The AI4FLUM project will develop an AI model for classifying forest land use of special tree covered areas by training on FAO’s Forest Resource Assessment (FRA) data, interpretating in a compatible way with the FRA Remote Sensing Survey (RSS) process and provide a related module to be integrated into FAO’s SEPAL The model will be …
Among the most prominent hydrometeorological risks in the Mediterranean region is the occurrence of medicanes, namely storm-systems that attain the structural characteristics of actual tropical cyclones. Medicanes have been widely documented to inflict important socio-economic impacts in the region. Therefore, the overarching objective of this project is to address these catastrophic systems in an integrated …
The UNITE project objectives are: to develop a protocol for estimating all-sky evapotranspiration and LST for the future thermal missions, exploring the high temporal resolution geostationary satellites, advancing the state of the art in ET modeling in water-limited ecosystems The planned activities are: Eddy covariance stations selection consolidation Download of eddy covariance data, consistency control …
