A study of waterborne diseases during flooding using Radarsat-2 imagery and a back propagation neural network algorithm
Flood disasters are closely associated with an increased risk of infection, particularly from waterborne diseases. Most studies of waterborne diseases have relied on the direct determination of pathogens in contaminated water to assess disease risk. In contrast, this study aims to use an indirect as...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2015-05-01
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| Series: | Geomatics, Natural Hazards & Risk |
| Online Access: | http://dx.doi.org/10.1080/19475705.2013.853325 |