Sensing Damage Index And Ground Surveys Damage Index, Quantitative Research

Earthquake is a natural disaster occurred suddenly and can be dangerous to people's lives and property. A destructive earthquake may cause a lot of property loss in less than a minute. The government, the public and the scientists would like to know the damage range and severity as soon as possible, which may be helpful for the rescuing and reconstruction of the damage area. Many earthquakes indicate that right emergency measure can reduce the loss in a certain degree and can reduce the life loss especially. The more quickly that the accurate information of earthquake damage can be obtained, the more right decision can be made after the earthquake. Then, it is just important to obtain the damage information after the earthquake.The remote sensing technology has a wide view, rarely affected by the ground activity, and the image can be obtained easily, which mirror the objective world entirely and intuitionally. And the remote sensing image can be an information source for earthquake damage rapid estimation. Applying remote sensing technology to estimate the damage caused by earthquake can be convenient, rapid and can achieve high efficiency. Therefore, how to apply the remote sensing technology to extract damage information is always the topic concerned by people. Now there are two kinds of method to extract the damage information from the remote sensing image, visual interpreta- tion and auto or semi-auto extract the damage information throw the digital image processing. The research of the application of remote sensing technology to abstract damage information from the images focuses on the displaying of damage area and the undamaged area in different colors. There is no effective index to indicate the different damage degree in a quantitative way, although an index called collapse rate can description the damage quantitatively in a certain degree. For example, two damage areas can have same collapse rate, but the damage degree or the loss can be different because of the different types of buildings. Then in this case, collapse rate is not an effective index. According to this, the author proposed a new index called Remote Sensing Damage Index (RSDI) to measure the damage degree in quantitative way. To apply the new index, the author collected the investigation material and remote sensing images of the Bachu-Jiashi Earthquake Ms6.8 occurred on Feb.24th, 2003 in Xinjiang Autonomous Region, China. After processing the field investigation data and remote sensing images, a relation model between RSDI and CMDI based on the groud survey was obtained. Then, the factor resolution of images was taken to account to make the model better.In detail, the research content can be listed here:1 According to the concept of Compositive Mean Damage Index, an index called Remote Sensing Damage Index was proposed and the model of calculating it was established. .2 The model of relation between different type buildings'Mean Damage Index in West China was established.3 Take the Bachu-Jiashi Ms6.8 earthquake which occurred on Feb.24th, 2003 as an example, the field investigation data and the aerial photos was processed. Then, a model of relation between the RSDI and CMDI was obtained.4 Take the resolution of the aerial photos as a factor to account, the author made the relation between the RSDI and CMDI better.