Articles | Volume 17, issue 11
https://doi.org/10.5194/nhess-17-1961-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/nhess-17-1961-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
20 Nov 2017
Research article |
| 20 Nov 2017
A method for using unmanned aerial vehicles for emergency investigation of single geo-hazards and sample applications of this method
Haifeng Huang
Hubei Key Laboratory of Intelligent Vision Based Monitoring for
Hydroelectric Engineering, China Three Gorges University, Yichang 443002,
China
Key Laboratory of Disaster Prevention and Mitigation of Hubei
Province, China Three Gorges University, Yichang 443002, China
National Field Observation and Research Station of Landslides in
the Three Gorges Reservoir Area of Yangtze River, China Three Gorges
University, Yichang 443002, China
Jingjing Long
CORRESPONDING AUTHOR
Key Laboratory of Disaster Prevention and Mitigation of Hubei
Province, China Three Gorges University, Yichang 443002, China
National Field Observation and Research Station of Landslides in
the Three Gorges Reservoir Area of Yangtze River, China Three Gorges
University, Yichang 443002, China
Wu Yi
National Field Observation and Research Station of Landslides in
the Three Gorges Reservoir Area of Yangtze River, China Three Gorges
University, Yichang 443002, China
Collaborative Innovation Center for Geo-Hazards and Eco-Environment
in the Three Gorges Area of Hubei Province, Yichang 443002, China
Qinglin Yi
National Field Observation and Research Station of Landslides in
the Three Gorges Reservoir Area of Yangtze River, China Three Gorges
University, Yichang 443002, China
Collaborative Innovation Center for Geo-Hazards and Eco-Environment
in the Three Gorges Area of Hubei Province, Yichang 443002, China
Guodong Zhang
National Field Observation and Research Station of Landslides in
the Three Gorges Reservoir Area of Yangtze River, China Three Gorges
University, Yichang 443002, China
Collaborative Innovation Center for Geo-Hazards and Eco-Environment
in the Three Gorges Area of Hubei Province, Yichang 443002, China
Bangjun Lei
Hubei Key Laboratory of Intelligent Vision Based Monitoring for
Hydroelectric Engineering, China Three Gorges University, Yichang 443002,
China
Viewed
Total article views: 3,247 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 06 Feb 2017)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,632 | 1,448 | 167 | 3,247 | 124 | 144 |
- HTML: 1,632
- PDF: 1,448
- XML: 167
- Total: 3,247
- BibTeX: 124
- EndNote: 144
Total article views: 2,253 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 20 Nov 2017)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,185 | 926 | 142 | 2,253 | 114 | 122 |
- HTML: 1,185
- PDF: 926
- XML: 142
- Total: 2,253
- BibTeX: 114
- EndNote: 122
Total article views: 994 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 06 Feb 2017)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 447 | 522 | 25 | 994 | 10 | 22 |
- HTML: 447
- PDF: 522
- XML: 25
- Total: 994
- BibTeX: 10
- EndNote: 22
Viewed (geographical distribution)
Total article views: 3,247 (including HTML, PDF, and XML)
Thereof 3,020 with geography defined
and 227 with unknown origin.
Total article views: 2,253 (including HTML, PDF, and XML)
Thereof 2,067 with geography defined
and 186 with unknown origin.
Total article views: 994 (including HTML, PDF, and XML)
Thereof 953 with geography defined
and 41 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
30 citations as recorded by crossref.
- Lava flows of Mt Etna, Italy: the 2019 eruption within the context of the last two decades (1999–2019) E. De Beni et al. 10.1080/17445647.2020.1854131
- The influence of volcano topographic changes on infrasound amplitude: lava fountains at Mt. Etna in 2021 A. Iozzia et al. 10.1007/s00445-023-01672-x
- Collecting field data in volcanic landscapes using small UAS (sUAS)/drones B. Jordan 10.1016/j.jvolgeores.2019.07.006
- Index establishment and capability evaluation of space–air–ground remote sensing cooperation in geohazard emergency response Y. Liu & J. Zhang 10.5194/nhess-22-227-2022
- A multi-feature fusion transfer learning method for displacement prediction of rainfall reservoir-induced landslide with step-like deformation characteristics J. Long et al. 10.1016/j.enggeo.2021.106494
- Modelling enablers of the post-disaster recovery of road infrastructure using ISM and fuzzy MICMAC analysis G. Kabra 10.1016/j.matpr.2023.06.458
- Use of multi-source remote sensing images to describe the sudden Shanshucao landslide in the Three Gorges Reservoir, China H. Huang et al. 10.1007/s10064-018-1261-2
- Applications of UAV Digital Photogrammetry in landslide emergency response and recovery activities: the case study of a slope failure in the A-7 highway (S Spain) J. Galve et al. 10.1007/s10346-024-02449-9
- Review article: the use of remotely piloted aircraft systems (RPASs) for natural hazards monitoring and management D. Giordan et al. 10.5194/nhess-18-1079-2018
