Articles | Volume 15, issue 14
https://doi.org/10.5194/bg-15-4627-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-15-4627-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
30 Jul 2018
Research article |
| 30 Jul 2018
| 30 Jul 2018
An evaluation of SMOS L-band vegetation optical depth (L-VOD) data sets: high sensitivity of L-VOD to above-ground biomass in Africa
Nemesio J. Rodríguez-Fernández
CORRESPONDING AUTHOR
Centre d'Etudes Spatiales de la Biosphère (CESBIO),
Université de Toulouse, Centre National d'Etudes Spatiales (CNES),
Centre National de la Recherche Scientifique (CNRS), Institut de Recherche pour le Dévelopement (IRD),
Université Paul Sabatier, 18 av. Edouard Belin, bpi 2801, 31401 Toulouse, France
Arnaud Mialon
Centre d'Etudes Spatiales de la Biosphère (CESBIO),
Université de Toulouse, Centre National d'Etudes Spatiales (CNES),
Centre National de la Recherche Scientifique (CNRS), Institut de Recherche pour le Dévelopement (IRD),
Université Paul Sabatier, 18 av. Edouard Belin, bpi 2801, 31401 Toulouse, France
Stephane Mermoz
Centre d'Etudes Spatiales de la Biosphère (CESBIO),
Université de Toulouse, Centre National d'Etudes Spatiales (CNES),
Centre National de la Recherche Scientifique (CNRS), Institut de Recherche pour le Dévelopement (IRD),
Université Paul Sabatier, 18 av. Edouard Belin, bpi 2801, 31401 Toulouse, France
Alexandre Bouvet
Centre d'Etudes Spatiales de la Biosphère (CESBIO),
Université de Toulouse, Centre National d'Etudes Spatiales (CNES),
Centre National de la Recherche Scientifique (CNRS), Institut de Recherche pour le Dévelopement (IRD),
Université Paul Sabatier, 18 av. Edouard Belin, bpi 2801, 31401 Toulouse, France
Philippe Richaume
Centre d'Etudes Spatiales de la Biosphère (CESBIO),
Université de Toulouse, Centre National d'Etudes Spatiales (CNES),
Centre National de la Recherche Scientifique (CNRS), Institut de Recherche pour le Dévelopement (IRD),
Université Paul Sabatier, 18 av. Edouard Belin, bpi 2801, 31401 Toulouse, France
Ahmad Al Bitar
Centre d'Etudes Spatiales de la Biosphère (CESBIO),
Université de Toulouse, Centre National d'Etudes Spatiales (CNES),
Centre National de la Recherche Scientifique (CNRS), Institut de Recherche pour le Dévelopement (IRD),
Université Paul Sabatier, 18 av. Edouard Belin, bpi 2801, 31401 Toulouse, France
Amen Al-Yaari
Interactions Sol Plante Atmosphére (ISPA), Unité Mixte de Recherche 1391, Institut National de la Recherche Agronomique (INRA), CS 20032,
33882 Villenave d'Ornon CEDEX, France
Martin Brandt
Department of Geosciences and Natural Resources Management, University of Copenhagen, 1350 Copenhagen, Denmark
Thomas Kaminski
The inversion Lab, Martinistr. 21, 20251 Hamburg, Germany
Thuy Le Toan
Centre d'Etudes Spatiales de la Biosphère (CESBIO),
Université de Toulouse, Centre National d'Etudes Spatiales (CNES),
Centre National de la Recherche Scientifique (CNRS), Institut de Recherche pour le Dévelopement (IRD),
Université Paul Sabatier, 18 av. Edouard Belin, bpi 2801, 31401 Toulouse, France
Yann H. Kerr
Centre d'Etudes Spatiales de la Biosphère (CESBIO),
Université de Toulouse, Centre National d'Etudes Spatiales (CNES),
Centre National de la Recherche Scientifique (CNRS), Institut de Recherche pour le Dévelopement (IRD),
Université Paul Sabatier, 18 av. Edouard Belin, bpi 2801, 31401 Toulouse, France
Jean-Pierre Wigneron
Interactions Sol Plante Atmosphére (ISPA), Unité Mixte de Recherche 1391, Institut National de la Recherche Agronomique (INRA), CS 20032,
33882 Villenave d'Ornon CEDEX, France
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Most Earth system models make use of vegetation maps to initialize a simulation at global scale. Satellite-based biomass map estimates for Africa were used to estimate cover fractions for the 15 land cover classes. This study successfully demonstrates that satellite-based biomass maps can be used to better constrain vegetation maps. Applying this approach at the global scale would increase confidence in assessments of present-day biomass stocks.
