Our work was presented at the 2024 IEEE International Geoscience and Remote Sensing Symposium (7-12 July, 2024 Athens) during the oral session.
S. Mirzaei et al., “PRISMA4AFRICA: Leveraging Hyperspectral and Thermal Data Integration for Enhanced Food Security,” IGARSS 2024 – 2024 IEEE International Geoscience and Remote Sensing Symposium, Athens, Greece, 2024, pp. 2709-2712, doi: 10.1109/IGARSS53475.2024.10640917.
The project “EO AFRICA EXPLORERS—PRISMA 4 AFRICA”, funded by the ESA, aims at combining products derived from hyperspectral (e.g., PRISMA, EnMAP, DESIS) and thermal data (e.g., ECOSTRESS, Landsat) to detect vegetation anomalies and identify whether they may be related to biotic or abiotic stress factors. In this context, water stress as a main abiotic stress was considered. At this aim we investigated the possibility to exploit PRISMA combined with the ECOSTRESS data to derive evapotranspiration (ET). Even though LST products are available and appear of good quality, the lack of ancillary data prevents ET products to be generated timely. 30-m ET map was produced by combining of ECOSTRESS and PRISMA data and used for water stress estimation. The resulting products proved to be sufficiently accurate to describe the crop water stress at the field scale.
URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10640917&isnumber=10640352