Articles | Volume 17, issue 3
https://doi.org/10.5194/essd-17-1101-2025
https://doi.org/10.5194/essd-17-1101-2025
Data description paper
 | 
17 Mar 2025
Data description paper |  | 17 Mar 2025

Aboveground biomass dataset from SMOS L-band vegetation optical depth and reference maps

Simon Boitard, Arnaud Mialon, Stéphane Mermoz, Nemesio J. Rodríguez-Fernández, Philippe Richaume, Julio César Salazar-Neira, Stéphane Tarot, and Yann H. Kerr

Related authors

An operational SMOS soil freeze-thaw product
Kimmo Rautiainen, Manu Holmberg, Juval Cohen, Arnaud Mialon, Mike Schwank, Juha Lemmetyinen, Antonio de la Fuente, and Yann Kerr
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-68,https://doi.org/10.5194/essd-2025-68, 2025
Revised manuscript accepted for ESSD
Short summary
A comprehensive land-surface vegetation model for multi-stream data assimilation, D&B v1.0
Wolfgang Knorr, Matthew Williams, Tea Thum, Thomas Kaminski, Michael Voßbeck, Marko Scholze, Tristan Quaife, T. Luke Smallman, Susan C. Steele-Dunne, Mariette Vreugdenhil, Tim Green, Sönke Zaehle, Mika Aurela, Alexandre Bouvet, Emanuel Bueechi, Wouter Dorigo, Tarek S. El-Madany, Mirco Migliavacca, Marika Honkanen, Yann H. Kerr, Anna Kontu, Juha Lemmetyinen, Hannakaisa Lindqvist, Arnaud Mialon, Tuuli Miinalainen, Gaétan Pique, Amanda Ojasalo, Shaun Quegan, Peter J. Rayner, Pablo Reyes-Muñoz, Nemesio Rodríguez-Fernández, Mike Schwank, Jochem Verrelst, Songyan Zhu, Dirk Schüttemeyer, and Matthias Drusch
Geosci. Model Dev., 18, 2137–2159, https://doi.org/10.5194/gmd-18-2137-2025,https://doi.org/10.5194/gmd-18-2137-2025, 2025
Short summary
Retrieving frozen ground surface temperature under the snowpack in Arctic permafrost area from SMOS observations
Juliette Ortet, Arnaud Mialon, Alain Royer, Mike Schwank, Manu Holmberg, Kimmo Rautiainen, Simone Bircher-Adrot, Andreas Colliander, Yann Kerr, and Alexandre Roy
EGUsphere, https://doi.org/10.5194/egusphere-2024-3963,https://doi.org/10.5194/egusphere-2024-3963, 2025
Short summary
Advanced Bayesian Method for Timely Small-Scale Forest Loss Detection in the Brazilian Amazon and Cerrado with Sentinel-1 Time-Series
Marta Bottani, Laurent Ferro-Famil, Juan Doblas, Stéphane Mermoz, Alexandre Bouvet, and Thierry Koleck
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-3-2024, 43–49, https://doi.org/10.5194/isprs-archives-XLVIII-3-2024-43-2024,https://doi.org/10.5194/isprs-archives-XLVIII-3-2024-43-2024, 2024
DETER-RT: The new INPE-TropiSCO deforestation monitoring system in the Amazon biome
Juan Doblas, Mariane Souza Reis, Stéphane Mermoz, Claudio Aparecido Almeida, Thierry Koleck, Cassiano Gustavo Messias, Luciana Soler, Alexandre Bouvet, and Sidnei J. S. Sant’Anna
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-3-2024, 127–133, https://doi.org/10.5194/isprs-archives-XLVIII-3-2024-127-2024,https://doi.org/10.5194/isprs-archives-XLVIII-3-2024-127-2024, 2024

