This week we hosted a mini-workshop funded by the COST action OPTIMISE to develop a web-based tool that merges flux footprint modeling using the approach by Kljun et al. (2015) with an unsupervised land cover classification using Sentinel-2 and Bing data to devise optimal sensor placement for linking flux measurements with proximal sensing.

(from left to right: Enrico, Tarek, Natascha and Georg)