%0 Journal Article
%9 ACL : Articles dans des revues avec comité de lecture répertoriées par l'AERES
%A Ouaadi, N.
%A Jarlan, Lionel
%A Ezzahar, J.
%A Zribi, M.
%A Khabba, S.
%A Bouras, E.
%A Frison, Pierre-Louis
%T Surface soil moisture retrieval over irrigated wheat crops in semi-arid areas using sentinel-1 data
%B 2020 Mediterranean and Middle-East Geoscience and Remote Sensing Symposium (M2GARSS)
%C Pïscataway
%D 2020
%L fdi:010084419
%G ENG
%I IEEE
%@ 978-1-7281-2191-8
%K MAROC
%K HAOUZ PLAINE
%M ISI:000604612500049
%P 212-215
%R 10.1109/M2GARSS47143.2020.9105282
%U https://www.documentation.ird.fr/hor/fdi:010084419
%> https://www.documentation.ird.fr/intranet/publi/2023-04/010084419.pdf
%W Horizon (IRD)
%X The sensitivity of the backscattering coefficient and the interferometric coherence to surface soil moisture changes and wheat crops growth was analyzed using the time series derived from C-band Sentinel-1. Results show that the interferometric coherence is sensitive to wheat biomass while the backscatter intensity is more influenced by the surface soil moisture (SSM) changes. A new method to retrieve SSM combining the interferometric coherence and C-band backscattering coefficient acquired by Sentinel-1 is tested over two irrigated wheat plots during two growth seasons around Marrakech city (center of Morocco). It is shown that SSM can be estimated with a reasonable accuracy from sowing to harvest (R=0.65; RMSE =0.07m3/m3; bias =0.01m3/m3). These results enhance the potentialities of Sentinel1 data for SSM retrieval even in the presence of a dense canopy
%B M2GARSS.Mediterranean and Middle-East Geoscience and Remote Sensing Symposium 
%8 2020/03/09-11
%$ 068 ; 076 ; 126