Sentinel2 RGB chips over Colombia (NE) with JRC GHSL Population Density 2015 for Learning with Label Proportions (Q6695156)

Region of Interest (ROI) is comprised of the east - northeast region of Colombia covering parts of Santander, Norte de Santander, Boyac, Bolvar, Antioquia and Cundinamarca. We use the communes administrative division defined by DANE (Departamento Administrativo Nacional de Estadstica) under municipios in the MGN2021 at https://geoportal.dane.gov.co/geovisores/territorio/mgn-marco-geoestadistico-nacional/ images: Sentinel2 RGB from 2020-01-01 to 2020-31-12 filtered out pixels with clouds during the observation period according to QA60 band following the example given in GEE dataset info page, and took the median of the resulting pixels see https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S2_SR_HARMONIZED see alsohttps://github.com/rramosp/geetiles/blob/main/geetiles/defs/sentinel2rgbmedian2020.py labels: Global Human Settlement Layers, Population Grid 2015 labels range from 0 to 31, with the following meaning: label value original value in GEE dataset 0 0 1 1-10 2 11-20 3 21-30 ... 31 =291 see https://developers.google.com/earth-engine/datasets/catalog/JRC_GHSL_P2016_POP_GPW_GLOBE_V1 see alsohttps://github.com/rramosp/geetiles/blob/main/geetiles/defs/humanpop2015.py _aschips.geojson the image chips geometries along with label proportions for easy visualization with QGIS, GeoPandas, etc. _communes.geojson the communes geometries with their label prortions for easy visualization with QGIS, GeoPandas, etc. splits.csv contains two splits of image chips in train, test, val - with geographical bands at 45° angles in nw-se direction - the same as above reorganized to that all chips within the same commune fall within the same split. data/ a pickle file for each image chip containing a dict with - the 100x100 RGB sentinel 2 chip image - the 100x100 chip level lavels - the label proportions of the chip - the aggregated label proportions of the commune the chip belongs to