Application of change detection methods with SAR images in coastal floodin
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Abstract
The most severe coastal flooding recorded in Cuba was caused by the passage of hurricanes. The implementation of ocean models for flood analysis can introduce errors in the forecasts; Some of these errors are the result of the scarcity of data coming from the ocean, in the same way it is subjected to the atmospheric forcing of the winds and heat transfer, therefore; errors that occur in the weather forecast models will cause errors in the associated ocean models. In addition, the detection of flooded areas is carried out through reports made by the affected localities, as well as the analysis of their extension through expeditions, which is unfavorable due to the existence of inaccessible areas. Therefore, it is necessary to implement SAR technology to identify flooded areas.
The implementation of change detection methods, based on amplitude (ACD), and interferometric coherence (CCD), from SAR images; using a specialized software to map coastal floods and analyze their extent. The extension of the coastal flooding obtained with both methods showed excellent results; despite its limitations to achieve a better analysis.
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