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Assessment of land cover changes using sentinel-2 satellite image data: A case study of Thanh Hoa coastal area, Viet Nam

Thi Phuong, T. and Le Hung, T. and Thi Giang, L. and Xuan Bien, T. and Van Phu, L. (2024) Assessment of land cover changes using sentinel-2 satellite image data: A case study of Thanh Hoa coastal area, Viet Nam. In: UNSPECIFIED.

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Abstract

Land use and management decisions heavily rely on the evaluating changes in land cover. Remote sensing techniques are becoming increasingly reliable and applicable, making them particularly useful for assessing and monitoring changes in land cover. In this study, the authors used Sentinel-2 MSI optical satellite image data and machine learning algorithms to classify and evaluate land cover changes in Thanh Hoa province's coastal area between 2015 and 2023. Our research findings showed that Sentinel-2 MSI satellite image data can accurately interpret and classify land cover, with Kappa values ranging from 0.892 to 0.907. Furthermore, our findings indicated an increase in the area covered by build-up class. Meanwhile, vegetation cover and water surface class tend to decrease, especially the sharp decline of surface water. Research results help local policymakers develop land use plans in the direction of sustainable economic and social development. © Published under licence by IOP Publishing Ltd.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Divisions: Offices > Office of International Cooperation
Identification Number: 10.1088/1755-1315/1345/1/012026
Additional Information: Conference of 2023 National Conference on GIS Application ; Conference Date: 11 November 2023 Through 12 November 2023; Conference Code:199557
URI: http://eprints.lqdtu.edu.vn/id/eprint/11254

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