Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/27730
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dc.contributor.authorWang, Shengleien_UK
dc.contributor.authorLi, Junshengen_UK
dc.contributor.authorZhang, Bingen_UK
dc.contributor.authorSpyrakos, Evangelosen_UK
dc.contributor.authorTyler, Andrew Nen_UK
dc.contributor.authorShen, Qianen_UK
dc.contributor.authorZhang, Fangfangen_UK
dc.contributor.authorKuster, Tiiten_UK
dc.contributor.authorLehmann, Moritz K.en_UK
dc.contributor.authorWu, Yanhongen_UK
dc.contributor.authorPeng, Dailiangen_UK
dc.date.accessioned2018-09-07T12:24:51Z-
dc.date.available2018-09-07T12:24:51Z-
dc.date.issued2018-11-30en_UK
dc.identifier.urihttp://hdl.handle.net/1893/27730-
dc.description.abstractEutrophication of inland waters is considered a serious global environmental problem. Satellite remote sensing (RS) has been established as an important source of information to determine the trophic state of inland waters through the retrieval of optically active water quality parameters such as chlorophyll-a (Chl-a). However, the use of RS techniques for assessment of the trophic state of inland waters on a global scale is hindered by the performance of retrieval algorithms over highly dynamic and complex optical properties that characterize many of these systems. In this study, we developed a new RS approach to assess the trophic state of global inland water bodies based on Moderate Resolution Imaging Spectroradiometer (MODIS) imagery and the Forel-Ule index (FUI). First, the FUI was calculated from MODIS data by dividing natural water colour into 21 indices from dark blue to yellowish-brown. Then the relationship between FUI and the trophic state index (TSI) was established based on in-situ measurements and MODIS products. The water-leaving reflectance at 645 nm band was employed to distinguish coloured dissolved organic matter (CDOM)-dominated systems in the FUI-based trophic state assessment. Based on the analysis, the FUI-based trophic state assessment method was developed and applied to assess the trophic states of 2058 large inland water bodies (surface area >25 km2) distributed around the world using MODIS data from the austral and boreal summers of 2012. Our results showed that FUI can be retrieved from MODIS with a considerable accuracy (92.5%, R2 = 0.92) by comparing with concurrent in situ measurements over a wide range of lakes, and the overall accuracy of the FUI-based trophic state assessment method is 80.0% (R2 = 0.75) validated by an independent dataset. Of the global large water bodies considered, oligotrophic large lakes were found to be concentrated in plateau regions in central Asia and southern South America, while eutrophic large lakes were concentrated in central Africa, eastern Asia, and mid-northern and southeast North America.en_UK
dc.language.isoenen_UK
dc.publisherElsevier BVen_UK
dc.relationWang S, Li J, Zhang B, Spyrakos E, Tyler AN, Shen Q, Zhang F, Kuster T, Lehmann MK, Wu Y & Peng D (2018) Trophic state assessment of global inland waters using a MODIS-derived Forel-Ule index. Remote Sensing of Environment, 217, pp. 444-460. https://doi.org/10.1016/j.rse.2018.08.026en_UK
dc.rightsThis item has been embargoed for a period. During the embargo please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study. Accepted refereed manuscript of: Wang S, Li J, Zhang B, Spyrakos E, Tyler AN, Shen Q, Zhang F, Kuster T, Lehmann MK, Wu Y & Peng D (2018) Trophic state assessment of global inland waters using a MODIS-derived Forel-Ule index. Remote Sensing of Environment, 217, pp. 444-460. DOI: 10.1016/j.rse.2018.08.026 ©2018, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/en_UK
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en_UK
dc.subjectTrophic stateen_UK
dc.subjectGlobal inland watersen_UK
dc.subjectForel-Ule indexen_UK
dc.subjectMODISen_UK
dc.titleTrophic state assessment of global inland waters using a MODIS-derived Forel-Ule indexen_UK
dc.typeJournal Articleen_UK
dc.rights.embargodate2019-09-06en_UK
dc.rights.embargoreason[RSE-D-16-01414.pdf] Publisher requires embargo of 12 months after formal publication.en_UK
dc.identifier.doi10.1016/j.rse.2018.08.026en_UK
dc.citation.jtitleRemote Sensing of Environmenten_UK
dc.citation.issn0034-4257en_UK
dc.citation.volume217en_UK
dc.citation.spage444en_UK
dc.citation.epage460en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusAM - Accepted Manuscripten_UK
dc.contributor.funderNational Key Research and Development Program of Chinaen_UK
dc.contributor.funderChina Scholarship Councilen_UK
dc.contributor.funderYouth Innovation Promotion Association of the Chinese Academy of Sciencesen_UK
dc.contributor.funderNational Natural Science Foundation of Chinaen_UK
dc.contributor.funderNational Natural Science Foundation of Chinaen_UK
dc.contributor.funderNational Natural Science Foundation of Chinaen_UK
dc.author.emailevangelos.spyrakos@stir.ac.uken_UK
dc.citation.date05/09/2018en_UK
dc.contributor.affiliationBiological and Environmental Sciencesen_UK
dc.contributor.affiliationBiological and Environmental Sciencesen_UK
dc.contributor.affiliationBiological and Environmental Sciencesen_UK
dc.identifier.isiWOS:000447570900033en_UK
dc.identifier.scopusid2-s2.0-85052866018en_UK
dc.identifier.wtid991639en_UK
dc.contributor.orcid0000-0002-8590-9736en_UK
dc.contributor.orcid0000-0003-0604-5827en_UK
dc.contributor.orcid0000-0002-6034-0555en_UK
dc.contributor.orcid0000-0003-1159-0723en_UK
dc.date.accepted2018-08-21en_UK
dcterms.dateAccepted2018-08-21en_UK
dc.date.filedepositdate2018-09-07en_UK
rioxxterms.apcnot requireden_UK
rioxxterms.typeJournal Article/Reviewen_UK
rioxxterms.versionAMen_UK
local.rioxx.authorWang, Shenglei|en_UK
local.rioxx.authorLi, Junsheng|0000-0002-8590-9736en_UK
local.rioxx.authorZhang, Bing|en_UK
local.rioxx.authorSpyrakos, Evangelos|en_UK
local.rioxx.authorTyler, Andrew N|0000-0003-0604-5827en_UK
local.rioxx.authorShen, Qian|0000-0002-6034-0555en_UK
local.rioxx.authorZhang, Fangfang|en_UK
local.rioxx.authorKuster, Tiit|en_UK
local.rioxx.authorLehmann, Moritz K.|en_UK
local.rioxx.authorWu, Yanhong|en_UK
local.rioxx.authorPeng, Dailiang|0000-0003-1159-0723en_UK
local.rioxx.project2016YFB0501502|National Key Research and Development Program of China|en_UK
local.rioxx.projectProject ID unknown|China Scholarship Council|en_UK
local.rioxx.project2015128|Youth Innovation Promotion Association of the Chinese Academy of Sciences|en_UK
local.rioxx.project41325004|National Natural Science Foundation of China|en_UK
local.rioxx.project41471308|National Natural Science Foundation of China|en_UK
local.rioxx.project41671203|National Natural Science Foundation of China|en_UK
local.rioxx.freetoreaddate2019-09-06en_UK
local.rioxx.licencehttp://www.rioxx.net/licenses/under-embargo-all-rights-reserved||2019-09-05en_UK
local.rioxx.licencehttp://creativecommons.org/licenses/by-nc-nd/4.0/|2019-09-06|en_UK
local.rioxx.filenameRSE-D-16-01414.pdfen_UK
local.rioxx.filecount1en_UK
local.rioxx.source0034-4257en_UK
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