As the world population grows, the demand for food, fuel and raw materials provided by agriculture is also increasing. These growing needs must be satisfied on increasingly smaller area of arable land per capita, while considering environmental sustainability and climate change effects and their mitigation. We need to make our agricultural production always more effective – using less resources to increase yields. To face this major challenge, remote sensing is an ideal tool to assist the evolution of agricultural practices. It provides repetitive information on crop status throughout the seasons at different scales and for different actors.
Many remote sensing sensors are used today for monitoring of crops, from precision farming to large scale food security assessments. In this webinar, we will introduce the use of Sentinel-2 multi-spectral data to derive high resolution information on crop biophysical parameters such as Leaf Area Index (LAI), Fraction of Absorbed Photosynthetically Active Radiation (fAPAR), Fraction of Vegetation Cover (FVC), Canopy Chlorophyll (CCC) and Canopy Water Content (CWC). These parameters provide information on vegetation/crop status such as health or water/nutrient stress and serve as input to estimate more complex variables such as yield.
You can replay this webinar through our RUS Copernicus Training channel available on Youtube.
You can also retrieve the corresponding training support in the Learn by yourself section of the RUS portal.