A First Assessment of the SMOS Soil Moisture Product With In Situ and Modeled Data in Italy and Luxembourg

被引:69
作者
Lacava, Teodosio [1 ]
Matgen, Patrick [2 ]
Brocca, Luca [3 ]
Bittelli, Marco [4 ]
Pergola, Nicola [1 ]
Moramarco, Tommaso [3 ]
Tramutoli, Valerio [5 ]
机构
[1] Natl Res Council CNR, Inst Methodol Environm Anal IMAA, I-85050 Potenza, Italy
[2] Ctr Rech Publ Gabriel Lippmann, L-4422 Belvaux, Luxembourg
[3] Natl Res Council CNR, Res Inst Geohydrol Protect IRPI, I-06128 Perugia, Italy
[4] Univ Bologna, Dept Agroenvironm Sci & Technol, I-40126 Bologna, Italy
[5] Univ Basilicata, Dept Engn & Phys Environm DIFA, I-85100 Potenza, Italy
来源
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING | 2012年 / 50卷 / 05期
关键词
Remote sensing; soil moisture (SM); Soil Moisture and Ocean Salinity (SMOS); validation; RUNOFF GENERATION PROCESSES; ERS SCATTEROMETER; WETNESS INDEX; VALIDATION; SURFACE; ASSIMILATION; RFI;
D O I
10.1109/TGRS.2012.2186819
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
The European Space Agency Soil Moisture and Ocean Salinity (SMOS) mission was launched on November 2, 2009. Providing accurate soil moisture (SM) estimation is one of its main scientific objectives. Since the end of the commissioning phase, preliminary global SMOS SM data [Level 2 (L2) product] are distributed to users. In this paper, we carried out a first assessment of the reliability of this product through a comparison with in situ observed and modeled SM over three different sites: One is located in Luxemburg, and two are located in Italy. The period from August 1, 2010, to July 1, 2011, has been analyzed, giving us the opportunity to evaluate the satellite response to different SM states. The selected period is important for hydrological predictions as it is typically characterized by a sequence of transitions from dry to wet and from wet to dry conditions. In order to compare SMOS and ground SM measurements, a two-step approach has been applied. First, an exponential filter has been applied to approximate root-zone SM, and second, a cumulative distribution function matching has been employed to remove systematic differences between satellite and in situ observations and model simulations of SM. Our results indicate rather good reliability of the filtered and bias-corrected SM estimates derived from the first SMOS L2 products. Bearing in mind that an updated/advanced version of the SMOS SM product has been recently produced, our preliminary results already seem to confirm the potential of SMOS for monitoring of water in soils.
引用
收藏
页码:1612 / 1622
页数:11
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