Related subject area

Domain: ESSD – Land | Subject: Land Cover and Land Use
Global agricultural lands in the year 2015
Zia Mehrabi, Kaitai Tong, Julie Fortin, Radost Stanimirova, Mark Friedl, and Navin Ramankutty
Earth Syst. Sci. Data, 17, 3473–3496, https://doi.org/10.5194/essd-17-3473-2025,https://doi.org/10.5194/essd-17-3473-2025, 2025
Short summary
The GIEMS-MethaneCentric database: a dynamic and comprehensive global product of methane-emitting aquatic areas
Juliette Bernard, Catherine Prigent, Carlos Jimenez, Etienne Fluet-Chouinard, Bernhard Lehner, Elodie Salmon, Philippe Ciais, Zhen Zhang, Shushi Peng, and Marielle Saunois
Earth Syst. Sci. Data, 17, 2985–3008, https://doi.org/10.5194/essd-17-2985-2025,https://doi.org/10.5194/essd-17-2985-2025, 2025
Short summary
An annual 30 m cultivated-pasture dataset of the Tibetan Plateau from 1988 to 2021
Binghong Han, Jian Bi, Shengli Tao, Tong Yang, Yongli Tang, Mengshuai Ge, Hao Wang, Zhenong Jin, Jinwei Dong, Zhibiao Nan, and Jin-Sheng He
Earth Syst. Sci. Data, 17, 2933–2952, https://doi.org/10.5194/essd-17-2933-2025,https://doi.org/10.5194/essd-17-2933-2025, 2025
Short summary
GloUCP: a global 1 km spatially continuous urban canopy parameters for the WRF model
Weilin Liao, Yanman Li, Xiaoping Liu, Yuhao Wang, Yangzi Che, Ledi Shao, Guangzhao Chen, Hua Yuan, Ning Zhang, and Fei Chen
Earth Syst. Sci. Data, 17, 2535–2551, https://doi.org/10.5194/essd-17-2535-2025,https://doi.org/10.5194/essd-17-2535-2025, 2025
Short summary
CCD-Rice: a long-term paddy rice distribution dataset in China at 30 m resolution
Ruoque Shen, Qiongyan Peng, Xiangqian Li, Xiuzhi Chen, and Wenping Yuan
Earth Syst. Sci. Data, 17, 2193–2216, https://doi.org/10.5194/essd-17-2193-2025,https://doi.org/10.5194/essd-17-2193-2025, 2025
Short summary

Cited articles

Al Bitar, A., Mialon, A., Kerr, Y. H., Cabot, F., Richaume, P., Jacquette, E., Quesney, A., Mahmoodi, A., Tarot, S., Parrens, M., Al-Yaari, A., Pellarin, T., Rodriguez-Fernandez, N., and Wigneron, J.-P.: The global SMOS Level 3 daily soil moisture and brightness temperature maps, Earth Syst. Sci. Data, 9, 293–315, https://doi.org/10.5194/essd-9-293-2017, 2017. a, b, c
Avitabile, V., Herold, M., Heuvelink, G., Lewis, S. L., Phillips, O. L., Asner, G. P., Armston, J., Ashton, P. S., Banin, L., Bayol, N., and Berry, N. J.: An integrated pan-tropical biomass map using multiple reference datasets, Global Change Biol., 22, 1406–1420, https://doi.org/10.1111/gcb.13139, 2016. a, b, c, d, e, f, g, h, i
Baccini, A., Goetz, S. J., Walker, W. S., Laporte, N. T., Sun, M., Sulla-Menashe, D., Hackler, J., Beck, P. S. A., Dubayah, R., Friedl, M. A., Samanta, S., and Houghton, R. A.: Estimated carbon dioxide emissions from tropical deforestation improved by carbon-density maps, Nat. Clim. Change, 2, 182–185, 2012.  a, b
Baret, F. and Guyot, G.: Potentials and limits of vegetation indices for LAI and APAR assessment, Remote Sens. Environ., 35, 161–173, https://doi.org/10.1016/0034-4257(91)90009-U, 1991. a
Boitard, S., Mialon, A., Rodriguez-Fernandez, N., Richaume, P., Salazar Neira, J. C., and Kerr, Y. H.: Technical Note: AGB and TH estimation from SMOS LVOD, Tech. rep., Centre d'Etudes Spatiales de la Biosphère, Université de Toulouse, CNES/CNRS/IRD/UPS, https://data.catds.fr/cecsm/Land_products/L4_Above_Ground_Biomass/documentation/NT_AGB_maps_from_VOD.pdf (last access: 8 November 2024), 2023. a
Download
Short summary
Aboveground biomass (AGB) is a critical component of the Earth's carbon cycle. The presented dataset aims to help monitor this essential climate variable with AGB time series from 2011 onward, derived with a carefully calibrated spatial relationship between the measurements of the Soil Moisture and Ocean Salinity (SMOS) mission and pre-existing AGB maps. The produced dataset has been extensively compared with other available AGB time series and can be used in AGB studies.
Share
Altmetrics
Final-revised paper
Preprint