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dc.contributor.authorDas, Narendra
dc.contributor.authorKonings, Alexandra G
dc.contributor.authorPiles Guillem, Maria
dc.contributor.authorEntekhabi, Dara
dc.date.accessioned2018-08-06T16:01:18Z
dc.date.available2018-08-06T16:01:18Z
dc.date.issued2017-07
dc.date.submitted2017-06
dc.identifier.issn00344257
dc.identifier.urihttp://hdl.handle.net/1721.1/117279
dc.description.abstractOver land the vegetation canopy affects the microwave brightness temperature by emission, scattering and attenuation of surface soil emission. Attenuation, as represented by vegetation optical depth (VOD), is a potentially useful ecological indicator. The NASA Soil Moisture Active Passive (SMAP) mission carries significant potential for VOD estimates because of its radio frequency interference mitigation efforts and because the L-band signal penetrates deeper into the vegetation canopy than the higher frequency bands used for many previous VOD retrievals. In this study, we apply the multi-temporal dual-channel retrieval algorithm (MT-DCA) to derive global VOD, soil moisture, and effective scattering albedo estimates from SMAP Backus-Gilbert enhanced brightness temperatures posted on a 9 km grid and with three day revisit time. SMAP VOD values from the MT-DCA follow expected global distributions and are shown to be highly correlated with canopy height. They are also broadly similar in magnitude (though not always in seasonal amplitude) to European Space Agency Soil Moisture and Ocean Salinity (SMOS) VOD. The SMOS VOD values are based on angular brightness temperature information while the SMAP measurements are at a constant incidence angle, requiring an alternate approach to VOD retrieval presented in this study. Globally, albedo values tend to be high over regions with heterogeneous land cover types. The estimated effective scattering albedo values are generally higher than those used in previous soil moisture estimation algorithms and linked to biome classifications. MT-DCA retrievals of soil moisture show only small random differences with soil moisture retrievals from the Baseline SMAP algorithm, which uses a prior estimate of VOD based on land cover and optical data. However, significant biases exist between the two datasets. The soil moisture biases follow the pattern of differences between the MT-DCA retrieved and Baseline-assigned VOD values.en_US
dc.publisherElsevier BVen_US
dc.relation.isversionofhttp://dx.doi.org/10.1016/J.RSE.2017.06.037en_US
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivs Licenseen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.sourceElsevieren_US
dc.titleL-band vegetation optical depth and effective scattering albedo estimation from SMAPen_US
dc.typeArticleen_US
dc.identifier.citationKonings, Alexandra G., Maria Piles, Narendra Das, and Dara Entekhabi. “L-Band Vegetation Optical Depth and Effective Scattering Albedo Estimation from SMAP.” Remote Sensing of Environment 198 (September 2017): 460–470.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Civil and Environmental Engineeringen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciencesen_US
dc.contributor.mitauthorKonings, Alexandra G
dc.contributor.mitauthorPiles Guillem, Maria
dc.contributor.mitauthorEntekhabi, Dara
dc.relation.journalRemote Sensing of Environmenten_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2018-08-02T14:52:12Z
dspace.orderedauthorsKonings, Alexandra G.; Piles, Maria; Das, Narendra; Entekhabi, Daraen_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0002-2810-1722
dc.identifier.orcidhttps://orcid.org/0000-0002-0369-5894
dc.identifier.orcidhttps://orcid.org/0000-0002-8362-4761
mit.licensePUBLISHER_CCen_US


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