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Building_Footprint_2022_Elev
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GCS_North_American_1983
Linear Unit: Meter (1.000000)
mstm
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ItemDescription
Esri ArcGIS 13.6.0.59527
Building_Footprint_2022_Elev
This dataset represents a comprehensive statewide inventory of Mississippi Building Footprints, integrated with LIDAR-derived Ground Elevation and Parcel Information.
The primary purpose is to provide an identification and spatial location of structures supporting certain analysis for the following:
• Emergency Management & Flood Mapping: Flood Risk Analysis, Disaster Damage Assessment, and Vulnerability Mapping.
• Urban Planning and Development: Land Use Analysis and Infrastructure Development.
• State and Local Agencies: High-Level Geospatial Analysis and Decision-Making Purpose.
<div style='text-align:Left;'><div><div><p><span><span>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.</span></span></p><p style='font-style:italic;'><span style='font-weight:bold;'><span>Key Components:</span></span></p><ul><li><p><span style='font-weight:bold;'><span>Geometry</span></span><span><span>: The dataset contains </span></span><span style='font-weight:bold;'><span>over 1.5 million structure</span></span><span><span> polygons representing various building footprints. 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 & 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>“</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.”</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>
Microsoft, BING, MARIS
Buildings
Footprint
Mississippi
Location
Planning Development
Cadastral
Society
Structure
Elevation
Parcels
MARIS
DEM
<div style='text-align:Left;'><div><div><p><span style='font-weight:bold;'><span>General Disclaimer:</span></span><span><span> This dataset is provided "as is" for planning, visualization, and decision-support purposes. While every effort has been made to ensure the accuracy of building geometries, LIDAR-derived elevations, and parcel attributes, makes no warranties, expressed or implied, regarding the data's fitness for any specific legal, engineering, or surveying use.</span></span></p><p><span style='font-weight:bold;'><span>Specific Constraints:</span></span></p><ul><li><p><span style='font-weight:bold;'><span>Not a Survey Product:</span></span><span><span> This data does not represent a professional land survey and should not be used for establishing legal property boundaries or precise vertical control.</span></span></p></li><li><p><span style='font-weight:bold;'><span>Temporal Accuracy:</span></span><span><span> Building footprints and parcel attributes represent a "snapshot in time" based on the source imagery and tax records available at the time of publication. Recent construction or demolitions may not be reflected.</span></span></p></li><li><p><span style='font-weight:bold;'><span>Elevation Accuracy:</span></span><span><span> LIDAR-derived Z-values are estimates based on digital surface models and may be subject to interference from dense vegetation, atmospheric conditions, or complex roof structures.</span></span></p></li><li><p><span style='font-weight:bold;'><span>Scale Limitations:</span></span><span><span> This data is intended for use at regional or local scales. Use at the site-specific engineering scale (e.g., 1:1,200 or larger) should be verified with independent field observations.</span></span></p></li></ul><p><span style='font-weight:bold;'><span>Redistribution:</span></span><span><span> Users are requested to cite the </span></span><span style='font-weight:bold;'><span>Mississippi Automated Resource Information System (MARIS)</span></span><span><span> and Mississippi Digital Elevation Model (MDEM) when using this data in maps, reports, or publications.</span></span></p><p><span>This data is licensed by Microsoft under the </span><a href='https://opendatacommons.org/licenses/odbl/' style='text-decoration:underline;'><span>Open Data Commons Open Database License ODbL</span></a><span>)</span></p><p><span>The MIT License (MIT) Copyright (c) Microsoft Corporation</span></p><p><span>Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:</span></p><p><span>- The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.</span></p><p><span>THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.</span></p></div></div></div>
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Enterprise Geodatabase Feature Class
dataset
EPSG
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FALSE
Building_Footprint_2022_Elev
Feature Class
0
OBJECTID
OBJECTID
OID
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Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Shape
Shape
Geometry
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Feature geometry.
Esri
Coordinates defining the features.
Elevation_In_Feet
Elevation_In_Feet
Double
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Polygon_Area_Sq_Meter
Polygon_Area
Double
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Perimeter_Meter
Perimeter
Double
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County_Name
County_Name
String
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0
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Parcel_No
Parcel_No
String
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0
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Owner_Name
Owner_Name
String
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Site_Address
Site_Address
String
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Site_City
Site_City
String
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Site_State
Site_State
String
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Site_Zip
Site_Zip
String
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Shape.STArea()
Shape.STArea()
Double
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Shape.STLength()
Shape.STLength()
Double
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