High-resolution sensors and deep learning models for tree resource monitoring

M Brandt, J Chave, S Li, R Fensholt, P Ciais… - Nature Reviews …, 2024 - nature.com
Trees contribute to carbon dioxide absorption through biomass, regulate the climate, support
biodiversity, enhance soil, air and water quality, and offer economic and health benefits …

Hy-TeC: a hybrid vision transformer model for high-resolution and large-scale map** of canopy height

I Fayad, P Ciais, M Schwartz, JP Wigneron… - Remote Sensing of …, 2024 - Elsevier
Accurate and timely monitoring of forest canopy height is critical for assessing forest
dynamics, biodiversity, carbon sequestration as well as forest degradation and …

[HTML][HTML] 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 …

M Schwartz, P Ciais, A De Truchis… - Earth System …, 2023 - essd.copernicus.org
The contribution of forests to carbon storage and biodiversity conservation highlights the
need for accurate forest height and biomass map** and monitoring. In France, forests are …

Influence of GEDI acquisition and processing parameters on canopy height estimates over tropical forests

K Lahssini, N Baghdadi, G Le Maire, I Fayad - Remote Sensing, 2022 - mdpi.com
LiDAR technology has been widely used to characterize structural parameters of forest
ecosystems, which in turn are valuable information for forest monitoring. GEDI is a …

[HTML][HTML] 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, A De Truchis… - International Journal of …, 2024 - Elsevier
In intensively managed forests in Europe, where forests are divided into stands of small size
and may show heterogeneity within stands, a high spatial resolution (10–––20 m) is needed …

[HTML][HTML] Assessing GEDI-NASA system for forest fuels classification using machine learning techniques

R Hoffrén, MT Lamelas, J de la Riva, D Domingo… - International Journal of …, 2023 - Elsevier
Identification of forest fuels is a key step for forest fire prevention since they provide valuable
information of fire behavior. This study assesses NASA's Global Ecosystem Dynamics …

Mixed tropical forests canopy height map** from spaceborne LiDAR GEDI and multisensor imagery using machine learning models

R Gupta, LK Sharma - Remote Sensing Applications: Society and …, 2022 - Elsevier
Spatial map** of forests canopy height (Hcanopy) provides an opportunity to assess
above-ground biomass, net primary productivity, carbon dioxide (CO 2) sequestration …

Improving heterogeneous forest height maps by integrating GEDI-based forest height information in a multi-sensor map** process

D Morin, M Planells, N Baghdadi, A Bouvet, I Fayad… - Remote Sensing, 2022 - mdpi.com
Forests are one of the key elements in ecological transition policies in Europe. Sustainable
forest management is needed in order to optimise wood harvesting, while preserving carbon …

Spaceborne LiDAR for characterizing forest structure across scales in the European Alps

L Mandl, A Stritih, R Seidl, C Ginzler… - Remote Sensing in …, 2023 - Wiley Online Library
The launch of NASA's Global Ecosystem Dynamics Investigation (GEDI) mission in 2018
opens new opportunities to quantitatively describe forest ecosystems across large scales …

Tropical forest vertical structure characterization: From GEDI to P-band SAR tomography

YN Ngo, Y Huang, DHT Minh… - … and Remote Sensing …, 2022 - ieeexplore.ieee.org
Estimating tropical forests' vertical structure using remote sensing is a challenge. Active
sensors such as low-frequency synthetic aperture radar (SAR) operating at the P-band, with …