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AI4Fluxes

AI4Fluxes

The AI4Fluxes project aims to develop a next-generation algorithm that combines all available information sources and AI methods to estimate water (ET) and carbon (GPP/NPP) fluxes in agricultural and forestry areas using data from the Sentinel-2 (10m resolution) and Sentinel-3 (300m resolution) satellites. The…

AmazonLAI Field Campaign

AmazonLAI field campaign

The leaf area index (LAI) and the fraction of absorbed photosynthetically active radiation (FAPAR) by vegetation canopies are recognized by Global Climate Observing System (GCOS) as two essential climate variables over land, meaning that their distribution at global scale impacts…

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