Analyzing Satellite-Derived 3D Building Inventories and Quantifying Urban Growth towards Active Faults: A Case Study of Bishkek, Kyrgyzstan

#############################################################################################################<br> Datasets supporting the publication:<br> Analyzing satellite-derived 3D building inventories and quantifying urban growth towards active faults:<br> a case study of Bishkek, Kyrgyzstan.<br> https://doi.org/10.3390/rs14225790 -Please refer to the publication for details on the production of each dataset.<br> -Datasets are ordered following the publication figures.<br> -Please cite the publication and this dataset repository when using the data.<br> ############################################################################################################# ------------------------<br> Structure:<br> File ID<br> -[fields:] description<br> ------------------------ KH9_1979_builtup.shp<br> -KH9 1979 built-up area classification S2_2021_builtup.tif<br> -Sentinel-2 2021 built-up area classification. S2_2021_corine_land_cover_class.tif<br> -Sentinel-2 2021 land cover classification in Corine 2018 land-cover classes. S2_KH9_DN_change_aggregated.shp<br> -Proportional DN change aggregated to a 1 km^2 grid for areas ≥50% built-up. building_characteristics.shp<br> -build_count: building count in 500 m square grid cell.<br> -mean_area: mean building size (m^2) in 500 m square grid cell.<br> -median_area: median building size(m^2) in 500 m square grid cell.<br> -cell_coverage: %building coverage of 500 m square grid cell. pleiades_buildings_all.shp<br> -All building detections from Pleiades data. Confidence values are output from the deep learning model. pleiades_buildings_heights.shp<br> -Building detections from the Pleiades data that were allocated heights (m).<br> -Zmean, Zmedian,... refer to heights (m) wv2_buildings_all.shp<br> -All building detections from WorldView-2 data. Confidence values are output from the deep learning model. wv2_buildings_heights.shp<br> -Building detections from the WorldView-2 data that were allocated heights (m).<br> -Zmean, Zmedian,... refer to heights (m) trained_rcnn.zip<br> -ArcGIS Pro deep learning model (DLPK) used to extract building footprints.