Skip to main content
Advanced Search

Filters: Tags: Built Environment (X)

7 results (304ms)   

View Results as: JSON ATOM CSV
thumbnail
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...
Density (km / km^2) of all roads in the western United States. Dataset was developed to generalize the 2000 US Census TIGER/Line Roads layer to a density within 18km of each pixel. Obtained from 2000 US Census TIGER/Line Roads using LINEDENSITY with an 18km search radius.


    map background search result map search result map Railroads of North America All Road Density (18km) A national dataset of rasterized building footprints for the U.S. All Road Density (18km) A national dataset of rasterized building footprints for the U.S. Railroads of North America