GRASS GIS

Outcomes of an online GRASS GIS course

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.

Working with i.landsat in GRASS GIS

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. First of all, to be able to connect to EarthExplorer you’ll need a user name and password. If you are not yet registered, please see the register page for signing up. Then, create a plain text file with your credentials:

From zero to contributing an add-on for GRASS GIS

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.

Analyzing space-time satellite data for disease ecology applications with GRASS GIS and R stats

Workshop at OpenGeoHub Summer School 2019 about the analysis of space-time satellite data for disease ecology applications with GRASS GIS and R stats.

Analyzing space-time satellite data with GRASS GIS for environmental monitoring

Workshop at OpenGeoHub Summer School 2019 about the analysis of space-time satellite data with GRASS GIS for environmental monitoring.

Introduction to GRASS GIS

Intro to GRASS GIS workshop at OpenGeoHub Summer School 2019 together with Markus Neteler.

Rodents and satellites: Predicting mice abundance and distribution with Sentinel-2 data

Remote sensing data is widely used in numerous ecological applications. The Sentinel-2 satellites (S2 A and B), recently launched by the European Spatial Agency's (ESA), provides at present the best revisit time, spatial and spectral resolution …

Spatiotemporal data processing and visualization in GRASS GIS

Talk at Geostat 2018 about processing and visualizing time series data in GRASS GIS.

Effect of Climate and Land Use on the Spatio-Temporal Variability of Tick-Borne Bacteria in Europe

The incidence of tick-borne diseases caused by Borrelia burgdorferi sensu lato, Anaplasma phagocytophilum and Rickettsia spp. has been rising in Europe in recent decades. Early pre-assessment of acarological hazard still represents a complex …

A New Fully Gap-Free Time Series of Land Surface Temperature from MODIS LST Data

Temperature time series with high spatial and temporal resolutions are important for several applications. The new MODIS Land Surface Temperature (LST) collection 6 provides numerous improvements compared to collection 5. However, being remotely …