activity
20232026
most citedSub-Meter Tree Height Mapping of California using Aerial Images and LiDAR-Informed U-Net Model

4 citations · 6 across the 9 of their papers we have counts for

collaborators

9 papers

eess.SP2026

Optimizing GEDI Simulator Configuration for European Temperate Forests

Selim Behloul, Nikola Besic, Steven Hancock +5

Accurate estimation of aboveground biomass density is essential for quantifying forest carbon stocks. NASA's GEDI mission provides valuable canopy structure data, but its sparse sa…

cs.CV2026

ECHOSAT: Estimating Canopy Height Over Space And Time

Jan Pauls, Karsten Schrödter, Sven Ligensa +7

Forest monitoring is critical for climate change mitigation. However, existing global tree height maps provide only static snapshots and do not capture temporal forest dynamics, wh…

cs.CV2025

SERA-H: Super-Resolution of Sentinel Time Series for Fine-Scale 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…

cs.CV2025

FORMSpoT: Revealing Fine-Scale Forest Disturbances from Nation-Wide 1.5 m Forest Canopy Height Time Series

Martin Schwartz, Fajwel Fogel, Nikola Besic +9

Current large-scale satellite-based forest disturbance monitoring systems operate at 10-30~m resolution, too coarse to detect changes at the scale of individual trees and resulting…

cs.CV2025

DUNIA: Pixel-Sized Embeddings via Cross-Modal Alignment for Earth Observation Applications

Ibrahim Fayad, Max Zimmer, Martin Schwartz +6

Significant efforts have been directed towards adapting self-supervised multimodal learning for Earth observation applications. However, most current methods produce coarse patch-s…

cs.CV2025

High Resolution Tree Height Mapping of the Amazon Forest using Planet NICFI Images and LiDAR-Informed U-Net Model

Fabien H Wagner, Ricardo Dalagnol, Griffin Carter +19

Tree canopy height is one of the most important indicators of forest biomass, productivity, and ecosystem structure, but it is challenging to measure accurately from the ground and…

cs.LG2025

Capturing Temporal Dynamics in Large-Scale Canopy Tree Height Estimation

Jan Pauls, Max Zimmer, Berkant Turan +4

With the rise in global greenhouse gas emissions, accurate large-scale tree canopy height maps are essential for understanding forest structure, estimating above-ground biomass, an…

cs.CV2024★ 2 cited

Open-Canopy: Towards Very High Resolution Forest Monitoring

Fajwel Fogel, Yohann Perron, Nikola Besic +8

Estimating canopy height and its changes at meter resolution from satellite imagery is a significant challenge in computer vision with critical environmental applications. However,…

cs.CV2023★ 4 cited

Sub-Meter Tree Height Mapping of California using Aerial Images and LiDAR-Informed U-Net Model

Fabien H Wagner, Sophia Roberts, Alison L Ritz +7

Tree canopy height is one of the most important indicators of forest biomass, productivity, and species diversity, but it is challenging to measure accurately from the ground and f…