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Software requirements: GRASS GIS 8
This is an introduction to the new version 8 of GRASS GIS, showcasing the heavily redesigned graphical user interface. It also explores the interaction with data (visualization, styling, map elements), the analysis of data from different domains, and it introduces to automated processing.
The second part introduces the Python 3 scripting, the spatio-temporal data analysis, and more.
Candidate datasets: improved ERA5 land air temperature, surface temperature and precipitation (daily data).
GRASS GIS supports time-series processing for vector, raster, and volume data. This tutorial is a micro-introduction to Landsat and 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 video also gives a preparation of data for multitemporal analyses is enabled in the t.sentinel and t.rast.mosaic extensions through automatic creation of space-time raster datasets (strds), and temporal aggregation to obtain cloud-free temporal mosaics of arbitrary granularity. It explores the computation of NDVI time series
Use Sentinel, ERA5 land air temperature, surface temperature and precipitation (daily data).