Journal
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
Volume 14, Issue 1, Pages 245-255Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.jag.2011.09.017
Keywords
Sensor web; Flood detection; Web processing service; Sensor Observation Service; RADARSAT; MODIS
Categories
Funding
- National Basic Research Program of China [2011CB707101]
- Chinese 863 program [2011AA010500]
- National Nature Science Foundation of China [41171315, 41023001, 41021061]
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Flooding in general is insignificant event worldwide and also in Thailand. The Central plain, the Northern plain and the northeast of Thailand are frequently flooded areas, caused by yearly monsoons. The Thai government has extra expenditure to provide disaster relief and for the restoration of flood affected structures, persons, livestock, etc. Current flood detection in real time or near real time has become a challenge in the flood emergency response. In this paper, an automatic instant time flood detection approach consisting of a data retrieval service, flood sensor observation service (SOS), flood detection web processing service (WPS) under a sensor web environment, is presented to generate dynamically real-time flood maps. A scenario of a RADARSAT and MODIS sensor web data service for flood detection cover of the Thailand Central plain is used to test the feasibility of the proposed framework. MODIS data are used to overview the wide area, while RADARSAT data are used to classify the flood area. The proposed framework using the transactional web coverage service (WCS-T) for instant flood detection processes dynamic real-time remote sensing observations and generates instant flood maps. The results show that the proposed approach is feasible for automatic instant flood detection. (C) 2011 Elsevier B.V. All rights reserved.
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