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copernicus-dem

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palubad / MMTS-GEE

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Google Earth Engine tool to generate multi-modal and multi-temporal datasets, including spatially and temporally aligned Sentinel-1 SAR data, Sentinel-2 multispectral data, weather and DEM-based data. A supplementary material for Paluba et al. 2024: "Identification of Optimal Sentinel-1 SAR Polarimetric Parameters for Forest Monitoring in Czechia

machine-learning time-series dataset digital-elevation-model remote-sensing google-earth-engine earth-observation gee time-series-analysis synthetic-aperture-radar multitemporal-remote-sensing sentinel-2 earth-engine multimodal sentinel-1 era5-land multitemporal-data copernicus-dem
  • Updated Nov 9, 2025
  • JavaScript

abzalabdrash / cryosentinel

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Foundation-model semantic segmenter for glacial lakes from Sentinel-1 SAR, Sentinel-2 optical, and Copernicus DEM imagery. TerraMind 1.0 Large backbone, validation IoU 0.9557 on Tien Shan / Zhetysu / Ile Alatau corridor. Apache 2.0, weights & data on Hugging Face.

lightning deep-learning pytorch remote-sensing satellite-imagery semantic-segmentation earth-observation kazakhstan multimodal sentinel-1 central-asia high-mountain-asia glacial-lakes foundation-model climate-risk copernicus-dem terramind sentinel-1-sar glof tien-shan
  • Updated May 16, 2026
  • Python

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