Abstract

Abstract. After the earthquake in Sarpol-e Zahab city, many people were killed or wounded and many buildings were destroyed. After such a destructive event, it is of great interest to efficiently identify the magnitude and the extent of the damaged areas. Remote sensing is an excellent technology for this purpose. Usually, a higher success rate can be achieved when both pre and post-event data, especially multi-view data, are used. Whereas when only post-event data are available, the detection is usually limited to the block level unless VHR images of a resolution of 0.5 m or higher are involved.The available dataset consists of one Pleiades-1 satellite optical image (post-event), two Sentinel-2 satellite images (pre&post event).After classification of the sentinel images(pre&post event) and preparation change maps by means of SVM and the neural network classification methods, two change maps will be provided. Then, A reference change map is prepared with ROIs. For this purpose, on the Pleiades-1 image (after the earthquake), ROIs in two categories “change” and “no change” are defined. In the last step, using the confusion matrix, two change maps from the Sentinel image are compared to the reference image, and the results are analyzed. The producer’s accuracy for detecting the collapsed buildings in the SVM classification method was found to be 78.34% and for the neural network classification was found to be 72.43%. The results show that the change map of the pre- and post-earthquake medium-resolution satellite images such as Sentinel-2 can reveal the collapsed buildings caused by the earthquake successfully.

Highlights

  • An earthquake is the most significant natural disaster which destroys millions of properties and kills people due to the collapse of buildings and infrastructures in epicentral and surrounding regions

  • Statistics show that the highest casualties of an earthquake in Iran are related to Sarpol-e Zahab and Qasr-e Shirin, the reason for the high death toll in these areas was being near the earthquake center

  • The selected site of study is the city of Sarpol-Zahab, one of the areas most strongly hit by the earthquake

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Summary

Introduction

An earthquake is the most significant natural disaster which destroys millions of properties and kills people due to the collapse of buildings and infrastructures in epicentral and surrounding regions. In this regard, it requires extensive and immediate field investigation to record damage patterns. The area and the amount of damage, the rate of collapsed buildings, the grade of damage in the affected area, and the type of damage occurred by each building are essential information for successful rescue and reconstruction in disaster areas [3] Natural disasters such as earthquakes can take thousands of human lives, cause extensive destruction to infrastructure, flatten buildings, and dramatically change the land surface. Sarpol-e Zahab is one of the border towns of Kermanshah

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