The use of Aster satellite images and SVM technique in zoning and prioritizing worn-out urban fabric against earthquakes (Case example of Region ۳ of Kerman city)

Earthquake is one of the basic natural calamities of today's era, which always happens in a very short period of time and sometimes has irreparable results. Today, the vulnerability of cities and especially old and worn-out structures to earthquakes is a global issue facing experts in various fields. This situation has been manifested in a more serious way in countries with risky natural structures, including Iran, during the past decades. As a result, although it is not possible to prevent an earthquake, it is possible to reduce the damage caused by it. The experience of earthquakes in recent decades has shown that a major part of the damages caused by earthquakes can be due to the lack of proper knowledge of vulnerable points, in fact, for proper knowledge and evaluation, study and sufficient background of information is required. And reliable knowledge is required. Since the city of Kerman is located in the tectonic zone of central Iran and has large and deep faults and fractures from the geological point of view, as well as the existence of unsuitable materials for buildings and houses, dilapidated residential units, high age Buildings, inappropriate accesses and winding passages in the areas of worn-out fabric can be the source of huge crises, severe damages and casualties, therefore, due to the vulnerability of the city and especially the worn-out fabric against earthquakes, in this research First, by using the ASTER satellite images of ۲۰۰۷, the worn-out textures of Kerman city were identified.

کلیدواژه ها:

Vulnerability ، Worn Texture ، Earthquake ، remote sensing ، Vector Machine Classification