Articles | Volume 15, issue 11
https://doi.org/10.5194/essd-15-4927-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-15-4927-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
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
CORRESPONDING AUTHOR
Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris Saclay, 91191 Gif-sur-Yvette, France
Philippe Ciais
Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris Saclay, 91191 Gif-sur-Yvette, France
Aurélien De Truchis
Kayrros SAS, 75009 Paris, France
Jérôme Chave
Laboratoire Evolution et Diversité Biologique, CNRS, UPS, IRD, Université Paul Sabatier, Toulouse, France
Catherine Ottlé
Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris Saclay, 91191 Gif-sur-Yvette, France
Cedric Vega
IGN, Laboratoire d'Inventaire Forestier, 54000 Nancy, France
Jean-Pierre Wigneron
ISPA, UMR 1391, INRAE Nouvelle-Aquitaine, Bordeaux Villenave d'Ornon, France
Manuel Nicolas
Office national des forêts, département Recherche-développement-innovation, Boulevard de Constance, 77300 Fontainebleau, France
Sami Jouaber
Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris Saclay, 91191 Gif-sur-Yvette, France
Siyu Liu
Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
Martin Brandt
Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
Ibrahim Fayad
Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris Saclay, 91191 Gif-sur-Yvette, France
Kayrros SAS, 75009 Paris, France
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
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.
As forests play a key role in climate-related issues, their accurate monitoring is critical to...
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