We updated our cheatsheet on spatial data handling in R. Beside some minor changes of common raster commands we also added now some of the new RStoolbox commands within a Remote Sensing operations section such as the command for supervised classification, fractional cover analysis or cloud masking.
The R spatial data handling cheatsheet has been created to ease the use of relevant R commands and cen be downloaded as pdf.
you may also like:
Walk through any city and you pick up on things that are hard to put a number on. The noise of a main road, the heat that sits between buildings in summer, the question of whether that little park around the corner is really enough green space for the whole...
Anyone who's tried to do geospatial work across the whole island of Ireland knows the headache. Ireland is one island geographically, but it's split across two jurisdictions, the Republic and Northern Ireland, and each one runs its own data infrastructure. Different...
There's a new R package on the block, and it's solving a problem that sounds simple until you actually try to do it: how do you tell whether putting solar panels over a farm field is good or bad for the soil and the crops around them? Marlene, one of our EAGLE...
Dr. Ariane Droin presented the works of her PhD-Thesis at the Geo-Kolloquium of the Technical University of Graz with the title "Hochauflösende, skalenübergreifende Modellierung von Nachbarschaftserreichbarkeiten im urbanen Raum" on the 17th of June 2026. She showed...
When you think of a research internship in remote sensing, your mind probably jumps to lab screens, stacks of satellite imagery, and a lot of coffee. What you probably don't picture is standing in the middle of Kruger National Park, watching elephants move through the...
A while ago, we shared a lighthearted post about our EORC Earth observation characters. What stayed with us afterward were the reactions from colleagues around the world. Quite a few professors commented, half joking and half serious, that sometimes they wish they...