Uncertainty Analysis of Flood Disaster Assessment using Remote Sensing Data

Flooding is a paroxysmal natural disaster, which results in vast damage to economy in China every year. Precise loss assessment 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. This study focuses on several factors which are crucial to the automatic extraction of inundated areas in the process of disaster monitoring, and performs 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. It has been concluded that spatial resolution, ground scale, and boundary complexity of inundated area are three important factors that cause the uncertainty of the flood loss assessment using remotely sensed data.