In March 2021, I taught a GRASS GIS online workshop as part of the distance learning offer of Gulich Institute (CONAE - UNC) in Argentina. We had a total of 65 students from different countries in South America.
During the workshop, we studied different topics within GRASS ecosystem, but we mostly covered remote sensing, Object Based Image Analysis (OBIA) and time series analysis, making use of GRASS GIS extensions to obtain and process Landsat, Sentinel and MODIS data.
In this tutorial, I’ll exemplify different uses of the freshly created i.landsat toolset and its integration with other GRASS GIS core modules and add-ons for a full workflow to process Landsat data.
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Eight years ago, while doing an MSc in Remote Sensing and GIS Applications at the Argentinean Space Agency - CONAE, I was looking for places where to do a 6-months internship in Italy. I wanted to go completely FOSS and I had heard about GRASS GIS, but hadn’t made the time to learn it until then. That was when I recalled a former colleague from university mentioning the keywords GRASS and Markus Neteler.