6533b7d8fe1ef96bd1269749
RESEARCH PRODUCT
Surface soil moisture retrieval using L-band SMAP SAR data and its validation
Aaron A. BergSermsak JaruwatanadilokJeffrey P. WalkerLeung TsangTodd G. CaldwellSeung-bum KimErnesto Lopez-baezaM. ThibeaultMichael H. CoshAndreas CollianderScott DunbarMahta MoghaddamSimon YuehThomas J. JacksonJ.j. Van ZylJoel T. JohnsonRichard WestDara Entekhabisubject
Biomass (ecology)L band0211 other engineering and technologiesSoil science02 engineering and technologyVegetationSurface finishlaw.inventionlawSurface roughnessEnvironmental scienceRadarAbsorption (electromagnetic radiation)Water content021101 geological & geomatics engineeringRemote sensingdescription
Surface soil moisture was retrieved globally by systematically correcting for the effects of vegetation and soil surface roughness. The retrieval is enabled by employing physical-models of radar forward scattering for individual vegetation types to account for vegetation scattering and absorption, and by constraining the surface roughness effect using time-series observations. The L-band SMAP multi-polarized (HH/VV/HV) σ° data acquired globally every three days were used from mid-April to early July, 2015. Assessment was conducted over 13 rigorously-chosen core validation sites covering a wide range of biomass types, biomass amount, and soil conditions. The soil moisture retrieval reached an accuracy of 0.06 m3/m3 RMSE, a bias of 0.003 m3/m3, and a correlation of 0.56. The successful retrieval demonstrates that the physically-based retrieval method is capable of characterizing soil moisture over diverse conditions of soil moisture, surface roughness, and vegetation on a global scale.
year | journal | country | edition | language |
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2016-07-01 | 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) |