[HTML][HTML] Focal-TSMP: deep learning for vegetation health prediction and agricultural drought assessment from a regional climate simulation
MH Shams Eddin, J Gall - Geoscientific Model Development, 2024 - gmd.copernicus.org
Satellite-derived agricultural drought indices can provide a complementary perspective of
terrestrial vegetation trends. In addition, their integration for drought assessments under …
terrestrial vegetation trends. In addition, their integration for drought assessments under …
Multi-modal learning for geospatial vegetation forecasting
Precise geospatial vegetation forecasting holds potential across diverse sectors including
agriculture forestry humanitarian aid and carbon accounting. To leverage the vast …
agriculture forestry humanitarian aid and carbon accounting. To leverage the vast …
Identifying Spatio-Temporal Drivers of Extreme Events
The spatio-temporal relations of impacts of extreme events and their drivers in climate data
are not fully understood and there is a need of machine learning approaches to identify such …
are not fully understood and there is a need of machine learning approaches to identify such …