洪水遥感诊断——以泰国大城为例
￥ 120.4 7.2折 ￥ 168 全新
库存7件
四川成都
认证卖家担保交易快速发货售后保障
作者曹春香 等
出版社高等教育出版社
ISBN9787040553178
出版时间2021-03
装帧精装
开本16开
定价168元
货号1202296066
上书时间2024-07-03
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目录
Part Ⅰ Flooding Identification Method
1 Geographical Characteristics of the Study Area
1.1 Characteristics of the Ayutthaya Province
1.2 Thailand Major Flood Event of 2011
1.3 Environmental Remote Sensing of Flooding Area
1.4 References
2 Datasets and Data Preparation
2.1 Remote Sensing Datasets and Preprocessing
2.1.1 Image Enhancement or Radiometric Correction
2.1.2 Georeferencing or Geometric Correction
2.2 Flood Water Quality Data
2.3 Morbidity Data
2.4 Summary
References
3 Flooding Identification by Vegetation Index
3.1 Flooding Identification from Multispectral Images
3.2 Flooding Identification from SAR Images
3.3 Multi-temporal Remote Sensing Data for Flooding Identification
3.4 Summary
References
4 Flooding Identification by Support Vector Machine
4.1 Support Vector Machine
4.2 Affecting Parameters of the SVM Classifier
4.3 Summary
References
5 Improved Support Vector Machine Classifier Through a Particle Filter Algorithm
5.1 Linear Dynamics Systems
5.1.1 Linear Continuous Systems
5.1.2 Discrete Linear Systems
5.2 Random Process and Stochastic Systems to Model State Estimation
5.2.1 Probability,Random Variables,and Their Statistical Properties
5.2.2 Statistical Properties of Random Processes and Random Sequence
5.2.3 Linear System Models of Random Processes and Random Sequences
5.3 Particle Filter Algorithm
5.4 A Support Vector Machine-Based Particle Filter (SVM-PF)
5.5 A SVM-PF Applied in the Study Area
5.6 Measured Results of the SVM-PF in Water Identification of Flooding Area
5.6.1 Reference Dataset
5.6.2 Accuracy Assessment
5.7 An In-House Classifier for All Land Cover--CANFET
5.7.1 Important Theories and Concepts
5.7.2 Original CANFET
5.7.3 Simplified CANFET
5.7.4 Direct-Matching CANFET
5.8 Summary
References
Part Ⅱ Waterborne Diseases Caused by Flooding Disasters
6 Flood-Related Parameters Affecting Waterborne Diseases
6.1 Flood Parameters Derived from Multi-temporal Remote Sensing Data
6.2 Population Variables
6.3 Flood Water Quality
6.3.1 Inverse Distance Weighting for Spatial Distribution
6.3.2 Spatial Distribution of Dissolved Oxygen
6.4 Summary
References
7 Measure of Disease Risk
7.1 Waterborne Diseases Caused by Flooding
7.2 Disease Risk Assessment
7.3 Outbreak Detection Methods
7.4 Estimation of Outbreak Risk Using Risk Ratio Function
7.5 Summary
References
8 Modeling Outbreak Risk Based on the Back Propagation Neural Network (BPNN) Algorithm
8.1 Back Propagation Neural Network (BPNN)
8.2 A Multilayer Feed-Forward Neural Network
8.3 Back Propagation
8.4 Modeling Outbreak Risk Based on BPNN
8.4.1 Initial Analysis of Input and Reference Data
8.4.2 Results of Training and Testing the BPNN
8.5 Summary
References
9 Application of Surveillance of Communicable Disease Risk Using Expert Systems
9.1 Introduction to the Expert System
9.2 Integrated Expert System for Surveillance of Communicable Disease Risk
9.2.1 Expert System for Diagnosis Design
9.2.2 Expert System for Diagnosis Evaluation
9.3 Summary
References
10 Conclusions and Discussions
10.1 Summary of Major Results
10.1.1 Flood Identification
10.1.2 Waterborne Diseases Caused by Flooding Disasters
10.2 Further Work
References
内容摘要
洪灾是世界上分布区域很广、破坏性优选的自然灾害之一，基于遥感技术监测洪灾面积、评估灾害损失的研究始于20世纪80年代后期。随着近30年的技术发展，洪灾遥感监测及灾后传染病预测领域的研究取得了一定的进展。本书系统介绍了洪水淹没区识别及洪灾引起的水源性传染病暴发风险监测方法。全书以2011年泰国大城地区洪灾为例，介绍了基于遥感技术的洪水淹没区识别方法和基于地理信息系统等空间信息技术的洪灾区水源性疾病监测预警系统。本书具有较强的实用性，可为地学、遥感科学、传染病学和空间分析领域的科研人员提供参考，也可为灾害治理部门的科学决策提供支撑。
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