High Resolution Biomass and Height Maps of the Landes Forest (France) based on GEDI, Sentinel-1 and Sentinel-2 data : a Deep Learning Approach
- ADS bibcode
- 2021AGUFM.B45H1719S
- year
- 2021
- Listed Authors
- Schwartz, Martin
- Ciais, Philippe
- Ottle, Catherine
- Wigneron, Jean-Pierre
- De Truchis, Aurelien
- Li, Sizhuo
- Brandt, Martin
- Fensholt, Rasmus
- D'Aspremont, Alexandre
- Vega, Cedric
- Baghdadi, Nicolas
- Fayad, Ibrahim
- Morneau, Francois
- Guyon, Dominique
- Dayau, Sylvia
- Listed Institutions
- LSCE Laboratoire des Sciences du Climat et de l'Environnement, Gif-Sur-Yvette Cedex, France
- Laboratoire des Sciences du Climat et de l'Environnement, Gif-Sur-Yvette, France
- LSCE Laboratoire des Sciences du Climat et de l'Environnement, Gif-Sur-Yvette Cedex, France
- INRAE Bordeaux-Aquitaine, Villenave d'Ornon Cedex, France
- Kayrros, Paris, France
- University of Copenhagen, Kbenhavn K, Denmark
- University of Copenhagen, Kbenhavn K, Denmark
- University of Copenhagen, Copenhagen, Denmark
- Kayrros, Paris, France
- IGN Institut National de l'Information Geographique et Forestiere, Paris Cedex 13, France
- INRAE, Montpellier, France
- INRAE, Montpellier, France
- IGN Institut National de l'Information Geographique et Forestiere, Paris Cedex 13, France
- INRAE Bordeaux-Aquitaine, Villenave d'Ornon Cedex, France
- INRAE Bordeaux-Aquitaine, Villenave d'Ornon Cedex, France
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Linked Institutions