ARSET – Crop Mapping using Synthetic Aperture Radar (SAR) and Optical Remote Sensing

This advanced training builds on previous ARSET agricultural trainings. We will present advanced radar remote sensing techniques using polarimetry and a canopy structure dynamic model to monitor crop growth. The training will cover how to apply machine learning methods to classify crop type using a time series of Sentinel-1 & Sentinel-2 imagery. This series will include practical exercises using the Sentinel Application Platform (SNAP) and Python code written in Python Jupyter Notebooks.