On the use of MODIS EVI to assess gross primary productivity of North American ecosystems

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dc.contributor.authorSims, Daniel A.
dc.contributor.authorRahman, Abdullah F.
dc.contributor.authorCordova, Vicente D.
dc.contributor.authorEl-Masri, Bassil Z.
dc.contributor.authorBaldocchi, Dennis D.
dc.contributor.authorFlanagan, Larry B.
dc.contributor.authorGoldstein, Allen H.
dc.contributor.authorHollinger, David Y.
dc.contributor.authorMisson, Laurent
dc.contributor.authorMonson, Russell K.
dc.contributor.authorOechel, Walter C.
dc.contributor.authorSchmid, Hans P.
dc.contributor.authorWofsy, Steven C.
dc.contributor.authorXu, Liukang
dc.date.accessioned2019-08-27T20:01:43Z
dc.date.available2019-08-27T20:01:43Z
dc.date.issued2006
dc.descriptionSherpa Romeo green journal. Permission to archive final published versionen_US
dc.description.abstractCarbon flux models based on light use efficiency (LUE), such as the MOD17 algorithm, have proved difficult to parameterize because of uncertainties in the LUE term, which is usually estimated from meteorological variables available only at large spatial scales. In search of simpler models based entirely on remote-sensing data, we examined direct relationships between the enhanced vegetation index (EVI) and gross primary productivity (GPP) measured at nine eddy covariance flux tower sites across North America. When data from the winter period of inactive photosynthesis were excluded, the overall relationship between EVI and tower GPP was better than that between MOD17 GPP and tower GPP. However, the EVI/GPP relationships vary between sites. Correlations between EVI and GPP were generally greater for deciduous than for evergreen sites. However, this correlation declined substantially only for sites with the smallest seasonal variation in EVI, suggesting that this relationship can be used for all but the most evergreen sites. Within sites dominated by either evergreen or deciduous species, seasonal variation in EVI was best explained by the severity of summer drought. Our results demonstrate that EVI alone can provide estimates of GPP that are as good as, if not better than, current versions of the MOD17 algorithm for many sites during the active period of photosynthesis. Preliminary data suggest that inclusion of other remote-sensing products in addition to EVI, such as the MODIS land surface temperature (LST), may result in more robust models of carbon balance based entirely on remote-sensing dataen_US
dc.description.peer-reviewYesen_US
dc.identifier.citationSims, D. A., Rahman, A. F., Cordova, V. D., El-Masri, B. Z., Baldocchi, D. D., Flanagan, L. B.,...Xu, Liukang. (2006). On the use of MODIS EVI to assess gross primary productivity of North American ecosystems. Journal of Geophysical Research (Biogeosciences), 111, G04015. doi:10.1029/2006JG000162en_US
dc.identifier.urihttps://hdl.handle.net/10133/5526
dc.language.isoen_USen_US
dc.publisherAmerican Geophysical Unionen_US
dc.publisher.departmentDepartment of Biological Sciencesen_US
dc.publisher.facultyArts and Scienceen_US
dc.publisher.institutionBall State Universityen_US
dc.publisher.institutionTexas Tech Universityen_US
dc.publisher.institutionUniversity of Californiaen_US
dc.publisher.institutionUniversity of Lethbridgeen_US
dc.publisher.institutionNortheastern Research Stationen_US
dc.publisher.institutionUniversity of Colorado at Boulderen_US
dc.publisher.institutionSan Diego State Universityen_US
dc.publisher.institutionIndiana Universityen_US
dc.publisher.institutionHavard Universityen_US
dc.publisher.institutionLicor Incorporated Environmentalen_US
dc.publisher.urlhttps://dx.doi.org/10.1029/2006JG000162
dc.subjectRemote sensingen_US
dc.subjectFlux modelingen_US
dc.subjectEddy covarianceen_US
dc.subjectLight use efficiency
dc.subjectEnhanced vegetation index
dc.subjectGross primary productivity
dc.subject.lcshPhotosynthesis
dc.titleOn the use of MODIS EVI to assess gross primary productivity of North American ecosystemsen_US
dc.typeArticleen_US
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