@article{1433810,
      author = {Cao, Chunxiang, and Xu, Min, and Kamsing, Patcharin, and  Boonprong, Sornkitja, and Yomwan, Peera, and Saokarn,  Apitach,},
      url = {http://library.usi.edu/record/1433810},
      title = {Environmental remote sensing in flooding areas : a case  study of Ayutthaya, Thailand /},
      abstract = {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.},
      doi = {https://doi.org/10.1007/978-981-15-8202-8},
      recid = {1433810},
      pages = {1 online resource},
}