GloRESatE Global Mean Annual Rainfall Erosivity - Dataset

Field	Value
Author	Natural Capital Alliance, Stanford University
Tags	EROSIVITY RAINFALL EROSIVITY
Places	GLOBAL
Last Updated	January 8, 2026, 23:41 (UTC)
Created	March 25, 2025, 22:47 (UTC)
Natcap Last Updated	2026-01-08T23:41:07.360497+00:00

Cite this dataset

Das, S., Jain, M. K., Gupta, V., McGehee, R. P., Yin, S., Mello, C. R. de ., Azari, M., Borrelli, P., & Panagos, P. (2024). GloRESatE - Global Rainfall Erosivity from Reanalysis and Satellite Estimates (Version 2) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.11078865

Embed this layer into your website

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  }).addTo(map);

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Use this data in Python

from osgeo import gdal

raster = gdal.OpenEx('/vsicurl/https://data.naturalcapitalalliance.stanford.edu/download/global/GLORESATE-erosivity/GloRESatE_mean_avg_erosivity.tif')
band = raster.GetRasterBand(1)
array = band.ReadAsArray(
    xoff=my_window_x_offset,
    yoff=my_window_y_offset,
    win_xsize=my_window_width_in_pixels,
    win_ysize=my_window_height_in_pixels)