MOIST will exploit and combine optical, thermal infrared and SAR data from Sentinel-1, Sentinel-2 and Sentinel-3, each with distinct information content, which enables us to map and update crop water needs in due time before the crop has been damaged by water stress. From satellite data, spatially distributed information about variation within an agricultural field with frequent updates is provided giving timely information to the farmer. The project focuses on algorithms for deriving satellite products crucial for irrigation management: vegetation, water stress, evapotranspiration and soil moisture, based on the fusion of optical, thermal infrared and radar data, and field experiments over selected crops in different climate zones in Denmark, Spain and Italy.
A multi-disciplinary approach to irrigation management by satellite tools - the MOIST project
F Mattia;G Satalino;
2018
Abstract
MOIST will exploit and combine optical, thermal infrared and SAR data from Sentinel-1, Sentinel-2 and Sentinel-3, each with distinct information content, which enables us to map and update crop water needs in due time before the crop has been damaged by water stress. From satellite data, spatially distributed information about variation within an agricultural field with frequent updates is provided giving timely information to the farmer. The project focuses on algorithms for deriving satellite products crucial for irrigation management: vegetation, water stress, evapotranspiration and soil moisture, based on the fusion of optical, thermal infrared and radar data, and field experiments over selected crops in different climate zones in Denmark, Spain and Italy.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
