Over the last decades, the world’s population is growing and, as a result, higher demand for supplies has led to increased agriculture, both extensive and intensive. Therefore, public authorities and decision-makers need accurate and systematic information to rely on and help ensure food security.
Application-oriented technologies in the field of Earth observation, such as crop mapping, can provide an economic and feasible approach to monitor agricultural activities.
In this context, the Multispectral Instrument (MSI), carried on the Sentinel-2 satellites and measuring the Earth’s reflected radiation in 13 spectral bands (from VNIR to SWIR) at different spatial resolutions (10, 20 and 60 meters) with a short revisit time, makes the free and open Sentinel-2 data a suitable option to identify crops.
In this webinar, we will introduce the basics of image processing for crop mapping. We will employ R coding to demonstrate the corresponding methodology focusing on a variety of algorithms – supervised and unsupervised – over the agricultural area of the Guadalquivir Marshes, near Seville, in Spain. We will also show you how to access the RUS Service to download, process, analyse and visualise the free and open data acquired by the Copernicus satellites.
You can replay this webinar through our RUS Copernicus Training channel available on Youtube.
You can also retrieve the corresponding training support in the Train with RUS section of the RUS portal.