36 citations · 47 across the 4 of their papers we have counts for
5 papers
3Dtrees.earth: community research infrastructure for tree and forest analysis using close-range LiDAR data
Janusch Vajna-Jehle, Kilian Gerberding, Daniel Lusk +275
From individual trees to forest stands, three-dimensional structure shapes carbon, water, and energy flows, habitat conditions, and resource availability. Yet tree and forest struc…
Spatioformer: A Geo-encoded Transformer for Large-Scale Plant Species Richness Prediction
Yiqing Guo, Karel Mokany, Shaun R. Levick +2
Earth observation data have shown promise in predicting species richness of vascular plants (-diversity), but extending this approach to large spatial scales is challenging beca…
Benchmarking tree species classification from proximally-sensed laser scanning data: introducing the FOR-species20K dataset
Stefano Puliti, Emily R. Lines, Jana Müllerová +30
Proximally-sensed laser scanning offers significant potential for automated forest data capture, but challenges remain in automatically identifying tree species without additional…
Plant species richness prediction from DESIS hyperspectral data: A comparison study on feature extraction procedures and regression models
Yiqing Guo, Karel Mokany, Cindy Ong +3
The diversity of terrestrial vascular plants plays a key role in maintaining the stability and productivity of ecosystems. Airborne hyperspectral imaging has shown promise for meas…
Quantitative Assessment of DESIS Hyperspectral Data for Plant Biodiversity Estimation in Australia
Yiqing Guo, Karel Mokany, Cindy Ong +3
Diversity of terrestrial plants plays a key role in maintaining a stable, healthy, and productive ecosystem. Though remote sensing has been seen as a promising and cost-effective p…