2022-06-14, 11:00–12:30, Workshop room 2 - C223
GRASS GIS supports time-series processing for vector, raster, and volume data. This workshop offers a micro-introduction to Sentinel satellite data archives, and the various ways to access them. It also explores the i.sentinel toolset which allows querying Sentinel data coverage for a region of interest, downloading from multiple data sources, performing atmospheric and topographic corrections, and cloud/shadow masking. This workshop also gives a preparation of data for multitemporal analyses through automatic creation of a space-time raster dataset (strds), It explores the computation of NDVI time series. Eventually we run a simple RandomForest landuse classification on Sentinel-2 data.
Software requirements: We will run GRASS GIS 8.2 on Google Colab.
Jupyter notebook: https://gitlab.com/geoharmonizer_inea/odse-workshop-2022/-/blob/main/grass_gis/notebooks/sentinel2_grass_gis_colab.ipynb
Markus Neteler, PhD, is a cofounder of mundialis after having spent 15 years as a researcher in Italy. His focus is on Earth Observation, GIS and cloud computing. Markus managed for two decades the GRASS GIS project, and he is a founding member of OSGeo and other organizations.