Heye Reemt Bogena, Martin Schrön, Jannis Jakobi, Patrizia Ney, Steffen Zacharias, Mie Andreasen, Roland Baatz, David Boorman, Mustafa Berk Duygu, Miguel Angel Eguibar-Galán, Benjamin Fersch, Till Franke, Josie Geris, María González Sanchis, Yann Kerr, Tobias Korf, Zalalem Mengistu, Arnaud Mialon, Paolo Nasta, Jerzy Nitychoruk, Vassilios Pisinaras, Daniel Rasche, Rafael Rosolem, Hami Said, Paul Schattan, Marek Zreda, Stefan Achleitner, Eduardo Albentosa-Hernández, Zuhal Akyürek, Theresa Blume, Antonio del Campo, Davide Canone, Katya Dimitrova-Petrova, John G. Evans, Stefano Ferraris, Félix Frances, Davide Gisolo, Andreas Güntner, Frank Herrmann, Joost Iwema, Karsten H. Jensen, Harald Kunstmann, Antonio Lidón, Majken Caroline Looms, Sascha Oswald, Andreas Panagopoulos, Amol Patil, Daniel Power, Corinna Rebmann, Nunzio Romano, Lena Scheiffele, Sonia Seneviratne, Georg Weltin, and Harry Vereecken
Earth Syst. Sci. Data, 14, 1125–1151, https://doi.org/10.5194/essd-14-1125-2022, https://doi.org/10.5194/essd-14-1125-2022, 2022
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Monitoring of increasingly frequent droughts is a prerequisite for climate adaptation strategies. This data paper presents long-term soil moisture measurements recorded by 66 cosmic-ray neutron sensors (CRNS) operated by 24 institutions and distributed across major climate zones in Europe. Data processing followed harmonized protocols and state-of-the-art methods to generate consistent and comparable soil moisture products and to facilitate continental-scale analysis of hydrological extremes.
Wouter Dorigo, Irene Himmelbauer, Daniel Aberer, Lukas Schremmer, Ivana Petrakovic, Luca Zappa, Wolfgang Preimesberger, Angelika Xaver, Frank Annor, Jonas Ardö, Dennis Baldocchi, Marco Bitelli, Günter Blöschl, Heye Bogena, Luca Brocca, Jean-Christophe Calvet, J. Julio Camarero, Giorgio Capello, Minha Choi, Michael C. Cosh, Nick van de Giesen, Istvan Hajdu, Jaakko Ikonen, Karsten H. Jensen, Kasturi Devi Kanniah, Ileen de Kat, Gottfried Kirchengast, Pankaj Kumar Rai, Jenni Kyrouac, Kristine Larson, Suxia Liu, Alexander Loew, Mahta Moghaddam, José Martínez Fernández, Cristian Mattar Bader, Renato Morbidelli, Jan P. Musial, Elise Osenga, Michael A. Palecki, Thierry Pellarin, George P. Petropoulos, Isabella Pfeil, Jarrett Powers, Alan Robock, Christoph Rüdiger, Udo Rummel, Michael Strobel, Zhongbo Su, Ryan Sullivan, Torbern Tagesson, Andrej Varlagin, Mariette Vreugdenhil, Jeffrey Walker, Jun Wen, Fred Wenger, Jean Pierre Wigneron, Mel Woods, Kun Yang, Yijian Zeng, Xiang Zhang, Marek Zreda, Stephan Dietrich, Alexander Gruber, Peter van Oevelen, Wolfgang Wagner, Klaus Scipal, Matthias Drusch, and Roberto Sabia
Hydrol. Earth Syst. Sci., 25, 5749–5804, https://doi.org/10.5194/hess-25-5749-2021, https://doi.org/10.5194/hess-25-5749-2021, 2021
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The International Soil Moisture Network (ISMN) is a community-based open-access data portal for soil water measurements taken at the ground and is accessible at https://ismn.earth. Over 1000 scientific publications and thousands of users have made use of the ISMN. The scope of this paper is to inform readers about the data and functionality of the ISMN and to provide a review of the scientific progress facilitated through the ISMN with the scope to shape future research and operations.
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Short summary
Existing global scale above-ground biomass (AGB) maps are made at very high spatial resolution collecting data during several years. In this paper we discuss the use of a new data set from the SMOS satellite: the vegetation optical depth estimated from low microwave frequencies. It is shown that this new data set is highly sensitive to AGB. The spacial resolution of SMOS is coarse (40 km) but the new data set can be used to monitor AGB variations with time due to its high revisit frequency.
Existing global scale above-ground biomass (AGB) maps are made at very high spatial resolution...
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