mlsanityData to 14 Oct 2026

Open-Canopy: Towards Very High Resolution Forest Monitoring

arXiv 2407.09392 ↗First posted 12 Jul 2024cs.CV eess.IVcited by 16

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Abstract (arXiv)

Estimating canopy height and its changes at meter resolution from satellite imagery is a significant challenge in computer vision with critical environmental applications. However, the lack of open-access datasets at this resolution hinders the reproducibility and evaluation of models. We introduce Open-Canopy, the first open-access, country-scale benchmark for very high-resolution (1.5 m) canopy height estimation, covering over 87,000 km2 across France with 1.5 m resolution satellite imagery and aerial LiDAR data. Additionally, we present Open-Canopy-Delta, a benchmark for canopy height change detection between images from different years at tree level-a challenging task for current computer vision models. We evaluate state-of-the-art architectures on these benchmarks, highlighting significant challenges and opportunities for improvement. Our datasets and code are publicly available at https://github.com/fajwel/Open-Canopy.

Key facts. Cited by 16 papers in the map (data through 14 Oct 2026). Builds on 19 of its 75 references that are in the map. First posted on arXiv 12 Jul 2024.

Builds on

19 of 75 references.

References · 19

  1. 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,744
  2. 2020An Image is Worth 16x16 Words: Transformers for Image Recognition at Scalecited by 30,186
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  5. 2014ImageNet Large Scale Visual Recognition Challengecited by 8,498
  6. 2023DINOv2: Learning Robust Visual Features without Supervisioncited by 7,974
  7. 2017Rethinking Atrous Convolution for Semantic Image Segmentationcited by 2,161
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  12. 2017Functional Map of the Worldcited by 338
7 more
  1. 2022Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale Geospatial Representation Learningcited by 308
  2. 2022SatlasPretrain: A Large-Scale Dataset for Remote Sensing Image Understandingcited by 167
  3. 2022A high-resolution canopy height model of the Earthcited by 91
  4. 2023Very high resolution canopy height maps from RGB imagery using self-supervised vision transformer and convolutional decoder trained on Aerial Lidarcited by 60
  5. 2024Estimating Canopy Height at Scalecited by 16
  6. 2023Sub-Meter Tree Height Mapping of California using Aerial Images and LiDAR-Informed U-Net Modelcited by 10
  7. 2022Multi-Layer Modeling of Dense Vegetation from Aerial LiDAR Scanscited by 6

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 2; 2025: 7; 2026: 7.

16 papers.

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  1. 2024Depth Any Canopy: Leveraging Depth Foundation Models for Canopy Height Estimationcited by 12
  2. 2025From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversioncited by 8
  3. 2024Contrasting local and global modeling with machine learning and satellite data: A case study estimating tree canopy height in African savannascited by 6
  4. 2025LiDAR Remote Sensing Meets Weak Supervision: Concepts, Methods, and Perspectivescited by 4
  5. 2026CHMv2: Improvements in Global Canopy Height Mapping using DINOv3cited by 3
  6. 2025MAESTRO: Masked AutoEncoders for Multimodal, Multitemporal, and Multispectral Earth Observation Datacited by 2
  7. 2025Super-Resolved Canopy Height Mapping from Sentinel-2 Time Series Using Airborne LiDAR HD Reference Data across Metropolitan Francecited by 2
  8. 2025SERA-H: Super-Resolution of Sentinel Time Series for Fine-Scale Canopy Height Mappingcited by 1
  9. 2025EoS-FM: Can an Ensemble of Specialist Models act as a Generalist Feature Extractor?cited by 0
  10. 2025FORMSpoT: Revealing Fine-Scale Forest Disturbances from Nation-Wide 1.5 m Forest Canopy Height Time Seriescited by 0
  11. 2026AgroTools: A Benchmark for Tool-Augmented Multimodal Agents in Agriculturecited by 0
  12. 2026Biomazon: A Multimodal Dataset for 3D Forest Structure and Biomass Modeling in the Amazon Basincited by 0
4 more
  1. 2026Counting Trees from Satellite Imagery with Noisy Supervisioncited by 0
  2. 2026Uncertainty-aware tree height change regressioncited by 0
  3. 2026Toward a foundation model for forest point cloudscited by 0
  4. 2026Pixel-Level Transformers in Remote Sensing: A Canopy Height Case Studycited by 0