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Titlebook: Environmental Remote Sensing in Flooding Areas; A Case Study of Ayut Chunxiang Cao,Min Xu,Apitach Saokarn Book 2021 Higher Education Press

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書目名稱Environmental Remote Sensing in Flooding Areas
副標(biāo)題A Case Study of Ayut
編輯Chunxiang Cao,Min Xu,Apitach Saokarn
視頻videohttp://file.papertrans.cn/313/312869/312869.mp4
概述Offers flooding area identification using remote sensing and GIS technology.Provides flood-borne epidemic disease prediction.Presents flood risk assessment in Thailand
圖書封面Titlebook: Environmental Remote Sensing in Flooding Areas; A Case Study of Ayut Chunxiang Cao,Min Xu,Apitach Saokarn Book 2021 Higher Education Press
描述.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..
出版日期Book 2021
關(guān)鍵詞Flood Assessment; Remote Sensing; Epidemic Disease; Geographical Information System; Spatial Information
版次1
doihttps://doi.org/10.1007/978-981-15-8202-8
isbn_softcover978-981-15-8204-2
isbn_ebook978-981-15-8202-8
copyrightHigher Education Press and Springer Nature Singapore Pte Ltd. 2021
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Achieving Sustainable Workplace Wellbeingography and drainage of Thailand. Northern Thailand contains many mountains, which extend along the Myanmar border down through the Kra Isthmus and the Malay Peninsula. The central part of Thailand covers a lowland area drained by the Chao Phraya River and its tributaries, the country’s principal ri
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Achieving the Millennium Development Goalshe exact position of an object. Some other works apply it to estimated parameters before feeding those parameters into their considered system. The aim of this chapter is to understand a constructed state estimation as an advantage in constructing the Support Vector Machine based on a Particle Filte
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https://doi.org/10.1007/978-981-15-8202-8Flood Assessment; Remote Sensing; Epidemic Disease; Geographical Information System; Spatial Information
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978-981-15-8204-2Higher Education Press and Springer Nature Singapore Pte Ltd. 2021
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https://doi.org/10.1007/978-1-4842-3099-2Support Vector Machine (SVM) is an advanced algorithm and widely used in many applications. In this chapter, Support Vector Machines (SVMs) are described.
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