SMOS soil moisture product evaluation over West-Africa from local to regional scale

被引：45

作者：

Louvet, Samuel ^{[1
]}

Pellarin, Thierry ^{[1
,2
]}

al Bitar, Ahmad ^{[4
]}

Cappelaere, Bernard ^{[5
]}

Galle, Sylvie ^{[1
,3
]}

Grippa, Manuela ^{[6
]}

Gruhier, Claire ^{[4
]}

Kerr, Yann ^{[4
]}

Lebel, Thierry ^{[1
,3
]}

Mialon, Arnaud ^{[4
]}

Mougin, Eric

Quantin, Guillaume ^{[1
]}

Richaume, Philippe ^{[4
]}

de Rosnay, Patricia ^{[7
]}

机构：

[1] Univ Grenoble Alpes, LTHE, F-38000 Grenoble, France

[2] CNRS, LTHE, F-38000 Grenoble, France

[3] IRD, LTHE, F-38000 Grenoble, France

[4] CNES CNRS IRD UPS, OMP, Ctr Etud Spatiales BIOsphere CESBIO, Toulouse, France

[5] CNRS IRD UM1 UM2, Hydrosci Montpellier HSM, IRD, Montpellier, France

[6] CNRS IRD UPS, GET, Observ Midi Pyrenees, UMR 5563, F-3100 Toulouse, France

[7] European Ctr Medium Range Weather Forecasts ECMWF, Reading, Berks, England

来源：

REMOTE SENSING OF ENVIRONMENT | 2015年 / 156卷

关键词：

SMOS; Remote sensing; Soil moisture; West-Africa; Rainfall estimation; PASSIVE MICROWAVE; AMSR-E; BRIGHTNESS TEMPERATURE; LAND-SURFACE; IN-SITU; VALIDATION; RETRIEVAL; SYSTEM; CALIBRATION; MALI;

D O I：

10.1016/j.rse.2014.10.005

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

This paper assessed the SMOS soil moisture values from Level 3 (SMOS L3SM) product provided by the French CNES-CATDS. The evaluation was conducted at the local scale through comparison with ground-based soil moisture measurements acquired in Mali, Niger and Benin from 2010 to 2012. The SMOS L3SM product was compared to three other satellite-based soil moisture products. It was found that, in average over the three sites, the SMOS L3SM product provided the best coefficients of correlation and the lowest root mean square errors (RMSE). The second part of the paper is devoted to retrieve soil moisture estimates between successive SMOS soil moisture measurements in order to increase the temporal resolution. The result of the methodology allows obtaining 3-hour soil moisture mapping over West Africa with a coefficient of correlation greater than 0.82, and an RMSE lower than 0.030 m(3) m(-3) in Niger and Mali and lower than 0.044 m(3) m(-3) in Benin. (C) 2014 Elsevier Inc. All rights reserved.

引用

页码：383 / 394

页数：12

共 59 条

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