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A Comparison of Two Soil Moisture Products S2MP and Copernicus-SSM Over Southern France.

Authors :
Bazzi, Hassan
Baghdadi, Nicolas
El Hajj, Mohammad
Zribi, Mehrez
Belhouchette, Hatem
Source :
IEEE Journal of Selected Topics in Applied Earth Observations & Remote Sensing; Sep2019, Vol. 12 Issue 9, p3366-3375, 10p
Publication Year :
2019

Abstract

This paper presents a comparison between the Sentinel-1/Sentinel-2-derived soil moisture product at plot scale (S2MP) and the new Copernicus surface soil moisture (C-SSM) product at 1-km scale over a wide region in southern France. In this study, both products were first evaluated using in situ measurements obtained by the calibrated time delay reflectometer in field campaigns. The accuracy against the in situ measurements was defined by the correlation coefficient R, the root mean square difference (RMSD), and the bias and the unbiased root mean square difference (ubRMSD). Then, the soil moisture estimations from both SSM products were intercompared over one year (October 2016–October 2017). Both products show generally good agreement with in situ measurements. The results show that using in situ measurements collected over agricultural areas and grasslands, the accuracy of the C-SSM is good (RMSD = 6.0 vol%, ubRMSD = 6.0 vol%, and R = 0.48) but less accurate than the S2MP (RMSD = 4.0 vol%, ubRMSD = 3.9 vol%, and R = 0.77). The intercomparison between the two SSM products over one year shows that both products are highly correlated over agricultural areas that are mainly used for cereals (R value between 0.5 and 0.9 and RMSE between 4 and 6 vol%). Over areas containing forests and vineyards, the C-SSM values tend to overestimate the S2MP values (bias > 5 vol%). In the case of well-developed vegetation cover, the S2MP does not provide SSM estimations while C-SSM sometimes provides underestimated SSM values. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
19391404
Volume :
12
Issue :
9
Database :
Complementary Index
Journal :
IEEE Journal of Selected Topics in Applied Earth Observations & Remote Sensing
Publication Type :
Academic Journal
Accession number :
138959711
Full Text :
https://doi.org/10.1109/JSTARS.2019.2927430