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Environmental Remote Sensing in Flooding Areas

A Case Study of Ayutthaya, Thailand

  • Book
  • © 2021

Overview

Authors:
  1. Chunxiang Cao

    1. Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China

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  2. Min Xu

    1. Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China

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  3. Patcharin Kamsing

    1. International Academy of Aviation Industry, King Mongkut’s Institute of Technology Ladkrabang, Bangkok, Thailand

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  4. Sornkitja Boonprong

    1. Department of Geography, Faculty of Social Sciences, Kasetsart University, Bangkok, Thailand

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  5. Peera Yomwan

    1. Department of Lands, Ministry of Interior, Bangkok, Thailand

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  6. Apitach Saokarn

    1. Institute of Remote Sensing and Digital Earth, Royal Thai Survey Department, Bangkok, Thailand

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  • Offers flooding area identification using remote sensing and GIS technology
  • Provides flood-borne epidemic disease prediction
  • Presents flood risk assessment in Thailand

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Table of contents (10 chapters)

  1. Front Matter

    Pages i-xi
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  2. Flooding Identification Method

    1. Front Matter

      Pages 1-1
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    2. Geographical Characteristics of the Study Area

      • Chunxiang Cao, Min Xu, Patcharin Kamsing, Sornkitja Boonprong, Peera Yomwan, Apitach Saokarn
      Pages 3-12

    3. Datasets and Data Preparation

      • Chunxiang Cao, Min Xu, Patcharin Kamsing, Sornkitja Boonprong, Peera Yomwan, Apitach Saokarn
      Pages 13-27

    4. Flooding Identification by Vegetation Index

      • Chunxiang Cao, Min Xu, Patcharin Kamsing, Sornkitja Boonprong, Peera Yomwan, Apitach Saokarn
      Pages 29-44

    5. Flooding Identification by Support Vector Machine

      • Chunxiang Cao, Min Xu, Patcharin Kamsing, Sornkitja Boonprong, Peera Yomwan, Apitach Saokarn
      Pages 45-55

    6. Improved Support Vector Machine Classifier Through a Particle Filter Algorithm

      • Chunxiang Cao, Min Xu, Patcharin Kamsing, Sornkitja Boonprong, Peera Yomwan, Apitach Saokarn
      Pages 57-94

  3. Waterborne Diseases Caused by Flooding Disasters

    1. Front Matter

      Pages 95-95
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    2. Flood-Related Parameters Affecting Waterborne Diseases

      • Chunxiang Cao, Min Xu, Patcharin Kamsing, Sornkitja Boonprong, Peera Yomwan, Apitach Saokarn
      Pages 97-107

    3. Measure of Disease Risk

      • Chunxiang Cao, Min Xu, Patcharin Kamsing, Sornkitja Boonprong, Peera Yomwan, Apitach Saokarn
      Pages 109-120

    4. Modeling Outbreak Risk Based on the Back Propagation Neural Network (BPNN) Algorithm

      • Chunxiang Cao, Min Xu, Patcharin Kamsing, Sornkitja Boonprong, Peera Yomwan, Apitach Saokarn
      Pages 121-134

    5. Application of Surveillance of Communicable Disease Risk Using Expert Systems

      • Chunxiang Cao, Min Xu, Patcharin Kamsing, Sornkitja Boonprong, Peera Yomwan, Apitach Saokarn
      Pages 135-143

    6. Conclusions and Discussions

      • Chunxiang Cao, Min Xu, Patcharin Kamsing, Sornkitja Boonprong, Peera Yomwan, Apitach Saokarn
      Pages 145-148
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Keywords

About this book

This book introduces flood inundation area and flood risks assessment based on a comprehensive monitoring system using remote sensing and geographic information system technologies. Taking the 2011 flood disaster of Ayutthaya in Thailand as an example, it presents a flood intrusion zone identification method based on remote sensing technology, spatial information technology and geographic information system for flood disaster monitoring and early warning system. It introduces the study area and data, vegetation index, improved support vector machine and flood intrusion zone identification method. It also analyzes the flood remote sensing parameters and waterborne diseases, method of risk assessment of waterborne disease outbreak, waterborne disease outbreak risk monitoring based on backpropagation neural network and its expert system. It not only promotes a new interdisciplinary approach both in public health and space information technology, but also greatly supports decision makers in disaster reduction.

Authors and Affiliations

  • Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China

    Chunxiang Cao, Min Xu

  • International Academy of Aviation Industry, King Mongkut’s Institute of Technology Ladkrabang, Bangkok, Thailand

    Patcharin Kamsing

  • Department of Geography, Faculty of Social Sciences, Kasetsart University, Bangkok, Thailand

    Sornkitja Boonprong

  • Department of Lands, Ministry of Interior, Bangkok, Thailand

    Peera Yomwan

  • Institute of Remote Sensing and Digital Earth, Royal Thai Survey Department, Bangkok, Thailand

    Apitach Saokarn

About the authors

Chunxiang Cao is a Professor of the University of Chinese Academy of Science and Institute of Remote Sensing and Digital Earth of Chinese Academy of Sciences. She is now the Director of the division of environmental health remote sensing of State Key Laboratory and the Executive Director of the center of spatial information technologies application research in public health. She has been engaged in remote sensing and environmental health research areas for 20 years. Her research interests are remote sensing technology in assessment of five elements of the ecosystem, namely forest, agriculture, water, atmosphere and the human living environment. She established the inter-discipline research direction of “Diagnosis of Environmental Health by Remote Sensing” together with peer colleagues from Boston University, Tokyo University and Kyoto University.

Bibliographic Information

  • Book Title: Environmental Remote Sensing in Flooding Areas

  • Book Subtitle: A Case Study of Ayutthaya, Thailand

  • Authors: Chunxiang Cao, Min Xu, Patcharin Kamsing, Sornkitja Boonprong, Peera Yomwan, Apitach Saokarn

  • DOI: https://doi.org/10.1007/978-981-15-8202-8

  • Publisher: Springer Singapore

  • eBook Packages: Earth and Environmental Science, Earth and Environmental Science (R0)

  • Copyright Information: Higher Education Press and Springer Nature Singapore Pte Ltd. 2021

  • Hardcover ISBN: 978-981-15-8201-1Published: 13 December 2020

  • Softcover ISBN: 978-981-15-8204-2Published: 14 December 2021

  • eBook ISBN: 978-981-15-8202-8Published: 12 December 2020

  • Edition Number: 1

  • Number of Pages: XI, 148

  • Number of Illustrations: 17 b/w illustrations, 38 illustrations in colour

  • Topics: Remote Sensing/Photogrammetry, Monitoring/Environmental Analysis, Environmental Health, Epidemiology

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