JRC Global Surface Water, MonthlyHistory, VER5-0 (2017 to 2021)

This publication is a byte-for-byte mirror of the JRC Global Surface Water Monthly History tiles for 2017 to 2021. The dataset describes surface water cover at 30 m resolution. We added a STAC index for this dataset. We mirror from the JEODPP FTP server to a modern object storage solution.

This republication does not include the full 1984 to present history, but if you're interested in a full republication, contact jake@epoch.blue.

Producer and source

• Producer: European Commission, Joint Research Centre (JRC), with Google. This publication is a derivative of the work authored by the JRC.
• Source: JRC JEODPP, ftp/jrc-opendata/GSWE/MonthlyHistory/VER5-0/tiles/<YYYY>/<YYYY>_<MM>/.
• Reference: Pekel, J.-F., Cottam, A., Gorelick, N., Belward, A. S. (2016). High-resolution mapping of global surface water and its long-term changes. Nature 540, 418-422. https://doi.org/10.1038/nature20584

Licence and citation

The data is produced under the Copernicus Programme and is free of charge, without restriction of use. Attribute as "Source: EC JRC/Google". The mirror does not imply endorsement by the European Commission or the JRC.

Changes to Original Publication

Nothing. We mirror the tiles unchanged. The source files are tiled GeoTIFFs with 256 × 256 blocks and no overviews. JEODPP gives no MD5 hash. We verify integrity by a full TIFF header re-parse of each tile.

Coverage

Files

y_off and x_off are the pixel offsets of the zone in the global grid, zero-padded to 10 digits.

How to read

Example of an anonymous read through the source.coop proxy. Find tiles for an area and a month with the STAC index:

Known limitations

• Only years 2017 to 2021 are mirrored.
• The tiles have no overviews. A low-zoom view will read the full-resolution data and take up significant memory.
• There is no public icechunk store for this product.
• Note that reads with rioxarray require mask_and_scale=False. Without this setting a default read decodes 0 to NaN.