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PAG Orthophoto Feature Extraction and Classification created by Ecopia
Year Released: 2025 |
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PAG Orthophoto Feature Extraction and Classification created by Ecopia
Year Released: 2025 |
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Contact GIS Services: Pima Association of Governments 520-792-1093
Contract Consultant: Sean Lowery, Sr. Dir, Products and Business, Ecopia Tech Corporation Sean@ecopiatech.com, 437-533-2699 |
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<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN><SPAN>Landcover and active transportation amenities in eastern Pima County were extracted as polygons and classified via AI by Ecopia Tech Corp for Pima Association of Governments from PAG's November 2023 orthos at 15 cm resolution. The data covers a 1,400 square mile extent of urban Eastern Pima County, ie the greater Tucson metro area. Data was released in spring of 2025 after a QAQC process by subject matter experts in the region. Data includes 2D Vector wall-to-wall polygons representing land cover, 3D vector, and transportation-related linework. The data is intended for use to fill in data gaps in local infrastructure inventories and thereafter, a gap assessment in infrastructure. Geometries include but are not limited to vector data for sidewalks, bike lanes, medians, driveways, edge of pavements, building footprints, grass, pervious areas, parking lots, tree canopy, vegetation, through lanes, and turning lanes, along with width attributes. 3D data includes buildings, bridges, and trees. </SPAN></SPAN></P><P><SPAN>Attributes in the 3d building feature class:</SPAN></P><P><SPAN>(1) BID/CID: Unique identifier for a building; polygons of the same BID/CID belong to the same building (structure). Buildings with multiple elevation elements will have multiple polygons, but be correlated to the same BID/CID.</SPAN></P><P><SPAN>(2) PID: Unique identifier for the individual roof polygon. A structure may have multiple PIDs, but they will all be correlated to the same BID/CID.</SPAN></P><P><SPAN>(3) Parent_id: The PID of the roof polygon that is corresponding to the base or lower level structure. The base levels of a building will have a Parent_id value of -1.</SPAN></P><P><SPAN>(4) Earliest: Date of the earliest capture.</SPAN></P><P><SPAN>(5) Latest: Date of the latest capture.</SPAN></P><P><SPAN>** Additional information on 3D Building Creation: </SPAN></P><P><SPAN>3D Buildings are created by a process of triangulation using multiple images captured over several years. Because buildings may change over the course of several years, 3D building vectors may not exactly match with orthophotos. The columns earliest and latest in the attribute table refer to the dates of imagery used to derive the building vectors.</SPAN></P><P><SPAN>(6) CateTitle: Category of the polygon. </SPAN></P><P><SPAN>(7) abs_height: (Roof eave) height above global average orthometric height(datum: NAD83). Height value is expressed in feet. </SPAN></P><P><SPAN>(8) rel_height: (Roof eave) relative height above ground. Height value is expressed in feet. </SPAN></P><P><SPAN /></P><P><SPAN /></P></DIV></DIV></DIV> |
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<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN><SPAN>Use Limitations: Use is permitted by PAG member jurisdictions, and their projects do not necessarily reflect the official views or policies of PAG and have not been approved or endorsed by PAG. By using this data, the end user agrees not to learn and train algorithms. PAG holds a perpetual use license for the data.</SPAN></SPAN></P><P><SPAN /></P></DIV></DIV></DIV> |
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DBO.T800973_PAG_Tucson_3D_Building_EPSG2868_24Q4 |
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["Pima County","Planimentric","LULC","active modes","green infrastructure","pervious","impervious","land cover","land classification","AI","multi-modal transportation infrastructure","sidewalk inventory","air quality","comprehensive mapping"] |
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en-US |
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150000000 |
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