelby___Contours<\/span><\/span><\/p><\/li><li><p style='font-style:italic;'><span><span>T2016_Tishomingo_Lidar___Contours<\/span><\/span><\/p><\/li><li><p style='font-style:italic;'><span><span>T2018_Madison_Rankin_Lidar___Contours<\/span><\/span><\/p><\/li><li><p style='font-style:italic;'><span><span>T2018_Rankin_Simpson_Lidar___Contours<\/span><\/span><\/p><\/li><li><p style='font-style:italic;'><span><span>T2018_Tenn_Tom_Lidar___Contours<\/span><\/span><\/p><\/li><li><p style='font-style:italic;'><span><span>T2022_Delta_Lidar_UTM15<\/span><\/span><\/p><\/li><li><p style='font-style:italic;'><span><span>T2022_Delta_Lidar_UTM16<\/span><\/span><\/p><\/li><\/ul><\/div><\/div><\/div>",
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 "description": "This dataset provides a statewide collection of building footprint polygons for Mississippi. The core geometry was derived from BING Raster imagery by Microsoft. MARIS obtained the original dataset in JSON format and converted it to a WGS84 Geographic Coordinate System shapefile using MapShaper software. The dataset was subsequently reprojected into the NAD 1983 Mississippi Transverse Mercator (MSTM) coordinate system (Meters). The 2022 release contains approximately 1,507,496 building footprint polygons statewide.Key Components:Geometry: The dataset contains over 1.5 million structure polygons representing various building footprints. After quality control, the dataset was reduced to 1,502,581 structures by removing approximately 4,900 footprints located outside the state boundary and 15 polygons that were inaccurately positioned on roadways.Elevation Integration: Each polygon has been attributed with Z-values derived from statewide LIDAR datasets. This includes calculated values such as Ground Elevation (at the base of the structure).Parcel Linkage: Footprints are spatially joined to the Statewide Cadastral Framework, providing a link between physical structures and county tax assessor records (Parcels).Coordinate System: Projected in Mississippi State TM (MSTM).Data Lineage &amp; Processing: The original Microsoft footprints were extracted using automated computer vision techniques and subsequently underwent a series of workflows. Users should be aware that while the data is highly comprehensive, accuracy is dependent on the date of the source imagery and LIDAR Dataset. MS Building Footprint polygons - 2022 ***** See source download and supplemental information for details on data creation by Microsoft. https://github.com/Microsoft/USBuildingFootprintsMicrosoft's explanation: \u201cThe 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 to properly deal with this problem.\u201d LIDAR Data Source Year and Project Name:T2013_Lauderdale_LidarT2014_Central_Mississippi_LidarT2015_Coastal_Lidar___ContoursT2015_Southeast_Mississippi_Lidar_UTM15T2015_Southeast_Mississippi_Lidar_UTM16T2015_South_Central_Lidar_UTM15T2015_South_Central_Lidar_UTM16T2016_Southwest_LidarT2016_Camp_Shelby___ContoursT2016_Tishomingo_Lidar___ContoursT2018_Madison_Rankin_Lidar___ContoursT2018_Rankin_Simpson_Lidar___ContoursT2018_Tenn_Tom_Lidar___ContoursT2022_Delta_Lidar_UTM15T2022_Delta_Lidar_UTM16",
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