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Spatiotemporal Land-Use Changes of Batticaloa Municipal Council in Sri Lanka from 1990 to 2030 Using Land Change Modeler

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dc.contributor.author Zahir, I.L.M
dc.contributor.author Thennakoon, S
dc.contributor.author Sangasumana, P
dc.date.accessioned 2022-02-08T06:37:14Z
dc.date.available 2022-02-08T06:37:14Z
dc.date.issued 2021
dc.identifier.citation Zahir, I.L.M, et al.(2021)."Spatiotemporal Land-Use Changes of Batticaloa Municipal Council in Sri Lanka from 1990 to 2030 Using Land Change Modeler", Geographies 2021, 1, 166–177 en_US
dc.identifier.uri http://dr.lib.sjp.ac.lk/handle/123456789/10161
dc.description.abstract Land-use change is a predictable and principal driving force of potential environmental changes on all spatial and temporal scales. A land-use change model is a tool that supports the analysis of the sources and consequences of land-use dynamics. This study aims to assess the spatiotemporal land-use changes that occurred during 1990–2020 in the municipal council limits of Batticaloa. A land change modeler has been used as an innovative land planning and decision support system in this study. The main satellite data were retrieved from Landsat in 1990, 2000, 2010, and 2020. For classification, the supervised classification method was employed, particularly with the medium resolution satellite images. Land-use classes were analyzed by the machine learning algorithm in theland change modeler. The Markov chain method was also used to predict future land-use changes. The results of the study reveal that only one land-use type, homestead, has gradually increased, from 12.1% to 34.1%, during the above-mentioned period. Agriculture land use substantially declined from 26.9% to 21.9%. Bare lands decreased from 11.5% to 5.0%, and wetlands declined from 13.9% to 9.6%. en_US
dc.language.iso en en_US
dc.publisher Geographies en_US
dc.subject land-use change; spatiotemporal; supervised classification; machine learning; Markov chain en_US
dc.title Spatiotemporal Land-Use Changes of Batticaloa Municipal Council in Sri Lanka from 1990 to 2030 Using Land Change Modeler en_US
dc.type Article en_US


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