8 papers
Estimating Individual Tree Height and Species from UAV Imagery
Jannik Endres, Etienne Laliberté, David Rolnick +1
Accurate estimation of forest biomass, a major carbon sink, relies heavily on tree-level traits such as height and species. Unoccupied Aerial Vehicles (UAVs) capturing high-resolut…
Understanding Representation Gaps Across Scales in Tropical Tree Species Classification from Drone Imagery
Sulagna Saha, Arthur Ouaknine, Etienne Laliberté +7
Accurate classification of tropical tree species from unoccupied aerial vehicle (UAV) imagery remains challenging due to high species diversity and strong visual similarity among s…
SelvaBox: A high-resolution dataset for tropical tree crown detection
Hugo Baudchon, Arthur Ouaknine, Martin Weiss +5
Detecting individual tree crowns in tropical forests is essential to study these complex and crucial ecosystems impacted by human interventions and climate change. However, tropica…
SelvaMask: Segmenting Trees in Tropical Forests and Beyond
Simon-Olivier Duguay, Hugo Baudchon, Etienne Laliberté +3
Tropical forests harbor most of the planet's tree biodiversity and are critical to global ecological balance. Canopy trees in particular play a disproportionate role in carbon stor…
GreenHyperSpectra: A multi-source hyperspectral dataset for global vegetation trait prediction
Eya Cherif, Arthur Ouaknine, Luke A. Brown +7
Plant traits such as leaf carbon content and leaf mass are essential variables in the study of biodiversity and climate change. However, conventional field sampling cannot feasibly…
Bringing SAM to new heights: Leveraging elevation data for tree crown segmentation from drone imagery
Mélisande Teng, Arthur Ouaknine, Etienne Laliberté +3
Information on trees at the individual level is crucial for monitoring forest ecosystems and planning forest management. Current monitoring methods involve ground measurements, req…