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dc.contributor.authorYang, Binen_US
dc.contributor.authorKnyazikhin, Yurien_US
dc.contributor.authorZhao, Haimengen_US
dc.contributor.authorMa, Yuzhongen_US
dc.date.accessioned2019-02-08T19:49:32Z
dc.date.available2019-02-08T19:49:32Z
dc.date.issued2018-12-15
dc.identifierhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000449236500042&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=6e74115fe3da270499c3d65c9b17d654
dc.identifier.citationBin Yang, Yuri Knyazikhin, Haimeng Zhao, Yuzhong Ma. 2018. "Contribution of leaf specular reflection to canopy reflectance under black soil case using stochastic radiative transfer model." AGRICULTURAL AND FOREST METEOROLOGY, Volume 263, pp. 477 - 482 (6). https://doi.org/10.1016/j.agrformet.2018.08.024
dc.identifier.issn0168-1923
dc.identifier.issn1873-2240
dc.identifier.urihttps://hdl.handle.net/2144/33302
dc.description.abstractNumerous canopy radiative transfer models have been proposed based on the assumption of “ideal bi-Lambertian leaves” with the aim of simplifying the interactions between photons and vegetation canopies. This assumption may cause discrepancy between the simulated and measured canopy bidirectional reflectance factor (BRF). Few studies have been devoted to evaluate the impacts of such assumption on simulation of canopy BRF at a high-to-medium spatial resolution (∼30 m). This paper focuses on quantifying the contribution of leaf specular reflection on the estimation of canopy BRF under a black soil case using one of the most efficient radiative transfer models, the stochastic radiative transfer model. Analyses of field and satellite data collected over the boreal Hyytiälä forest in Finland show that leaf specular reflection may lead to errors of up to 33.1% at 550 nm and 32.8% at 650 nm in terms of relative root mean square error. The results suggest that, in order to minimize these errors, leaf specular reflection should be accounted for in modeling BRF.en_US
dc.description.sponsorshipThis research was supported by the Fundamental Research Funds for the Central Universities under Grant No. 531107051063 and Guangxi Natural Science Foundation under Grant No. 2016JJD110017. We would like to thank Dr. Rautiainen Miina and Mottus Matti for sharing the field data and the USGS for making the EO-1 Hyperion hyperspectral data publically available. (531107051063 - Fundamental Research Funds for the Central Universities; 2016JJD110017 - Guangxi Natural Science Foundation)en_US
dc.format.extentp. 477-482en_US
dc.languageEnglish
dc.language.isoen_US
dc.publisherElsevier Science BVen_US
dc.relation.ispartofAgricultural and forest meteorology
dc.subjectScience & technologyen_US
dc.subjectLife sciences & biomedicineen_US
dc.subjectPhysical sciencesen_US
dc.subjectAgronomyen_US
dc.subjectForestryen_US
dc.subjectMeteorology & atmospheric sciencesen_US
dc.subjectAgricultureen_US
dc.subjectLeaf specular reflectionen_US
dc.subjectStochastic radiative transfer modelen_US
dc.subjectBidirectional reflectance factoren_US
dc.subjectDiscontinuous vegetation canopiesen_US
dc.subjectArea indexen_US
dc.subjectImaging spectrometeren_US
dc.subjectSpectral invariantsen_US
dc.subjectDiffuse componentsen_US
dc.subjectForest reflectanceen_US
dc.subjectScatteringen_US
dc.subjectFractionen_US
dc.subjectEarth sciencesen_US
dc.subjectAgricultural and veterinary sciencesen_US
dc.subjectBiological sciencesen_US
dc.titleContribution of leaf specular reflection to canopy reflectance under black soil case using stochastic radiative transfer modelen_US
dc.typeArticleen_US
dc.description.versionAccepted manuscripten_US
dc.identifier.doi10.1016/j.agrformet.2018.08.024
pubs.elements-sourceweb-of-scienceen_US
pubs.notesEmbargo: Not knownen_US
pubs.organisational-groupBoston Universityen_US
pubs.organisational-groupBoston University, College of Arts & Sciencesen_US
pubs.organisational-groupBoston University, College of Arts & Sciences, Department of Earth & Environmenten_US
pubs.publication-statusPublisheden_US


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