Automatic Post-Disaster Damage Mapping Using Deep-Learning Techniques for Change Detection: Case Study of the Tohoku Tsunami

JOURNAL ARTICLE published 10 May 2019 in Remote Sensing

Authors: Jérémie Sublime | Ekaterina Kalinicheva

Towards Operational Satellite-Based Damage-Mapping Using U-Net Convolutional Network: A Case Study of 2011 Tohoku Earthquake-Tsunami

JOURNAL ARTICLE published 12 October 2018 in Remote Sensing

Authors: Yanbing Bai | Erick Mas | Shunichi Koshimura

A Rapid Self-Supervised Deep-Learning-Based Method for Post-Earthquake Damage Detection Using UAV Data (Case Study: Sarpol-e Zahab, Iran)

JOURNAL ARTICLE published 26 December 2022 in Remote Sensing

Authors: Narges Takhtkeshha | Ali Mohammadzadeh | Bahram Salehi

Post-Disaster Building Database Updating Using Automated Deep Learning: An Integration of Pre-Disaster OpenStreetMap and Multi-Temporal Satellite Data

JOURNAL ARTICLE published 19 October 2019 in Remote Sensing

Authors: Saman Ghaffarian | Norman Kerle | Edoardo Pasolli | Jamal Jokar Arsanjani

Unsupervised Change Detection Analysis in Satellite Image Time Series Using Deep Learning Combined With Graph-Based Approaches

JOURNAL ARTICLE published 2020 in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Authors: Ekaterina Kalinicheva | Dino Ienco | Jeremie Sublime | Maria Trocan

Automatic Mapping of Thermokarst Landforms from Remote Sensing Images Using Deep Learning: A Case Study in the Northeastern Tibetan Plateau

JOURNAL ARTICLE published 19 December 2018 in Remote Sensing

Authors: Lingcao Huang | Lin Liu | Liming Jiang | Tingjun Zhang

Unsupervised Satellite Image Time Series Clustering Using Object-Based Approaches and 3D Convolutional Autoencoder

JOURNAL ARTICLE published 4 June 2020 in Remote Sensing

Authors: Ekaterina Kalinicheva | Jérémie Sublime | Maria Trocan

Tsunami Damage Mapping and Assessment in Sumatra Using Remote Sensing and GIS Techniques

PROCEEDINGS ARTICLE published July 2006 in 2006 IEEE International Symposium on Geoscience and Remote Sensing

Authors: P. Chen | S. Liew | L. Kwoh

Detection of Geothermal Potential Zones Using Remote Sensing Techniques

JOURNAL ARTICLE published 16 October 2019 in Remote Sensing

Spatial–Temporal Analysis of Land Cover Change at the Bento Rodrigues Dam Disaster Area Using Machine Learning Techniques

JOURNAL ARTICLE published 30 October 2019 in Remote Sensing

Authors: Dong Luo | Douglas G. Goodin | Marcellus M. Caldas

Rapid Earthquake Damage Detection Using Deep Learning from VHR Remote Sensing Images

PROCEEDINGS ARTICLE published July 2019 in IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium

Authors: Ujwala Bhangale | Surya Durbha | Abhishek Potnis | Rajat Shinde

Forest Damage Assessment Using Deep Learning on High Resolution Remote Sensing Data

JOURNAL ARTICLE published 22 August 2019 in Remote Sensing

Authors: Zayd Mahmoud Hamdi | Melanie Brandmeier | Christoph Straub

Multi-Hazard Exposure Mapping Using Machine Learning Techniques: A Case Study from Iran

JOURNAL ARTICLE published 20 August 2019 in Remote Sensing

Research funded by This research was supported by the GIS research group, Ton Duc Thang university, Ho Chi Minh city, Vietnam (HDLD/2018)

Authors: Omid Rahmati | Saleh Yousefi | Zahra Kalantari | Evelyn Uuemaa | Teimur Teimurian | Saskia Keesstra | Tien Pham | Dieu Tien Bui

Integrated Disaster Risk Management for Flood Detection on Remote Sensing Images using Deep Learning techniques

JOURNAL ARTICLE published 19 September 2023 in Global NEST: the international Journal

DEEP LEARNING FOR AUTOMATIC BUILDING DAMAGE ASSESSMENT: APPLICATION IN POST-DISASTER SCENARIOS USING UAV DATA

JOURNAL ARTICLE published 17 June 2021 in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences

Authors: A. Calantropio | F. Chiabrando | M. Codastefano | E. Bourke

Towards UAV-Based Post-Disaster Damage Detection and Localization: Hurricane Sally Case Study

COMPONENT published 3 January 2022

Automatic Damage Detection and Diagnosis for Hydraulic Structures Using Drones and Artificial Intelligence Techniques

JOURNAL ARTICLE published 20 January 2023 in Remote Sensing

Research funded by the National Key R&D Program of China (2022YFC3202602) | National Natural Science Foundation of China (U2040205) | China Postdoctoral Science Foundation (2022M720998) | the Natural Science Foundation of Jiangsu Province (BK20220978) | Jiangsu Funding Program for Excellent Postdoctoral Talent (2022ZB176)

Authors: Yantao Zhu | Hongwu Tang

Land Cover Change Detection from High-Resolution Remote Sensing Imagery Using Multitemporal Deep Feature Collaborative Learning and a Semi-supervised Chan–Vese Model

JOURNAL ARTICLE published 26 November 2019 in Remote Sensing

Research funded by National Natural Science Foundation of China (41801323,41701511)

Authors: Xiaokang Zhang | Wenzhong Shi | Zhiyong Lv | Feifei Peng

Efficient building damage assessment from post-disaster aerial video using lightweight deep learning models

JOURNAL ARTICLE published 17 November 2023 in International Journal of Remote Sensing

Research funded by Natural Science Foundation of Hubei Province of China (2023AFB351) | National Natural Science Foundation of China Major Program (42192580)

Authors: Chaoxian Liu | Haigang Sui | Shan Zeng

Glacier Facies Mapping Using a Machine-Learning Algorithm: The Parlung Zangbo Basin Case Study

JOURNAL ARTICLE published 22 February 2019 in Remote Sensing

Research funded by National Natural Science Foundation of China (91737205)

Authors: Jingxiao Zhang | Li Jia | Massimo Menenti | Guangcheng Hu