Remote-sensing-based forest canopy height mapping: some models are useful, but might they provide us with even more insights when combined?

N. Besic, N. Picard, C. Vega, and 10 more authors

Geoscientific Model Development 2025

DOI
Capturing Temporal Dynamics in Large-Scale Canopy Tree Height Estimation

J. Pauls, M. Zimmer, B. Turan, and 4 more authors

Preprint arXiv preprint 2025

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

I. Fayad, M. Zimmer, M. Schwartz, and 6 more authors

Preprint arXiv preprint 2025

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High-resolution canopy height map in the Landes forest (France) based on GEDI, Sentinel-1, and Sentinel-2 data with a deep learning approach

M. Schwartz, P. Ciais, C. Ottlé, and 11 more authors

International Journal of Applied Earth Observation and Geoinformation 2024

DOI
Estimating Canopy Height at Scale

J. Pauls, M. Zimmer, Una M. Kelly, and 6 more authors

Forty-first International Conference on Machine Learning 2024

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Open-Canopy: Towards Very High Resolution Forest Monitoring

F. Fogel, M. Schwartz, P. Ciais, and 4 more authors

Preprint arXiv preprint 2024

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Estimating canopy height at scale

J. Pauls, M. Zimmer, U. Kelly, and 6 more authors

Preprint arXiv preprint 2024

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The European Forest Disturbance Atlas: a forest disturbance monitoring system using the Landsat archive

A. Viana-Soto, C. Senf, J. Sebald, R. Seidl

Earth System Science Data Discussions 2024

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FORMS: Forest Multiple Source height, wood volume, and biomass maps in France at 10 to 30 m resolution based on Sentinel-1, Sentinel-2, and Global Ecosystem Dynamics Investigation (GEDI) data with a deep learning approach

M. Schwartz, P. Ciais, A. De Truchis, and 9 more authors

Earth System Science Data 2023

DOI
Quantifying post-fire shifts in woody-vegetation cover composition in Mediterranean pine forests using Landsat time series and regression-based unmixing

A. Viana-Soto, A. Okujeni, D. Pflugmacher, and 3 more authors

Remote Sensing of Environment 2022

DOI

Publications

Research Publications

Remote-sensing-based forest canopy height mapping: some models are useful, but might they provide us with even more insights when combined?

Capturing Temporal Dynamics in Large-Scale Canopy Tree Height Estimation

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

High-resolution canopy height map in the Landes forest (France) based on GEDI, Sentinel-1, and Sentinel-2 data with a deep learning approach

Estimating Canopy Height at Scale

Open-Canopy: Towards Very High Resolution Forest Monitoring

Estimating canopy height at scale

The European Forest Disturbance Atlas: a forest disturbance monitoring system using the Landsat archive

FORMS: Forest Multiple Source height, wood volume, and biomass maps in France at 10 to 30 m resolution based on Sentinel-1, Sentinel-2, and Global Ecosystem Dynamics Investigation (GEDI) data with a deep learning approach

Quantifying post-fire shifts in woody-vegetation cover composition in Mediterranean pine forests using Landsat time series and regression-based unmixing

AI4Forest

Research Areas

Contact Principal Investigators