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dc.contributor.authorChen, Chien_US
dc.contributor.authorKnyazikhin, Yurien_US
dc.contributor.authorPark, Taejinen_US
dc.contributor.authorYan, Kaien_US
dc.contributor.authorLyapustin, Alexeien_US
dc.contributor.authorWang, Yujieen_US
dc.contributor.authorYang, Binen_US
dc.contributor.authorMyneni, Ranga B.en_US
dc.date.accessioned2017-11-08T15:45:16Z
dc.date.available2017-11-08T15:45:16Z
dc.date.issued2017-04-01
dc.identifierhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000402571700069&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=6e74115fe3da270499c3d65c9b17d654
dc.identifier.citationChi Chen, Yuri Knyazikhin, Taejin Park, Kai Yan, Alexei Lyapustin, Yujie Wang, Bin Yang, Ranga B. Myneni. 2017. "Prototyping of LAI and FPAR retrievals from MODIS multi-angle implementation of atmospheric correction (MAIAC) data." Remote Sensing, v. 9, Issue 4, pp. 1-17.
dc.identifier.issn2072-4292
dc.identifier.urihttps://hdl.handle.net/2144/24797
dc.description.abstractLeaf area index (LAI) and fraction of photosynthetically active radiation (FPAR) absorbed by vegetation are key variables in many global models of climate, hydrology, biogeochemistry, and ecology. These parameters are being operationally produced from Terra and Aqua MODIS bidirectional reflectance factor (BRF) data. The MODIS science team has developed, and plans to release, a new version of the BRF product using the multi-angle implementation of atmospheric correction (MAIAC) algorithm from Terra and Aqua MODIS observations. This paper presents analyses of LAI and FPAR retrievals generated with the MODIS LAI/FPAR operational algorithm using Terra MAIAC BRF data. Direct application of the operational algorithm to MAIAC BRF resulted in an underestimation of the MODIS Collection 6 (C6) LAI standard product by up to 10%. The difference was attributed to the disagreement between MAIAC and MODIS BRFs over the vegetation by −2% to +8% in the red spectral band, suggesting different accuracies in the BRF products. The operational LAI/FPAR algorithm was adjusted for uncertainties in the MAIAC BRF data. Its performance evaluated on a limited set of MAIAC BRF data from North and South America suggests an increase in spatial coverage of the best quality, high-precision LAI retrievals of up to 10%. Overall MAIAC LAI and FPAR are consistent with the standard C6 MODIS LAI/FPAR. The increase in spatial coverage of the best quality LAI retrievals resulted in a better agreement of MAIAC LAI with field data compared to the C6 LAI product, with the RMSE decreasing from 0.80 LAI units (C6) down to 0.67 (MAIAC) and the R2 increasing from 0.69 to 0.80. The slope (intercept) of the satellite-derived vs. field-measured LAI regression line has changed from 0.89 (0.39) to 0.97 (0.25).en_US
dc.description.sponsorshipThis work was funded by NASA Earth Science Division to MODIS (NNX14AI71G) and VIIRS (NNX14AP80A) programs through grants to Boston University (Ranga B. Myneni, PI), and HBO contract # 21205-14-036 to Yuri Knyazikhin. (NNX14AI71G - NASA; NNX14AP80A - NASA; 21205-14-036 - HBO contract)en_US
dc.description.urihttp://www.mdpi.com/2072-4292/9/4/370
dc.format.extentp. 1-17en_US
dc.languageEnglish
dc.language.isoen_US
dc.publisherMDPI AGen_US
dc.relation.ispartofREMOTE SENSING
dc.rightsAttribution 4.0 Internationalen_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectMAIACen_US
dc.subjectMODISen_US
dc.subjectScience & technologyen_US
dc.subjectRemote sensingen_US
dc.subjectLeaf area index (LAI)en_US
dc.subjectFraction of photosynthetically active radiation (FPAR)en_US
dc.subjectRadiative transferen_US
dc.subjectSurface reflectanceen_US
dc.subjectVegetationen_US
dc.subjectAlgorithmen_US
dc.subjectAmazonen_US
dc.titlePrototyping of LAI and FPAR retrievals from MODIS multi-angle implementation of atmospheric correction (MAIAC) dataen_US
dc.typeArticleen_US
dc.description.versionPublished versionen_US
dc.identifier.doi10.3390/rs9040370
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
dc.identifier.orcid0000-0002-0234-6393 (Myneni, Ranga B)


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