Environmental remote sensing in flooding areas : a case study of Ayutthaya, Thailand / Chunxiang Cao, Min Xu, Patcharin Kamsing, Sornkitja Boonprong, Peera Yomwan, Apitach Saokarn.
2021
GB1399.5.T5
Linked e-resources
Linked Resource
Online Access
Concurrent users
Unlimited
Authorized users
Authorized users
Document Delivery Supplied
Can lend chapters, not whole ebooks
Details
Title
Environmental remote sensing in flooding areas : a case study of Ayutthaya, Thailand / Chunxiang Cao, Min Xu, Patcharin Kamsing, Sornkitja Boonprong, Peera Yomwan, Apitach Saokarn.
ISBN
9789811582028 (electronic bk.)
9811582025 (electronic bk.)
9789811582011
9811582017
9811582025 (electronic bk.)
9789811582011
9811582017
Published
Singapore : Springer Nature, [2021]
Language
English
Description
1 online resource
Other Standard Identifiers
10.1007/978-981-15-8202-8 doi
Call Number
GB1399.5.T5
Dewey Decimal Classification
551.48/90112
Summary
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.
Bibliography, etc. Note
Includes bibliographical references.
Access Note
Access limited to authorized users.
Digital File Characteristics
text file
PDF
Source of Description
Online resource; title from PDF title page (EBSCO, viewed February 15, 2021).
Added Author
Xu, Min, author.
Kamsing, Patcharin, author.
Boonprong, Sornkitja, author.
Yomwan, Peera, author.
Saokarn, Apitach, author.
Kamsing, Patcharin, author.
Boonprong, Sornkitja, author.
Yomwan, Peera, author.
Saokarn, Apitach, author.
Available in Other Form
Print version: 9789811582011
Print version: 9789811582035
Print version: 9789811582042
Print version: 9789811582035
Print version: 9789811582042
Linked Resources
Online Access
Record Appears in
Online Resources > Ebooks
All Resources
All Resources
Table of Contents
Geographical characteristics of Study area
Datasets and data preparation
Flooding identification by vegetation index
Flood identification by Support Vector Machine (SVM)
Improved support vector machine classifier by Particle filter algorithm
Flood related parameters affecting waterborne diseases
Measure of Disease Risk
Modeling Outbreak Risk based on Back Propagation Neural Network (BPNN) algorithm
Application of surveillance communicable diseases risk using Expert system
Conclusions.
Datasets and data preparation
Flooding identification by vegetation index
Flood identification by Support Vector Machine (SVM)
Improved support vector machine classifier by Particle filter algorithm
Flood related parameters affecting waterborne diseases
Measure of Disease Risk
Modeling Outbreak Risk based on Back Propagation Neural Network (BPNN) algorithm
Application of surveillance communicable diseases risk using Expert system
Conclusions.