Soil moisture estimation using CYGNSS constellation

Mehrez Zribi (1) , Mireille Huc (1) , Sebastian Antokoletz (1) , Michel Le Page (1) , Nazzareno Pierdicca (2) , Nicolas S Baghdadi (3)

1 CESBIO - Centre d'études spatiales de la biosphère
2 UNIROMA - Università degli Studi di Roma "La Sapienza" = Sapienza University [Rome]
3 UMR TETIS - Territoires, Environnement, Télédétection et Information Spatiale

The main objective of this study is to propose an inversion algorithm for the estimation of soil moisture from CYGNSS data. The algorithm based on the change detection technique is applied to CYGNSS data after several corrections taking in account the incidence effects as well as different noises. The algorithm is validated on a one study site in North Africa. Comparisons with field data and ASCAT products illustrate a strong potential for CYGNSS products.

Mots clés: GNSS-R

Domaines: Sciences de l'environnement; Ingénierie de l'environnement

Mehrez Zribi, Mireille Huc, Sebastian Antokoletz, Michel Le Page, Nazzareno Pierdicca, et al.. Soil moisture estimation using CYGNSS constellation. International Geoscience and Remote Sensing Symposuim, Jul 2019, Yokohama, Japan. pp.7014-7017. ⟨hal-02395380⟩