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Mapping of Mangrove Change with Remote Sensing in Samut Songkhram Province, Thailand

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Human Interaction, Emerging Technologies and Future Applications II (IHIET 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1152))

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Abstract

The mangrove forest in Thailand provides food and many living organisms. Mangrove forests also provide important nursery habitat for many species of fishes. Therefore, knowledge on mangroves distribution and change is importance for effective management. Remote sensing and geographic information system has been widely used to characterize and monitor and studies on mangroves change. The main of research is monitoring mangrove forest land cover changes in Samut Songkhram Province from 2008 to 2018. This study used multi-temporal Landsat TM data and ancillary GIS data to quantify mangrove cover changes in the whole of Samut Songkhram. This research used supervised classification technique and NDVI index. Land-use was classed 6 groups which were mangrove forest area, urban area, agricultural area, bare land area, fishery farm area and water area. The result found that overall accuracy by calculating Error matrix during 53 to 83%. The mangrove forest area is increasing between 2008 to 2011 and 2015–2017. In the other hand, mangrove forest areas are decreased between 2011–2015. Information of mangrove forest area change of this study is very useful to local government and urban planners for the betterment of future plans of sustainable development of mangrove forest.

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Acknowledgments

The research described in this paper is supported in part by a grant from Suan Sunandha Rajabhat University, Thailand for supporting the scholarship as a part of budget.

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Correspondence to Walaiporn Phonphan .

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Phonphan, W., Thanakunwutthirot, M. (2020). Mapping of Mangrove Change with Remote Sensing in Samut Songkhram Province, Thailand. In: Ahram, T., Taiar, R., Gremeaux-Bader, V., Aminian, K. (eds) Human Interaction, Emerging Technologies and Future Applications II. IHIET 2020. Advances in Intelligent Systems and Computing, vol 1152. Springer, Cham. https://doi.org/10.1007/978-3-030-44267-5_29

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  • DOI: https://doi.org/10.1007/978-3-030-44267-5_29

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-44266-8

  • Online ISBN: 978-3-030-44267-5

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