Gap-filled and downscaled vegetation composited index derived from satellite optical observations
Description
This project is in partnership with ARC and GeoNEX under the Ecological Conservation NASA Earth Action program. It seeks to leverage Harmonized Landsat Sentinel-2 (HLS) data to provide gap-filled/downscaled NDVI composite using NASA's Prithvi model.
Detailed example
gap-filled/downscaled NDVI composite
AI / analytics pattern
Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relationships.
Automation level / stage
a) Pre-deployment – The use case is in a development or acquisition status.
Expected benefit
This project is in partnership with ARC and GeoNEX under the Ecological Conservation NASA Earth Action program. It seeks to leverage Harmonized Landsat Sentinel-2 (HLS) data to provide gap-filled/downscaled NDVI composite using NASA's Prithvi model.
Controls / human review
ATO: Not reported; PIA: Not published