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conus/conus_partitions_aschips_293d95e3ee589/biomass-2018/1c531aad0f065.nc
2024-10-31T15:57:09.868000
56,772
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conus
biomass-2018
conus/conus_partitions_aschips_293d95e3ee589/biomass-2018/078a1d58e61e7.nc
2024-10-31T15:48:09.297000
56,767
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conus
biomass-2018
conus/conus_partitions_aschips_293d95e3ee589/biomass-2018/02ea33bdd6e4e.nc
2024-10-31T15:45:52.178000
56,728
"iUhERg0KGgoCCAgAAAAAAAAAAAD//////////5jdAAAAAAAAMAAAAAAAAAAMUzNiT0hEUgINtAICIgAAAAAAAw0AAAAAAAAAWL8(...TRUNCATED)
conus
biomass-2018
conus/conus_partitions_aschips_293d95e3ee589/biomass-2018/19f1bfa4e85de.nc
2024-10-31T15:56:12.395000
56,709
"iUhERg0KGgoCCAgAAAAAAAAAAAD//////////4XdAAAAAAAAMAAAAAAAAAC9YAwXT0hEUgINtAICIgAAAAAAAw0AAAAAAAAARb8(...TRUNCATED)
conus
biomass-2018
conus/conus_partitions_aschips_293d95e3ee589/biomass-2018/249215b68d1fe.nc
2024-10-31T16:00:36.434000
56,636
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conus
biomass-2018
conus/conus_partitions_aschips_293d95e3ee589/biomass-2018/357f86de025ce.nc
2024-10-31T16:08:00.412000
56,636
"iUhERg0KGgoCCAgAAAAAAAAAAAD//////////zzdAAAAAAAAMAAAAAAAAADLBSpIT0hEUgINtAICIgAAAAAAAw0AAAAAAAAA/L4(...TRUNCATED)
conus
biomass-2018
conus/conus_partitions_aschips_293d95e3ee589/biomass-2018/136dbf6adcff4.nc
2024-10-31T15:53:23.977000
56,576
"iUhERg0KGgoCCAgAAAAAAAAAAAD//////////wDdAAAAAAAAMAAAAAAAAAAJ2GHCT0hEUgINtAICIgAAAAAAAw0AAAAAAAAAwL4(...TRUNCATED)
conus
biomass-2018
conus/conus_partitions_aschips_293d95e3ee589/biomass-2018/3114fdaa6f125.nc
2024-10-31T16:06:12.071000
56,519
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conus
biomass-2018
conus/conus_partitions_aschips_293d95e3ee589/biomass-2018/257f5b7bbcd60.nc
2024-10-31T16:01:05.796000
56,409
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conus
biomass-2018
conus/conus_partitions_aschips_293d95e3ee589/biomass-2018/1a0a608c98bd7.nc
2024-10-31T15:56:14.747000
56,256
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conus
biomass-2018
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YAML Metadata Warning:empty or missing yaml metadata in repo card

Check out the documentation for more information.

Decompression

If you need to decompress the files, please see the main README at the github repo.
If you want to use them directly from the parquet files, the original .tif/.nc files were read into the rows as binary file data sources

Contiguous United States AOI

image/png

We provide '.csv' files with predefined train (blue), test (orange) and validation (green) splits that can be used for repeatability and comparability of experiments. 60% of tiles are allocated for training, 20% for validation, and 20% for testing.

Temporal Coverage

As of now, M3LEO contains data from 2018 - 2020 for SAR amplitude and multi-spectral Sentinel-2 imagery. Other datasets are provided for 2020 only. Future iterations might extend the dataset to other years.

Content

  • s1grd-[2018-2020]: Sentinel-1 C-band SAR Ground Range Detected (GRD) amplitude data. Contains VV and VH polarization channels at 10m resolution, with seasonal median composites (4 seasons/year) for ascending and descending orbits.

  • gssic: Global Seasonal Sentinel-1 Interferometric Coherence and Backscatter dataset at 90m resolution.

  • gunw-dateinit_dateend: ARIA Sentinel-1 Geocoded Unwrapped Interferograms at 90m resolution. Date selection prioritizes maximum interferometric pair availability within the specified period [dateinit, dateend].

  • s2srm-[2018-2020]: Harmonized Sentinel-2 Level 2A surface reflectance data at 10m resolution. Includes 10 spectral bands (B2, B3, B4, B5, B6, B7, B8, B8A, B11, B12) as cloudless monthly medians for March, June, September, and December.

  • biomass-2020: ESA Climate Change Initiative (CCI) Above Ground Biomass annual maps at 90m resolution.

  • esaworldcover-2020: ESA World Cover land use/land cover maps at 10m resolution.

  • modis44b006veg: MODIS Vegetation Continuous Fields (VCF) annual maps at 250m resolution.

  • ghsbuilts-2020: European Commission JRC Global Human Settlement Layer (GHSL) Built-up Surface dataset at 100m resolution.

  • srtmdem: NASA Shuttle Radar Topography Mission (SRTM) digital elevation model at 30m resolution.

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