Study on the Application of High Resolution Remote Sensing Image in Fast Earthquake Damage Assessment: A Method Based on the Segmentation of the Differences in Regions

2012 ◽  
Author(s):  
Yongmei Zhai ◽  
Qi Zhao ◽  
Sen Wang
Keyword(s):  
Remote Sensing ◽  
High Resolution ◽  
Damage Assessment ◽  
Remote Sensing Image ◽  
Earthquake Damage ◽  
Earthquake Damage Assessment

scholarly journals A fuzzy decision making system for building damage map creation using high resolution satellite imagery

2013 ◽  
Vol 13 (2) ◽  
pp. 455-472 ◽  
Author(s):  
H. Rastiveis ◽  
F. Samadzadegan ◽  
P. Reinartz
Keyword(s):  
High Resolution ◽  
Satellite Imagery ◽  
Damage Assessment ◽  
Fuzzy Inference ◽  
Earthquake Damage ◽  
Fuzzy Decision Making ◽  
Inference System ◽  
High Resolution Satellite Imagery ◽  
Roof Part ◽  
Earthquake Damage Assessment

Abstract. Recent studies have shown high resolution satellite imagery to be a powerful data source for post-earthquake damage assessment of buildings. Manual interpretation of these images, while being a reliable method for finding damaged buildings, is a subjective and time-consuming endeavor, rendering it unviable at times of emergency. The present research, proposes a new state-of-the-art method for automatic damage assessment of buildings using high resolution satellite imagery. In this method, at the first step a set of pre-processing algorithms are performed on the images. Then, extracting a candidate building from both pre- and post-event images, the intact roof part after an earthquake is found. Afterwards, by considering the shape and other structural properties of this roof part with its pre-event condition in a fuzzy inference system, the rate of damage for each candidate building is estimated. The results obtained from evaluation of this algorithm using QuickBird images of the December 2003 Bam, Iran, earthquake prove the ability of this method for post-earthquake damage assessment of buildings.

scholarly journals Crowdsourcing earthquake damage assessment using remote sensing imagery

2012 ◽  
Vol 54 (6) ◽  
Author(s):  
Luke Barrington ◽  
Shubharoop Ghosh ◽  
Marjorie Greene ◽  
Shay Har-Noy ◽  
Jay Berger ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Damage Assessment ◽  
Earthquake Damage ◽  
Remote Sensing Imagery ◽  
Earthquake Damage Assessment

The Seismic Damage Assessment and Information Service System

2012 ◽  
Vol 190-191 ◽  
pp. 329-333
Author(s):  
Zuo Wei Huang ◽  
Yuan Jiang Huang ◽  
Shi Xiong Xie
Keyword(s):  
Remote Sensing ◽  
Damage Assessment ◽  
Service System ◽  
Information Service ◽  
Seismic Damage ◽  
Earthquake Damage ◽  
Extraction Technology ◽  
Database Technology ◽  
Seismic Damage Assessment ◽  
Earthquake Damage Assessment

In order to improve the information extraction technology of seismic damage assessment and information publishing of earthquake damage. Based on past earthquake experience it was constructed technical flow of earthquake damage assessment rapidly, This paper ,take Yushu earthquake as example, studies the framework and establishment of the information service system by means of ArcIMS and distributed database technology. It analysis some key technologies , build web publishing architecture of massive remote sensing images. The system implements joint application of remote sensing image processing technology, database technology and WebGIS technology, The result could provide the important basis for earthquake damage assessment ,emergency management and rescue mission.

scholarly journals High-Resolution Early Earthquake Damage Assessment System for Mexico City Based on a Single-Station

2017 ◽  
Vol 56 (1) ◽  
Author(s):  
Mario Ordaz ◽  
Eduardo Reinoso ◽  
Miguel A. Jaimes ◽  
Leonardo Alcántara ◽  
Citlali Pérez
Keyword(s):  
High Resolution ◽  
Mexico City ◽  
Damage Assessment ◽  
Earthquake Damage ◽  
Assessment System ◽  
Peak Ground Velocity ◽  
Population Database ◽  
Emergency Plans ◽  
Single Station ◽  
Earthquake Damage Assessment

A high-resolution early earthquake damage assessment system is presented for Mexico City based on real-time computations of seismic spectral intensities at a reference site. To obtain intensities for the entire Mexico Valley, pre-calculated response spectral ratios at soft sites are used. The estimates of seismic intensities (peak ground acceleration, peak ground velocity and spectral ordinates for selected structural periods), together with intensity-damage relations for buildings, fatalities and water supply network were used to obtain the spatial distribution of expected damage throughout the city. The process takes approximately 10 minutes with no human intervention. Since the available time to carry out all the computations is short, we have built a representative building and population database that concentrates all the information in a square mesh of 400 • 400 m. Results are sent to an Emergency Center and to decision makers to trigger previously set emergency plans and to provide information before emergency plans are in full operation.

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