Computer Vision and Pattern Recognition · Computer Science
Estimating Canopy Height at Scale
Jan Pauls, Max Zimmer, Una M. Kelly, Martin Schwartz +5
2026-03-13
Computer Vision and Pattern Recognition · Computer Science
A high-resolution canopy height model of the Earth
Nico Lang, Walter Jetz, Konrad Schindler, Jan Dirk Wegner
2022-04-19
Computer Vision and Pattern Recognition · Computer Science
Very high resolution canopy height maps from RGB imagery using self-supervised vision transformer and convolutional decoder trained on Aerial Lidar
Jamie Tolan, Hung-I Yang, Ben Nosarzewski, Guillaume Couairon +12
2023-12-18
Computer Vision and Pattern Recognition · Computer Science
CHMv2: Improvements in Global Canopy Height Mapping using DINOv3
John Brandt, Seungeun Yi, Jamie Tolan, Xinyuan Li +8
2026-03-09
Machine Learning · Computer Science
Capturing Temporal Dynamics in Large-Scale Canopy Tree Height Estimation
Jan Pauls, Max Zimmer, Berkant Turan, Sassan Saatchi +3
2026-03-13
Computer Vision and Pattern Recognition · Computer Science
Open-Canopy: Towards Very High Resolution Forest Monitoring
Fajwel Fogel, Yohann Perron, Nikola Besic, Laurent Saint-André +7
2024-12-12
Computer Vision and Pattern Recognition · Computer Science
First Mapping the Canopy Height of Primeval Forests in the Tallest Tree Area of Asia
Guangpeng Fan, Fei Yan, Xiangquan Zeng, Qingtao Xu +7
2024-04-24
Computer Vision and Pattern Recognition · Computer Science
SERA-H: Beyond Native Sentinel Spatial Limits for High-Resolution Canopy Height Mapping
Thomas Boudras, Martin Schwartz, Rasmus Fensholt, Martin Brandt +5
2026-03-26
Computer Vision and Pattern Recognition · Computer Science
MANGO: A Global Single-Date Paired Dataset for Mangrove Segmentation
Junhyuk Heo, Beomkyu Choi, Hyunjin Shin, Darongsae Kwon
2026-01-27
Computer Vision and Pattern Recognition · Computer Science
Canopy Tree Height Estimation Using Quantile Regression: Modeling and Evaluating Uncertainty in Remote Sensing
Karsten Schrödter, Jan Pauls, Fabian Gieseke
2026-04-09
Computer Vision and Pattern Recognition · Computer Science
Forest canopy height estimation from satellite RGB imagery using large-scale airborne LiDAR-derived training data and monocular depth estimation
Yongkang Lai, Xihan Mu, Dasheng Fan, Donghui Xie +4
2026-02-10
Machine Learning · Computer Science
Contrasting local and global modeling with machine learning and satellite data: A case study estimating tree canopy height in African savannas
Esther Rolf, Lucia Gordon, Milind Tambe, Andrew Davies
2024-11-22
Computer Vision and Pattern Recognition · Computer Science
Mapping Farmed Landscapes from Remote Sensing
Michelangelo Conserva, Alex Wilson, Charlotte Stanton, Vishal Batchu +1
2025-10-17
Machine Learning · Computer Science
Global canopy height regression and uncertainty estimation from GEDI LIDAR waveforms with deep ensembles
Nico Lang, Nikolai Kalischek, John Armston, Konrad Schindler +2
2021-11-05
Computer Vision and Pattern Recognition · Computer Science
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, Mayumi CM Hirye +18
2025-01-22
Computer Vision and Pattern Recognition · Computer Science
OpenEarthMap: A Benchmark Dataset for Global High-Resolution Land Cover Mapping
Junshi Xia, Naoto Yokoya, Bruno Adriano, Clifford Broni-Bediako
2022-10-20