The lecture demonstrates the importance of understanding crop phenology through the use of optical multi-source remote sensing. It highlights the challenges of retrieving LSP metrics, such as Start-, Peak-, and End-of-Season (SoS, PoS, and EoS respectively), due to trade-offs in satellite datasets.
Using the example of free available Sentinel-2 images and commercial Plane Scope data, the method to densify time series using synthetic information derived from Planet Scope images is evaluated. This lecture also emphasizes the importance of data fusion methods, including Random Forest (RF), in improving the accuracy of phenometrics retrieval.
The practical lecture concludes by highlighting the outcomes of the course, including the ability to use optical RS time-series to understand crop phenology and acquire skills in RF-fusion of multimodal optical RS data. The case study of phenometrics retrieval from optical RS in Brandenburg illustrates the practical application of the concepts covered in this lecture.