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Assessment the impact of climate change on the degradation of mangrove forests using spot and vnredsat imagery: A case study in Dong Rui, Quang Ninh Province, Vietnam

Minh, H.L. and Hoai, D.T. (2020) Assessment the impact of climate change on the degradation of mangrove forests using spot and vnredsat imagery: A case study in Dong Rui, Quang Ninh Province, Vietnam. In: 41st Asian Conference on Remote Sensing, ACRS 2020, 9 November 2020 through 11 November 2020.

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Abstract

Mangroves play an essential role in human sustainability and livelihood, such as food and timber supplies, protection from the tidal bores, and shoreline erosion. However, climate changes (sea-level rise and altered rainfalls) and human activities threaten and degrade the mangrove forest ecosystem. In the article, the authors present the assessment of mangrove degradation in Dong Rui district, Quang Ninh province, Vietnam using multitemporal satellite images such as SPOT5 and VNREDSat-1 images in 2008, 2013, and 2017. The SVM (Support vector machine) method was applied for the classification images. The classification accuracy achieved over 85%. According to the classification images, the mangroves in Dong Rui, Quang Ninh, decreased in the period 2008-2013. The changes in the water and the intertidal zone features in 2008, 2013, and 2017 proved the land cover changes caused by climate change in 2008-2017. Climate change is also one reason for the degradation of mangrove forests in Dong Rui district, Quang Ninh province, Vietnam. © 2020 ACRS 2020 - 41st Asian Conference on Remote Sensing. All rights reserved.

Item Type: Conference or Workshop Item (Paper)
Divisions: Institutes > Institute of Techniques for Special Engineering
Uncontrolled Keywords: Ecosystems; Forestry; Image classification; Remote sensing; Sea level; Shore protection; Support vector machines; Tides; Classification accuracy; Classification images; Human activities; Intertidal zones; Land-cover change; Multi-temporal satellite images; Shoreline erosion; SVM(support vector machine); Climate change
Additional Information: Conference code: 169013. Language of original document: English.
URI: http://eprints.lqdtu.edu.vn/id/eprint/9085

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