Multitemporal Remote Sensing Data for Multiparametric Drought Monitoring in Agricultural Applications
Year: 2026
Type: conference-paper
Abstract: The present study showcases the activities and first achievements of the European Commission funded Horizon project EXPERT in the development of a drought monitoring tool for agricultural applications. The work focusses on the creation of a temporally dense spaceborne hyperspectral time series of PRISMA and EnMAP data over the Moara Domnească Didactic Farm, Bucharest, Romania. Complementary to this, Sentinel-1 and Sentinel-2 time series, TIR Land Surface Temperature and meteorological data are used to investigate and model the impacts of droughts on agricultural crops, namely Grain Maize. The results aim at showcasing the enhanced information capabilities allowed by the integration of hyperspectral data with multiparametric sources and provide insights into the future integration of this approach for active cropland monitoring with the advent of the European Space Agency hyperspectral constellation CHIME.
Language: English
Subfield: Ecology
Field: Environmental Science
Domain: Physical Sciences
SDGs: Zero hunger, Climate action
Open Access status: hybrid
OpenAlex ID: W7167247604