A comprehensive review of earthquake-induced building damage detection with remote sensing techniques

L Dong, J Shan - ISPRS Journal of Photogrammetry and Remote …, 2013 - Elsevier
Earthquakes are among the most catastrophic natural disasters to affect mankind. One of the
critical problems after an earthquake is building damage assessment. The area, amount …

A comprehensive review of geospatial technology applications in earthquake preparedness, emergency management, and damage assessment

M Shafapourtehrany, M Batur, F Shabani, B Pradhan… - Remote Sensing, 2023 - mdpi.com
The level of destruction caused by an earthquake depends on a variety of factors, such as
magnitude, duration, intensity, time of occurrence, and underlying geological features, which …

Landslide detection of hyperspectral remote sensing data based on deep learning with constrains

C Ye, Y Li, P Cui, L Liang, S Pirasteh… - IEEE Journal of …, 2019 - ieeexplore.ieee.org
Detecting and monitoring landslides are hot topics in remote sensing community, particularly
with the development of remote sensing technologies and the significant progress of …

Building change detection in multitemporal very high resolution SAR images

C Marin, F Bovolo, L Bruzzone - IEEE transactions on …, 2014 - ieeexplore.ieee.org
The increasing availability of very high resolution (VHR) images regularly acquired over
urban areas opens new attractive opportunities for monitoring human settlements at the …

Post-earthquake response by small UAV helicopters

A Nedjati, B Vizvari, G Izbirak - Natural Hazards, 2016 - Springer
The aim of this study was to introduce a new relief distribution system for emergency
response after an earthquake. Extensive literature is used to explain the ground …

[HTML][HTML] Coherence change-detection with sentinel-1 for natural and anthropogenic disaster monitoring in urban areas

P Washaya, T Balz, B Mohamadi - Remote Sensing, 2018 - mdpi.com
Rapid, reliable, and continuous information is an essential component in disaster monitoring
and management. Remote sensing data could be a solution, but often cannot provide …

A comparative study of texture and convolutional neural network features for detecting collapsed buildings after earthquakes using pre-and post-event satellite …

M Ji, L Liu, R Du, MF Buchroithner - Remote Sensing, 2019 - mdpi.com
The accurate and quick derivation of the distribution of damaged building must be
considered essential for the emergency response. With the success of deep learning, there …

Resolving rupture processes of great earthquakes: Reviews and perspective from fast response to joint inversion

H Yue, Y Zhang, Z Ge, T Wang, L Zhao - Science China Earth Sciences, 2020 - Springer
Resolving rupture processes of great earthquakes has fundamental importance to the study
of earthquake physics, rupture dynamics, fault zone structure, and evolving processes. It …

Small scale landslide detection using Sentinel-1 interferometric SAR coherence

M Tzouvaras, C Danezis, DG Hadjimitsis - Remote Sensing, 2020 - mdpi.com
Infrastructure is operational under normal circumstances and is designed to cope with
common natural disruptions such as rainfall and snow. Natural hazards can lead to severe …

A New Method for The Identification of Earthquake-damaged Buildings Using Sentinel-1 Multi-temporal Coherence Optimized by Homogeneous SAR Pixels and …

H Liu, C Song, Z Li, Z Liu, L Ta, X Zhang… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
Emergency response after earthquakes, especially rapid access to building damage
information, is of great significance to ensure timely rescue and reduce casualties. However …