2021-09-07, 15:30–17:00, HUGOTech
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)
Markus Neteler, PhD, is cofounder and senior consultant at mundialis, a geospatial analysis and remote sensing business located in Bonn, Germany (https://www.mundialis.de/). Prior to joining mundialis he spent 15 years as a researcher in Italy with a focus on eco-health, biodiversity, GIS and Earth observation. Since 2015 he puts his energy into the company mundialis, overseeing numerous Earth observation, GIS and cloud computing related projects (esp. actinia). His main interests are remote sensing, analysis of big geodata in the cloud and Free and Open Source software GIS development. He is release manager of GRASS GIS (https://grass.osgeo.org/) since 1997 and founding member of several FOSS4G related associations.
I am a biologist and I hold a PhD in Biological Sciences and an MSc in Remote Sensing and GIS applications. I work as a researcher for CONICET and lecturer at Gulich Institute - Argentinian Space Agency (CONAE) in Córdoba, Argentina. My research is focused on uncovering environmental drivers of vector-borne disease outbreaks. I am mostly interested in those environmental features that can be derived by means of satellite image analysis, remote sensing time series and GIS-based techniques.
I am part of the GRASS GIS Development team and have recently become the new PSC chair. I am a strong advocate for OSGeo and free and open source software for geo-spatial (FOSS4G), currently serving as Program Committee chair for FOSS4G 2021. Among other things, I have volunteered as a mentor for GRASS GIS in the Google Code-In contest introducing high school students into the Open Source world.