کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4465052 | 1621846 | 2012 | 11 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: Flood detection and mapping of the Thailand Central plain using RADARSAT and MODIS under a sensor web environment Flood detection and mapping of the Thailand Central plain using RADARSAT and MODIS under a sensor web environment](/preview/png/4465052.png)
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.
► We propose flood detection and mapping coupling MODIS and RADARSAT under sensor web.
► The above method is used to generate dynamically near-real-time flood maps.
► We demonstrate the proposed method in the Thailand Central plain.
► The proposed method achieves instant and automatic flood detection and mapping.
Journal: International Journal of Applied Earth Observation and Geoinformation - Volume 14, Issue 1, February 2012, Pages 245–255