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Martin Schwartz, Philippe Ciais, Aurélien De Truchis et al.

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

Published in: Earth system science data : ESSD 15, 11, 2023

Title	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
Involved	Martin Schwartz (Verfasser) Philippe Ciais (Verfasser) Aurélien De Truchis (Verfasser) Jérôme Chave (Verfasser) Catherine Ottlé (Verfasser) Cedric Vega (Verfasser) Jean-Pierre Wigneron (Verfasser) Manuel Nicolas (Verfasser) Sami Jouaber (Verfasser) Siyu Liu (Verfasser) Martin Brandt (Verfasser) Ibrahim Fayad (Verfasser)
Published in	Earth system science data : ESSD 15, 11, 2023, Seite 4927-4945
Published	02.11.2023
Language	Englisch
Country	Deutschland
Topic	Landwirtschaft, Veterinärmedizin
DDC notation	634.92
Persistent identifier	urn:nbn:de:101:1-2023110903340111484244 (URN) 10.5194/essd-15-4927-2023 (DOI)
Record ID	1309151555

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

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