Back to Search Start Over

Performance des données GNSS-R FLORI pour l'estimation de la biomasse sur la foret des Landes

Authors :
Mehrez Zribi
Sylvia Dayau
Erwan Motte
Nazzareno Pierdicca
Jean-Pierre Wigneron
Nicolas Baghdadi
Dominique Guyon
Centre d'études spatiales de la biosphère (CESBIO)
Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-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)
Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)
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)
Écologie fonctionnelle et physique de l'environnement (EPHYSE)
Institut National de la Recherche Agronomique (INRA)
Territoires, Environnement, Télédétection et Information Spatiale (UMR TETIS)
Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-AgroParisTech-Centre National de la Recherche Scientifique (CNRS)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)
Source :
International Journal of Applied Earth Observation and Geoinformation, International Journal of Applied Earth Observation and Geoinformation, Elsevier, 2019, 74, pp.150-158. ⟨10.1016/j.jag.2018.09.010⟩
Publication Year :
2019
Publisher :
HAL CCSD, 2019.

Abstract

The Above-Ground Biomass (AGB) is a key parameter used for the modeling of the carbon cycle. The aim of this study is to make an experimental assessment of the sensitivity of Global Navigation Satellite System (GNSS) reflected signals to forest AGB. This is based on the analysis of the data recorded during several GLORI airborne campaigns in June and July 2015, over the Landes Forest (France). Ground truth measurements of tree height, density and diameter at breast height (DBH), as well as AGB, were carried out for 100 maritime pine forest plots of various ages. The GNSS-R data were used to obtain the right-left (ΓRL) and right-right (ΓRR) reflectivity observables, which are geo-referenced in accordance with the known positions of relevant GPS satellites and the airborne receiver. The correlations between forest AGB and the GNSS-R observables yield the highest sensitivity at high elevation angles (70°-90°). In this case, for (ΓRL) and the reflectivity polarization ratio (PR = ΓRL/ΓRR) estimated with a coherent integration time Tc = 20 ms, the coefficients of determination R2 are equal to 0.67 and 0.51, with a sensitivity of −0.051 dB/[106g (Mg) ha−1], and −0.053 dB/[Mg ha−1], respectively. The relationships between AGB and the observables are confirmed through the use of a 5-fold cross validation approach, with several different coherent integration times.

Details

Language :
English
ISSN :
03032434
Database :
OpenAIRE
Journal :
International Journal of Applied Earth Observation and Geoinformation, International Journal of Applied Earth Observation and Geoinformation, Elsevier, 2019, 74, pp.150-158. ⟨10.1016/j.jag.2018.09.010⟩
Accession number :
edsair.doi.dedup.....32303b669ab47184814598856a8ffac0