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Journal article

Surface soil moisture retrieval using optical/thermal infrared remote sensing data

Abstract:

Surface soil moisture (SSM) plays significant roles in various scientific fields, including agriculture, hydrology, meteorology, and ecology. However, the spatial resolutions of microwave SSM products are too coarse for regional applications. Most current optical/thermal infrared SSM retrieval models cannot directly estimate the quantitative volumetric soil water content without establishing empirical relationships between ground-based SSM measurements and satellite-derived proxies of SSM. Th...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Accepted Manuscript

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Publisher copy:
10.1109/TGRS.2018.2817370

Authors


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ORCID:
0000-0002-4578-852X
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Institution:
University of Oxford
Division:
Social Sciences Division
Department:
SOGE; Geography
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Publisher:
Institute of Electrical and Electronics Engineers Publisher's website
Journal:
IEEE Transactions on Geoscience and Remote Sensing Journal website
Volume:
56
Issue:
9
Pages:
5433-5442
Publication date:
2018-08-27
Acceptance date:
2018-03-14
DOI:
EISSN:
1558-0644
ISSN:
0196-2892
Pubs id:
pubs:844756
URN:
uri:bed501e7-2790-4a5b-92a7-de109ec1c1df
UUID:
uuid:bed501e7-2790-4a5b-92a7-de109ec1c1df
Local pid:
pubs:844756

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