Datasets supporting the paper 'Narrowing the gap for city building height predictions'
收藏资源简介：
###########################################################Datasets supporting the publication:Watson, C.S., and Elliott, J.R. Narrowing the gap for city building height predictions https://doi.org/10.1038/s41598-025-15929-2 -Please refer to the publication for details on the production of each dataset.-Please cite the publication and this dataset repository when using the data. -Pleiades Dataset owner: John Elliott J.Elliott@leeds.ac.uk########################################################### *V2 updated to incluce icesat2_validation_buildings.shp and the deep learning model Pix2Pix_Model_E.dlpk *See V1 for the DSM/DTM files Contents: Cloud masks showing areas of the DEMs that are affected by cloud cover. Valid elevations are still present in some of these areas. quito_cloud_mask.gpkg naioribi_cloud_mask.gpkg kathmandu_cloud_mask.gpkg City digital surface models (1.5 m resolution, UTM projections, ellipsoid height) generated from tri-stereo Pleiades imagery: dsm_quito.tif dsm_nairobi.tif dsm_kathmandu.tif City digital terrain models (1.5 m resolution, UTM projections, ellipsoid height): dtm_quito.tif dtm_nairobi.tif dtm_kathmandu.tif Validation building heights derived from ICESat-2 icesat2_validation_buildings.shp Pix2Pix Model E (best performing model) Pix2Pix_Model_E.dlpk (ArcGIS Pro) Acknowledgements: This research has been supported the UK Research and Innovation (UKRI) Global Challenges Research Fund (GCRF) Urban Disaster Risk Hub (NE/S009000/1) (Tomorrow’s Cities), and COMET. COMET is the NERC Centre for the Observation and Modelling of Earthquakes, Volcanoes and Tectonics, a partnership between UK Universities and the British Geological Survey. John Elliott is supported by a Royal Society University Research fellowship (UF150282).
