Filters: Contacts: Nathan Foks (X) > partyWithName: U.S. Geological Survey - ScienceBase (X)

Filters Date Range Past year (0) Past month (0) Past week (0) Past day (0) Custom range... To   Search Contacts Mehdi Pourpeikari Heris U.S. Geological Survey Kenneth J Bagstad Austin Troy Nathan Foks Geosciences and Environmental Change Science Center Ecosystems Tag Types Theme (1) USGS Scientific Topic Keyword (1) Place (1) Harvest Set (1) Tag Schemes USGS Theasaurus (1) GNIS (1) View Results as: JSON ATOM CSV

A national dataset of rasterized building footprints for the U.S. The Bing Maps team at Microsoft released a U.S.-wide vector building dataset in 2018, which includes over 125 million building footprints for all 50 states in GeoJSON format. This dataset is extracted from aerial images using deep learning object classification methods. Large-extent modelling (e.g., urban morphological analysis or ecosystem assessment models) or accuracy assessment with vector layers is highly challenging in practice. Although vector layers provide accurate geometries, their use in large-extent geospatial analysis comes at a high computational cost. We used High Performance Computing (HPC) to develop an algorithm that calculates six summary values for each cell in a raster representation of each... Tags: Building Footprint, Built Environment, Density, Geography, Land Use Change, All tags... Land cover, Land use, Remote Sensing, USGS Science Data Catalog (SDC), United States, conterminous U.S., Fewer tags Conterminous U.S. Layers These layers cover conterminous U.S.; The file format is raster IMG; and the cell size is 30m. Files are: (1) total footprint coverage, [Conterminous_US_Building_Total_Area] (2) number of unique buildings intersecting each cell, [Conterminous_US_Building_Count] (3) number of building centroids falling inside each cell, [Conterminous_US_Building_Centroid_Count] and (4) average area of the buildings that intersect each cell, [Conterminous_US_Building_Average_Area]; (5) area of the smallest building that intersects each cell, [Conterminous_US_Building_Min_Area]; and (6) area of the largest building that intersects each cell [Conterminous_US_Building_Max_Area]. State-wide Layers Each state has a zipped folder that contains six Geotiff files: 1- <StateName>_avg.tif ===> The value of each cell in this raster layer is the avarage area of all buildings that intersect the cell. The unit is sq meter. 2- <StateName>_cnt.tif ===> The value of each cell in this raster layer is the number of buildings that intersect the cell. 3- <StateName>_max.tif ===> The value of each cell in this raster layer is the maximum of area of all building that intersect the cell. The unit is sq meter. 4- <StateName>_min.tif ===> The value of each cell in this raster layer is the minimum of area of all building that intersect the cell. The unit is sq meter. 5- <StateName>_sum.tif ===> The value of each cell in...