5 citations · 14 across the 10 of their papers we have counts for
11 papers
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…
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…
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…
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…
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…
Assessing SAM for Tree Crown Instance Segmentation from Drone Imagery
Mélisande Teng, Arthur Ouaknine, Etienne Laliberté +3
The potential of tree planting as a natural climate solution is often undermined by inadequate monitoring of tree planting projects. Current monitoring methods involve measuring tr…
Tree semantic segmentation from aerial image time series
Venkatesh Ramesh, Arthur Ouaknine, David Rolnick
Earth's forests play an important role in the fight against climate change, and are in turn negatively affected by it. Effective monitoring of different tree species is essential t…
FoMo: Multi-Modal, Multi-Scale and Multi-Task Remote Sensing Foundation Models for Forest Monitoring
Nikolaos Ioannis Bountos, Arthur Ouaknine, Ioannis Papoutsis +1
Forests are vital to ecosystems, supporting biodiversity and essential services, but are rapidly changing due to land use and climate change. Understanding and mitigating negative…
OpenForest: A data catalogue for machine learning in forest monitoring
Arthur Ouaknine, Teja Kattenborn, Etienne Laliberté +1
Forests play a crucial role in Earth's system processes and provide a suite of social and economic ecosystem services, but are significantly impacted by human activities, leading t…
Detangling the role of climate in vegetation productivity with an explainable convolutional neural network
Ricardo Barros Lourenço, Michael J. Smith, Sylvia Smullin +3
Forests of the Earth are a vital carbon sink while providing an essential habitat for biodiversity. Vegetation productivity (VP) is a critical indicator of carbon uptake in the atm…