Arid
DOI10.1109/TGRS.2013.2254121
Toward Vicarious Calibration of Microwave Remote-Sensing Satellites in Arid Environments
Ruediger, Christoph1; Walker, Jeffrey P.1; Kerr, Yann H.2; Kim, Edward J.3; Hacker, Joerg M.4; Gurney, Robert J.5; Barrett, Damian6; Le Marshall, John7
通讯作者Ruediger, Christoph
来源期刊IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
ISSN0196-2892
EISSN1558-0644
出版年2014
卷号52期号:3页码:1749-1760
英文摘要

The Soil Moisture and Ocean Salinity (SMOS) satellite marks the commencement of dedicated global surface soil moisture missions, and the first mission to make passive microwave observations at L-band. On-orbit calibration is an essential part of the instrument calibration strategy, but on-board beam-filling targets are not practical for such large apertures. Therefore, areas to serve as vicarious calibration targets need to be identified. Such sites can only be identified through field experiments including both in situ and airborne measurements. For this purpose, two field experiments were performed in central Australia. Three areas are studied as follows: 1) Lake Eyre, a typically dry salt lake; 2) Wirrangula Hill, with sparse vegetation and a dense cover of surface rock; and 3) Simpson Desert, characterized by dry sand dunes. Of those sites, only Wirrangula Hill and the Simpson Desert are found to be potentially suitable targets, as they have a spatial variation in brightness temperatures of <4 K under normal conditions. However, some limitations are observed for the Simpson Desert, where a bias of 15 K in vertical and 20 K in horizontal polarization exists between model predictions and observations, suggesting a lack of understanding of the underlying physics in this environment. Subsequent comparison with model predictions indicates a SMOS bias of 5 K in vertical and 11 K in horizontal polarization, and an unbiased root mean square difference of 10 K in both polarizations for Wirrangula Hill. Most importantly, the SMOS observations show that the brightness temperature evolution is dominated by regular seasonal patterns and that precipitation events have only little impact.


英文关键词Calibration environmental monitoring passive microwave remote sensing soil moisture
类型Article
语种英语
国家Australia ; France ; USA ; England
收录类别SCI-E
WOS记录号WOS:000329404800019
WOS关键词SOIL-MOISTURE RETRIEVAL ; L-BAND ; AMSR-E ; RADIOMETER ; ASSIMILATION ; TEMPERATURE ; PERFORMANCE ; SALINITY ; SYSTEM ; SPACE
WOS类目Geochemistry & Geophysics ; Engineering, Electrical & Electronic ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology
来源机构French National Research Institute for Sustainable Development ; Commonwealth Scientific and Industrial Research Organisation
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/182554
作者单位1.Univ Melbourne, Dept Civil & Environm Engn, Parkville, Vic 3010, Australia;
2.CESBIO, Ctr Etud Spatiales Biosphere, F-31401 Toulouse, France;
3.NASA, Goddard Space Flight Ctr, Greenbelt, MD 20771 USA;
4.Flinders Univ S Australia, Airborne Res Australia, Adelaide, SA 5106, Australia;
5.Univ Reading, NERC Environm Syst Sci Ctr, Reading RG6 6UR, Berks, England;
6.Commonwealth Sci & Ind Res Org, Land & Water, Canberra, ACT 2601, Australia;
7.Bur Meteorol, Bur Meteorol Res Ctr, Melbourne, Vic 3000, Australia
推荐引用方式
GB/T 7714
Ruediger, Christoph,Walker, Jeffrey P.,Kerr, Yann H.,et al. Toward Vicarious Calibration of Microwave Remote-Sensing Satellites in Arid Environments[J]. French National Research Institute for Sustainable Development, Commonwealth Scientific and Industrial Research Organisation,2014,52(3):1749-1760.
APA Ruediger, Christoph.,Walker, Jeffrey P..,Kerr, Yann H..,Kim, Edward J..,Hacker, Joerg M..,...&Le Marshall, John.(2014).Toward Vicarious Calibration of Microwave Remote-Sensing Satellites in Arid Environments.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,52(3),1749-1760.
MLA Ruediger, Christoph,et al."Toward Vicarious Calibration of Microwave Remote-Sensing Satellites in Arid Environments".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 52.3(2014):1749-1760.
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