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Technical Note

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

1
Department of Geography, South Eastern University of Sri Lanka, University Park, Oluvil 32360, Sri Lanka
2
Department of Geography, University of Sri Jayewardenepura, Gangodawila, Nugegoda 10250, Sri Lanka
3
Department of Forestry and Wildland Resources, Humboldt State University, 1st Harpst Street, Arcata, CA 95521, USA
4
Land Use Policy Planning Department, District Secretariat, Ampara 32000, Sri Lanka
*
Author to whom correspondence should be addressed.
Academic Editor: Adriano Ribolini
Received: 2 September 2021 / Revised: 22 September 2021 / Accepted: 23 September 2021 / Published: 28 September 2021
(This article belongs to the Special Issue Early Career Scientists’ (ECS) Contributions to Geographies)
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%. View Full-Text
Keywords: land-use change; spatiotemporal; supervised classification; machine learning; Markov chain land-use change; spatiotemporal; supervised classification; machine learning; Markov chain
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MDPI and ACS Style

Zahir, I.L.M.; Thennakoon, S.; Sangasumana, R.P.; Herath, J.; Madurapperuma, B.; Iyoob, A.L. Spatiotemporal Land-Use Changes of Batticaloa Municipal Council in Sri Lanka from 1990 to 2030 Using Land Change Modeler. Geographies 2021, 1, 166-177. https://0-doi-org.brum.beds.ac.uk/10.3390/geographies1030010

AMA Style

Zahir ILM, Thennakoon S, Sangasumana RP, Herath J, Madurapperuma B, Iyoob AL. Spatiotemporal Land-Use Changes of Batticaloa Municipal Council in Sri Lanka from 1990 to 2030 Using Land Change Modeler. Geographies. 2021; 1(3):166-177. https://0-doi-org.brum.beds.ac.uk/10.3390/geographies1030010

Chicago/Turabian Style

Zahir, Ibra L.M., Sunethra Thennakoon, Rev. P. Sangasumana, Jayani Herath, Buddhika Madurapperuma, and Atham L. Iyoob 2021. "Spatiotemporal Land-Use Changes of Batticaloa Municipal Council in Sri Lanka from 1990 to 2030 Using Land Change Modeler" Geographies 1, no. 3: 166-177. https://0-doi-org.brum.beds.ac.uk/10.3390/geographies1030010

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