Programming Geospatial with R and Google Earth Engine

Summer Webinar Series: Programming Geospatial with R and Google Earth Engine

Share through an informal series of webinars some recent real-case scenarios from research - mainly related to VAIA storm effects - where tasks related to spatial-data were solved by integrating GIS methods with scripting in Google Earth Engine GEE and R. Code is shared @https://github.com/fpirotti/webinar_series_R_GEE 

Why? 

programming/scripting is increasingly important - researchers, but also master students, should be able to use these tools or at least know where to start for self-learning. GEE uses Javascript, and R its own syntax, but principles are the same across languages. Integrating GEE and R in your workflow can boost your productivity and open new scenarios with spatial data, hopefully increasing your skills in problem-solving.

Who is it for? 

For any researcher/student out there that fiddles with GIS, is curious about the potential of programming and wants to integrate more advanced tools in her/his research.

How does it work? 

*Sign-up to GEE @ code.earthengine.google.com + Download&install R + RStudio - if you are already knowledgeable in R then proceed to install the packages “raster”+”lwgeom”+”sf”+”mapview”