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dc.contributor.authorColadello, L.F.
dc.contributor.authorGalo, M.D.L.B.T.
dc.contributor.authorShimabukuro, M.H.
dc.contributor.authorIvanova, Ivana
dc.contributor.authorAwange, Joseph
dc.date.accessioned2023-03-01T02:12:35Z
dc.date.available2023-03-01T02:12:35Z
dc.date.issued2022
dc.identifier.citationColadello, L.F. and Galo, M.D.L.B.T. and Shimabukuro, M.H. and Ivanova, I. and Awange, J. 2022. Assessing Climate Influence on Spatiotemporal Dynamics of Macrophytes in Eutrophicated Reservoirs by Remotely Sensed Time Series. Remote Sensing. 14 (14): ARTN 3282.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/90687
dc.identifier.doi10.3390/rs14143282
dc.description.abstract

The overgrowth of macrophytes is a recurrent problem within reservoirs of urbanized and industrialized areas, a condition triggered by the damming of rivers and other human activities. Although the occurrence of aquatic plants in waterbodies has been widely monitored using remote sensing, the influence of climate variables on macrophyte spatiotemporal dynamics is rarely considered in studies developed for medium scales to long periods of time. We hypothesize that the spatial dispersion of macrophytes has its natural rhythms influenced by climate fluctuations, and, as such, its effects on the heterogeneous spatial distribution of this vegetation should be considered in the monitoring of water bodies. A eutrophic reservoir is selected for study, which uses the Normalized Difference Vegetation Index (NDVI) as a proxy for macrophytes. Landsat’s NDVI long-term time series are constructed and matched with the Climate Variable (CV) from the National Oceanic and Atmospheric Administration (NOAA) to assess the spatiotemporal dynamics of aquatic plants and their associated climate triggers. The NDVI and CV time series and their seasonal and trend components are correlated for the entire reservoir, compartments, and segmented areas of the water body. Granger-causality of these climate variables show that they contribute to describe and predict the spatial dispersion of macrophytes.

dc.languageEnglish
dc.publisherMDPI
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectScience & Technology
dc.subjectLife Sciences & Biomedicine
dc.subjectPhysical Sciences
dc.subjectTechnology
dc.subjectEnvironmental Sciences
dc.subjectGeosciences, Multidisciplinary
dc.subjectRemote Sensing
dc.subjectImaging Science & Photographic Technology
dc.subjectEnvironmental Sciences & Ecology
dc.subjectGeology
dc.subjectLandsat time series
dc.subjectclimate variables
dc.subjectmonitoring
dc.subjectcausality
dc.subjectreservoirs
dc.subjectmacrophytes
dc.subjectremote sensing
dc.subjectAQUATIC VEGETATION
dc.subjectTREND ANALYSIS
dc.subjectLAKE VICTORIA
dc.subjectTAIHU LAKE
dc.subjectCOVER
dc.subjectDEGRADATION
dc.subjectVARIABILITY
dc.subjectREANALYSIS
dc.subjectFLOODPLAIN
dc.subjectABUNDANCE
dc.titleAssessing Climate Influence on Spatiotemporal Dynamics of Macrophytes in Eutrophicated Reservoirs by Remotely Sensed Time Series
dc.typeJournal Article
dcterms.source.volume14
dcterms.source.number14
dcterms.source.issn2072-4292
dcterms.source.titleRemote Sensing
dc.date.updated2023-03-01T02:12:35Z
curtin.departmentSchool of Earth and Planetary Sciences (EPS)
curtin.accessStatusOpen access
curtin.facultyFaculty of Science and Engineering
curtin.contributor.orcidIvanova, Ivana [0000-0001-6836-3463]
curtin.contributor.orcidAwange, Joseph [0000-0003-3533-613X]
curtin.contributor.researcheridIvanova, Ivana [C-5793-2016]
curtin.contributor.researcheridAwange, Joseph [A-3998-2008]
curtin.identifier.article-numberARTN 3282
dcterms.source.eissn2072-4292
curtin.contributor.scopusauthoridIvanova, Ivana [56686108500]
curtin.contributor.scopusauthoridAwange, Joseph [6603092635]


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