Remote Sensing for Agriculture

 

The working group is dedicated to integrating multisource Remote Sensing (RS) data to monitor cropping systems across varied scales and regions. Key efforts include developing scalable and transferable methods for assessing crop management practices, detailed phenological stages, and mapping crop types. The team also addresses drought monitoring by integrating moderate and high-resolution optical and thermal data to evaluate drought impacts and risk, as well as creating predictive models to enhance early warning systems. Additionally, the group examines the interplay between abiotic and biotic stressors, essential for understanding and managing impacts on crop productivity. A further focus is on building a cross-scale framework to develop indicators for vegetation and landscape diversity, evaluating how spatial heterogeneity affects upscaling and biodiversity assessment. The team is also committed to assessing below-ground properties, such as soil organic carbon, through the use of multispectral and hyperspectral data (proximal, UAV, satellite data).