Method and equipment for monitoring fall damage of farm houses in earthquake stricken area

Abstract

The invention discloses a method and equipment for monitoring fall damage of farm houses in an earthquake stricken area. The method comprises the following steps of identifying house structures of the farm houses according to remote-sensing images before the disaster; dividing the farm houses with the same house structure in the same seismic intensity area into the same block; interpreting remote-sensing images after the disaster and determining a first ratio of the farm houses of different damage types in each block according to an interpreted result; determining a second ratio of the farm houses of different damage types in each block according to survey data of a disaster scene; and determining a final ratio of the farm houses of different damage types in each block according to the first ratio and the second ratio. According to the method and the equipment, the damage condition of the farm houses in the disaster area can be more objectively and accurately mastered, and the damage condition of the farm houses in the whole disaster area can be mastered by utilizing the incomplete remote-sensing data especially under the condition that the remote-sensing data cannot cover the whole disaster area.

Description

technical field [0001] The invention relates to the field of earthquake disaster loss assessment, in particular to a method and equipment for monitoring collapse of farm buildings in earthquake-stricken areas. Background technique [0002] The frequent occurrence of earthquakes in our country has caused a large number of farm houses to collapse, causing huge loss of life and property in rural areas, and seriously affecting the sustainable development of society. The number of farm house collapses is an important part of the comprehensive earthquake loss assessment and an important basis for national disaster relief and reconstruction. [0003] At present, local reported data and field survey data are usually used to determine the number of farm house collapses. However, this method that only relies on human investigation often has the problem of being unable to obtain real data at the first time due to the interruption of traffic and communication in the disaster area. [...

AI Technical Summary

Problems solved by technology

However, when a major earthquake occurs, it is difficult to obtain high-resolution remote sensing data covering the entire earthquake-stricken area at the first time, which makes it very difficult to determine the number of farm buildings in the entire disaster area.

Images