Markus Metz
Sessions
Software requirements: GRASS GIS 8
Content:
Introduction to the new version 8 of GRASS GIS, a few concepts
Showcase the heavily redesigned graphical user interface
Interaction with data (visualization, styling, map elements)
Analysis of data from different domains
Introduction to automated processing
Hints on Python 3 scripting, spatio-temporal data analysis, and more.
Candidate datasets: improved ERA5 land air temperature, surface temperature and precipitation (daily data)
Software requirements: GRASS GIS 8
Content:
GRASS GIS supports time series processing for vector, raster, and volume data
Micro-introduction to Landsat and Sentinel satellite data archives, and the various ways to access them
Introduction to 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
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.
Computation of NDVI time series
Use Sentinel, ERA5 land air temperature, surface temperature and precipitation (daily data)