Using Sentinel data for drought monitoring
UK Partners: Prof Kevin TANSEY and Dr Darren GHENT, University of Leicester
Chinese Partners: Dr Huazhong REN and Prof Haimeng ZHAO, Peking University
The temperature of the land surface is a really important indicator of soil moisture, crop cover/type and crop health. We can estimate land surface temperature (LST) from satellites in space with high temporal frequency. There is a need to improve satellite derived land surface temperature products for agricultural remote sensing.
This small project will refine the current LST algorithm for new European Space Agency Sentinel-3 images, and evaluate the LST against other satellite product, UAV images and ground measurement. We will apply these observations in models to look at piloting agricultural drought monitoring in Yangling (Xi’an region) or Inner Mongolia of China using Sentinel-3 data.