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001433810 001__ 1433810
001433810 003__ OCoLC
001433810 005__ 20230309003654.0
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001433810 008__ 210212s2021\\\\si\\\\\\ob\\\\000\0\eng\d
001433810 019__ $$a1226782645$$a1227391832$$a1228649982$$a1228844458$$a1232855771
001433810 020__ $$a9789811582028$$q(electronic bk.)
001433810 020__ $$a9811582025$$q(electronic bk.)
001433810 020__ $$z9789811582011
001433810 020__ $$z9811582017
001433810 0247_ $$a10.1007/978-981-15-8202-8$$2doi
001433810 035__ $$aSP(OCoLC)1237362217
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001433810 043__ $$aa-th---
001433810 049__ $$aISEA
001433810 050_4 $$aGB1399.5.T5
001433810 08204 $$a551.48/90112$$223
001433810 1001_ $$aCao, Chunxiang,$$d1964-$$eauthor.
001433810 24510 $$aEnvironmental remote sensing in flooding areas :$$ba case study of Ayutthaya, Thailand /$$cChunxiang Cao, Min Xu, Patcharin Kamsing, Sornkitja Boonprong, Peera Yomwan, Apitach Saokarn.
001433810 264_1 $$aSingapore :$$bSpringer Nature,$$c[2021]
001433810 300__ $$a1 online resource
001433810 336__ $$atext$$btxt$$2rdacontent
001433810 337__ $$acomputer$$bc$$2rdamedia
001433810 338__ $$aonline resource$$bcr$$2rdacarrier
001433810 347__ $$atext file
001433810 347__ $$bPDF
001433810 504__ $$aIncludes bibliographical references.
001433810 5050_ $$aGeographical 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.
001433810 506__ $$aAccess limited to authorized users.
001433810 520__ $$aThis 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.
001433810 588__ $$aOnline resource; title from PDF title page (EBSCO, viewed February 15, 2021).
001433810 650_0 $$aFloods$$xRemote sensing.
001433810 650_0 $$aFlood forecasting.
001433810 650_0 $$aFloods$$zThailand$$zPhra Nakhon Si Ayutthaya.
001433810 650_0 $$aRemote sensing.
001433810 650_0 $$aEnvironmental monitoring.
001433810 650_0 $$aEnvironmental health.
001433810 650_0 $$aEpidemiology.
001433810 650_6 $$aInondations$$xTélédétection.
001433810 650_6 $$aInondations$$xPrévision.
001433810 650_6 $$aTélédétection.
001433810 650_6 $$aEnvironnement$$xSurveillance.
001433810 650_6 $$aÉpidémiologie.
001433810 655_0 $$aElectronic books.
001433810 7001_ $$aXu, Min,$$eauthor.
001433810 7001_ $$aKamsing, Patcharin,$$eauthor.
001433810 7001_ $$aBoonprong, Sornkitja,$$eauthor.
001433810 7001_ $$aYomwan, Peera,$$eauthor.
001433810 7001_ $$aSaokarn, Apitach,$$eauthor.
001433810 77608 $$iPrint version: $$z9789811582011
001433810 77608 $$iPrint version: $$z9789811582035
001433810 77608 $$iPrint version: $$z9789811582042
001433810 852__ $$bebk
001433810 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-15-8202-8$$zOnline Access$$91397441.1
001433810 909CO $$ooai:library.usi.edu:1433810$$pGLOBAL_SET
001433810 980__ $$aBIB
001433810 980__ $$aEBOOK
001433810 982__ $$aEbook
001433810 983__ $$aOnline
001433810 994__ $$a92$$bISE