Performance of GNSS-R GLORI data for biomass estimation over the Landes forest

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

Mehrez Zribi (1) , Dominique Guyon (2) , Erwan Motte (1) , Sylvia Dayau (2) , Jean Pierre Wigneron (3) , Nicolas Baghdadi (4) , Nazzareno Pierdicca

1 CESBIO - Centre d'études spatiales de la biosphère
2 UMR ISPA - Interactions Sol Plante Atmosphère
3 EPHYSE - Écologie fonctionnelle et physique de l'environnement
4 UMR TETIS - Territoires, Environnement, Télédétection et Information Spatiale

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 and right-right reflectivity observables, which are geo-referenced in accordance with the known positions of relevant GPS satellites and the airborne receiver.

Mots clés: GNSS-R

Mots clés: ABOVE GROUND BIOMASS; LANDES FOREST

Mots clés: LANDES

Mots clés: MARITIME PINE

Domaines: Sciences de l'environnement; Ingénierie de l'environnement; Interfaces continentales, environnement; Sciences de la Terre

Mehrez Zribi, Dominique Guyon, Erwan Motte, Sylvia Dayau, Jean Pierre Wigneron, et al.. Performance of GNSS-R GLORI data for biomass estimation over the Landes forest. International Journal of Applied Earth Observation and Geoinformation, 2019, 74, pp.150-158. ⟨10.1016/j.jag.2018.09.010⟩. ⟨hal-02392295⟩