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题名/责任者:

Environmental remote sensing in flooding areas : a case study of Ayutthaya, Thailand = 洪水遥感诊断 : 以泰国大城为例 / Chunxiang Cao, Min Xu, Patcharin Kamsing, Sornkitja Boonprong, Peera Yomwan, Apitach Saokarn.

出版发行项:

北京 : 高等教育出版社, [2021]

ISBN:

9787040553178

载体形态项:

vii,148 pages : illustrations ; 25 cm

变异题名:

洪水遥感诊断 : 以泰国大城为例

个人责任者:

Cao, Chunxiang 1964- author

附加个人名称:

Xu, Min, author

附加个人名称:

Kamsing, Patcharin, author

附加个人名称:

Boonprong, Sornkitja, author

附加个人名称:

Yomwan, Peera, author

附加个人名称:

Saokarn, Apitach, author

论题主题:

Floods.

论题主题:

Flood forecasting.

论题主题:

Remote sensing.

论题主题:

Environmental monitoring.

论题主题:

Environmental health.

论题主题:

Epidemiology.

中图法分类号:

P426.616

一般附注:

国家科学技术学术著作出版基金资助出版.

书目附注:

Includes bibliographical references.

内容附注:

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

摘要附注:

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

豆瓣简介：