Articles | Volume 15, issue 11
https://doi.org/10.5194/essd-15-4927-2023
https://doi.org/10.5194/essd-15-4927-2023
Data description paper
 | 
02 Nov 2023
Data description paper |  | 02 Nov 2023

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

Martin Schwartz, Philippe Ciais, Aurélien De Truchis, Jérôme Chave, Catherine Ottlé, Cedric Vega, Jean-Pierre Wigneron, Manuel Nicolas, Sami Jouaber, Siyu Liu, Martin Brandt, and Ibrahim Fayad

Data sets

FORMS: FORest Multiple Sources height, biomass and wood volume maps M. Schwartz, P. Ciais, A. De Truchis, J. Chave, C. Ottlé, C. Vega, J. P. Wigneron, M. Nicolas, S. Jouaber, S. Liu, M. Brandt, and I. Fayad https://doi.org/10.5281/zenodo.7840108

Download
Short summary
As forests play a key role in climate-related issues, their accurate monitoring is critical to reduce global carbon emissions effectively. Based on open-access remote-sensing sensors, and artificial intelligence methods, we created high-resolution tree height, wood volume, and biomass maps of metropolitan France that outperform previous products. This study, based on freely available data, provides essential information to support climate-efficient forest management policies at a low cost.
Altmetrics
Final-revised paper
Preprint