110 citations · 113 across the 2 of their papers we have counts for
2 papers
cs.LG2025★ 3 cited
Early Detection of Forest Calamities in Homogeneous Stands -- Deep Learning Applied to Bark-Beetle Outbreaks
Maximilian Kirsch, Jakob Wernicke, Pawan Datta +1
Climate change has increased the vulnerability of forests to insect-related damage, resulting in widespread forest loss in Central Europe and highlighting the need for effective, c…
cs.CV2017★ 110 cited
Methods for Mapping Forest Disturbance and Degradation from Optical Earth Observation Data: a Review
Manuela Hirschmugl, Heinz Gallaun, Matthias Dees +4
Purpose of review: This paper presents a review of the current state of the art in remote sensing based monitoring of forest disturbances and forest degradation from optical Earth…