Adaptation of the SMOS soil moisture retrieval algorithm for organic-rich soils and its validation over various Northern sites

• Main Authors: Bircher, Simone, Richaume, Philippe, Mahmoodi, Ali, Demontoux, François, Ikonen, Jaakko, Rautiainen, Kimmo, Vehviläinen, Juho, Moreaux, Virginie, Kim, Yongwon, Lee, Bang-Yong, Suzuki, Rikie, Ikawa, Hiroki, Oechel, Walter, Belelli Marchesini, Luca, Dolman, Han, Berg, Aaron, Jonard, François, Weihermüller, Lutz, Andreasen, Mie, Schwank, Mike, Wigneron, Jean-Pierre, Kerr, Yann H.
• Other Authors: Centre d'études spatiales de la biosphère (CESBIO), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Laboratoire de l'intégration, du matériau au système (IMS), Université Sciences et Technologies - Bordeaux 1 (UB)-Institut Polytechnique de Bordeaux-Centre National de la Recherche Scientifique (CNRS), Finnish Meteorological Institute (FMI), Ecologie et Ecophysiologie Forestières devient SILVA en 2018 (EEF), Institut National de la Recherche Agronomique (INRA)-Université de Lorraine (UL), International Arctic Research Center (IARC), University of Alaska Fairbanks (UAF), Arctic Research Centre of Finnish Meteorological Institute, Korea Polar Research Institute (KOPRI), Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Agro-Meteorology Division, National Institute of Agro-Environmental Sciences (NIAES), Global Change Research Group, South African National Biodiversity Institute, Vrije Universiteit Amsterdam Amsterdam (VU), University of Guelph, Institute of Bio- and Geosciences Agrosphere (IBG-3), Department of Geosciences and Natural Resource Management Copenhagen (IGN), Faculty of Science Copenhagen, University of Copenhagen = Københavns Universitet (UCPH)-University of Copenhagen = Københavns Universitet (UCPH), Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Interactions Sol Plante Atmosphère (UMR ISPA), Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Supérieure des Sciences Agronomiques de Bordeaux-Aquitaine (Bordeaux Sciences Agro)
• Format: Conference Object
• Language: English
• Published: HAL CCSD 2016
• Subjects: remote sensing; radiometer; permittivity; projet smos; sol organique; donnée satellite; télédétection; radiomètre; modèle de transfert radiatif; humidité de surface; permittivité diélectrique; [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing; [SDE.MCG]Environmental Sciences/Global Changes; Northern Finland; Siberia
• Online Access: https://hal.science/hal-01594909

From the passive L-band microwave radiometer onboard the Soil Moisture and Ocean Salinity (SMOS) space mission global surface soil moisture data is retrieved every 3 days. Thus far, the empirical L-band Microwave Emission of the Biosphere (L-MEB) radiative transfer model applied in the SMOS soil moisture retrieval algorithm is exclusively calibrated over test sites in dry and temperate climate zones and the included dielectric mixing model relating soil moisture to permittivity accounts only for mineral soils. However, soil moisture monitoring over the higher northern latitudes is crucial since these regions are especially sensitive to climate change and a considerable feedback is expected due to carbon liberated from thawing ground of these extremely organic soils. Due to differing structural characteristics and thus varying bound water fractions, the permittivity of organic material is lower than the one of most mineral soils at a given water content. This assumption was verified by means of measurements in organic and mineral substrates from various sites in Denmark, Finland, Scotland and Siberia. For this purpose, conventional soil moisture sensors were used as well as weak perturbation and waveguide techniques in order to infer effective soil permittivity at the microwave L-band (1-2 GHz). Based on these data, a generic L-band soil moisture – permittivity relation for organic soils was derived and validated with dielectric mixing model runs as well as literature data. Furthermore, the derived function was tested in the L-MEB model. Results showed that modeled data agreed with measurements from a tower-based passive L-band microwave radiometer observing organic-rich soil over a 2 months period in a highly controlled set-up. The generic «organic» empirical model was then implemented in the SMOS Prototype Algorithm to retrieve soil moisture over a site in Northern Finland. The validation with in situ soil moisture observations calibrated for organic soils showed a distinct improvement in the agreement between ...