Uncertainty analysis of flood disaster assessment using radar imagery

Flood is a paroxysmal natural disaster, which results in vast damage to economy in China every year. Precise loss evaluation is an effective method to alleviate the loss. The inundated area, on which loss evaluation is based, is the most fundamental element to evaluate the loss caused by floods, and is a critical step to control the precision of the loss evaluation. Satellite SAR imagery is broadly used in monitoring and evaluating flood disaster. Spatial resolutions of radar images and ground scale are crucial to the extraction of inundated area in the process of disaster monitoring. In order to calculate the error of the statistic of submerged areas in the process of remote sensing disaster monitoring using Radarsat imagery, we take the Airborne SAR image as ground truth data and calculate the error brought by radarsat data, we get the explicit error finally. By performing the test and precision appraisal of the remote sensing monitoring process aiming at the same study area and the same disaster event, and promotes the precision and credibility of remote sensing monitoring.