Our successfully funded new project will start in August called EO-MOVE “multiscale and -sensor environmental analysis for the analysis of spatio-temporal movement patterns and their relevance for remote sensing“. This project is exploring the importance of active and passive Sentinel data for explaining goose movement patterns. Sentinel 1 and Sentinel 2 will be used to understand and explain the movement patterns and deduce habitat requirements of these animals. The approaches should of course be transferable to other species and various remote sensing specific sensitivity tests will be performed. Benjamin Leutner will work on this project in close collaboration with the Max-Planck Institute for Ornithology in Möggingen (Wikelski, Kölzsch, Safi). More updates about the outcome of this project will be posted soon.
New Python package for the development of analysis ready Sentinel-2 datacubes
We are pleased to announce that our PhD student Baturalp Arisoy has just released the open soure Python package stac2cube, dedicated to transform Sentinel-2 satellite imagery into analysis ready data. The package addresses a number of typical challenges arising during...







