5 papers
Uncertainty-aware tree height change regression
Max Gaber, Dimitri Gominski, Jaime C. Revenga +3
Monitoring canopy height change is essential for understanding carbon sinks and forest dynamics. Remote sensing enables consistent, large-scale observations of such changes, increa…
Counting Trees from Satellite Imagery with Noisy Supervision
Dimitri Gominski, Maurice Mugabowindekwe, Qiue Xu +6
Counting individual trees is a fundamental task for environmental monitoring, yet remains largely unexplored with satellite imagery. At these resolutions, isolated trees may still…
SERA-H: Beyond Native Sentinel Spatial Limits for High-Resolution Canopy Height Mapping
Thomas Boudras, Martin Schwartz, Rasmus Fensholt +6
High-resolution mapping of canopy height is essential for forest management and biodiversity monitoring. Although recent studies have led to the advent of deep learning methods usi…
Trees as Gaussians: Large-Scale Individual Tree Mapping
Dimitri Gominski, Martin Brandt, Xiaoye Tong +6
Trees are key components of the terrestrial biosphere, playing vital roles in ecosystem function, climate regulation, and the bioeconomy. However, large-scale monitoring of individ…
Mining Field Data for Tree Species Recognition at Scale
Dimitri Gominski, Daniel Ortiz-Gonzalo, Martin Brandt +2
Individual tree species labels are particularly hard to acquire due to the expert knowledge needed and the limitations of photointerpretation. Here, we present a methodology to aut…