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

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