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010   $a981-15-8202-5
024 7 $a10.1007/978-981-15-8202-8
035   $a(CKB)5340000000066941
035   $a(DE-He213)978-981-15-8202-8
035   $a(MiAaPQ)EBC6424523
035   $a(PPN)252513134
035   $a(EXLCZ)995340000000066941
100   $a20210602d2021      uy             0
101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aEnvironmental remote sensing in flooding areas $ea case study of Ayutthaya, Thailand /$fChunxiang Cao [and five others]
205   $a1st ed. 2021.
210  1$aSingapore :$cSpringer,$d[2021]
210  4$d©2021
215   $a1 online resource (XI, 148 p. 55 illus., 38 illus. in color.) 
311   $a981-15-8201-7 
327   $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.
330   $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.
606   $aFloods$xRemote sensing
606   $aFlood forecasting
615  0$aFloods$xRemote sensing.
615  0$aFlood forecasting.
676   $a363.3
700   $aCao$b Chunxiang$01226589
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bUtOrBLW
906   $aBOOK
912   $a9910484452503321
996   $aEnvironmental remote sensing in flooding areas$92848023
997   $aUNINA