Rapid post-earthquake damage assessment platform based on UAV and GIS

2021 ◽  
Author(s):  
Ivo Haladin ◽  
Mislav Stepinac ◽  
Mateo Gašparović ◽  
Nenad Trifunović ◽  
Milan Domazet
Keyword(s):  
Damage Assessment ◽  
Earthquake Damage ◽  
Earthquake Damage Assessment

The September 7, 2017 Tehuantepec, Mexico, earthquake: Damage assessment in masonry structures for housing

2021 ◽  
Vol 56 ◽  
pp. 102123
Author(s):  
Eber Alberto Godínez-Domínguez ◽  
Arturo Tena-Colunga ◽  
Luis Eduardo Pérez-Rocha ◽  
Hans Israel Archundia-Aranda ◽  
Alonso Gómez-Bernal ◽  
...  
Keyword(s):  
Damage Assessment ◽  
Earthquake Damage ◽  
Masonry Structures ◽  
Mexico Earthquake ◽  
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

Earthquake damage assessment for deterministic scenarios in Iquique, Chile

2018 ◽  
Vol 92 (3) ◽  
pp. 1433-1461 ◽  
Author(s):  
Paula Aguirre ◽  
Jorge Vásquez ◽  
Juan Carlos de la Llera ◽  
Juan González ◽  
Gabriel González
Keyword(s):  
Damage Assessment ◽  
Earthquake Damage ◽  
Earthquake Damage Assessment
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