- Validating UAS-Based Photogrammetry with Traditional Topographic Methods for Surveying Dune Ecosystems in the Spanish Mediterranean Coast L. Bañón et al. 10.3390/jmse7090297
- Solving environmental monitoring problems using a miniature four-axis unmanned flying platform J. Wan & A. Chernikov 10.1088/1755-1315/864/1/012030
- UAV Application for Typhoon Damage Assessment in Construction Sites C. Wang et al. 10.3390/app12136293
- Rockfall mapping and susceptibility evaluation based on UAV high-resolution imagery and support vector machine method L. Zhao et al. 10.1515/geo-2022-0692
- Hybrid Path Planning for Efficient Data Collection in UAV-Aided WSNs for Emergency Applications S. Poudel & S. Moh 10.3390/s21082839
- Promise of UAV-Assisted Adaptive Management of Water Resources Systems D. Hill & M. Babbar-Sebens 10.1061/(ASCE)WR.1943-5452.0001081
- Robust drone selective routing in humanitarian transportation network assessment G. Zhang et al. 10.1016/j.ejor.2022.05.046
- Shipborne Mobile Photogrammetry for 3D Mapping and Landslide Detection of the Water-Level Fluctuation Zone in the Three Gorges Reservoir Area, China D. Jin et al. 10.3390/rs13051007
- An integrative framework for coordination of damage assessment, road restoration, and relief distribution in disasters M. Farzaneh et al. 10.1016/j.omega.2022.102748
- The humanitarian flying warehouse H. Jeong et al. 10.1016/j.tre.2020.101901
- Mechanism analysis and partition characteristics of a recent highway landslide in Southwest China based on a 3D multi-point deformation monitoring system C. Li et al. 10.1007/s10346-021-01698-2
- Multiperiod Unmanned Aerial Vehicles Path Planning With Dynamic Emergency Priorities for Geohazards Monitoring W. Wang et al. 10.1109/TII.2022.3153031
- Mapping an earthquake-induced landslide based on UAV imagery; case study of the 2015 Okeanos landslide, Lefkada, Greece S. Valkaniotis et al. 10.1016/j.enggeo.2018.08.010
- Guidelines for the use of Unmanned Aerial Systems for fast photogrammetry-oriented mapping in emergency response scenarios M. Mandirola et al. 10.1016/j.ijdrr.2021.102207
- Post-disaster assessment routing problem B. Oruc & B. Kara 10.1016/j.trb.2018.08.002
- UAVs for volcano monitoring: A new approach applied on an active lava flow on Mt. Etna (Italy), during the 27 February–02 March 2017 eruption E. De Beni et al. 10.1016/j.jvolgeores.2018.12.001
- Preface: The use of remotely piloted aircraft systems (RPAS) in monitoring applications and management of natural hazards D. Giordan et al. 10.5194/nhess-18-3085-2018
- Leader–Follower UAV-Assisted WSNs for Improving Data Collection Rate and Shortening Flight Time H. Zhang et al. 10.1109/JSEN.2023.3312733
- Mapping Recent Lava Flows at Mount Etna Using Multispectral Sentinel-2 Images and Machine Learning Techniques C. Corradino et al. 10.3390/rs11161916
- Integrating Unmanned Aircraft Systems into Alaskan Oil Spill Response–Applied Case Studies and Operational Protocols J. Garron & J. Altendorf 10.7901/2169-3358-2021.1.688190
- Seismic Damage Semantics on Post-Earthquake LOD3 Building Models Generated by UAS K. Chaidas et al. 10.3390/ijgi10050345
28 citations as recorded by crossref.
- Lava flows of Mt Etna, Italy: the 2019 eruption within the context of the last two decades (1999–2019) E. De Beni et al. 10.1080/17445647.2020.1854131
- The influence of volcano topographic changes on infrasound amplitude: lava fountains at Mt. Etna in 2021 A. Iozzia et al. 10.1007/s00445-023-01672-x
- Collecting field data in volcanic landscapes using small UAS (sUAS)/drones B. Jordan 10.1016/j.jvolgeores.2019.07.006
- Index establishment and capability evaluation of space–air–ground remote sensing cooperation in geohazard emergency response Y. Liu & J. Zhang 10.5194/nhess-22-227-2022
- A multi-feature fusion transfer learning method for displacement prediction of rainfall reservoir-induced landslide with step-like deformation characteristics J. Long et al. 10.1016/j.enggeo.2021.106494
- Modelling enablers of the post-disaster recovery of road infrastructure using ISM and fuzzy MICMAC analysis G. Kabra 10.1016/j.matpr.2023.06.458
- Use of multi-source remote sensing images to describe the sudden Shanshucao landslide in the Three Gorges Reservoir, China H. Huang et al. 10.1007/s10064-018-1261-2
- Applications of UAV Digital Photogrammetry in landslide emergency response and recovery activities: the case study of a slope failure in the A-7 highway (S Spain) J. Galve et al. 10.1007/s10346-024-02449-9
- Review article: the use of remotely piloted aircraft systems (RPASs) for natural hazards monitoring and management D. Giordan et al. 10.5194/nhess-18-1079-2018
- Validating UAS-Based Photogrammetry with Traditional Topographic Methods for Surveying Dune Ecosystems in the Spanish Mediterranean Coast L. Bañón et al. 10.3390/jmse7090297
- Solving environmental monitoring problems using a miniature four-axis unmanned flying platform J. Wan & A. Chernikov 10.1088/1755-1315/864/1/012030
- UAV Application for Typhoon Damage Assessment in Construction Sites C. Wang et al. 10.3390/app12136293
- Rockfall mapping and susceptibility evaluation based on UAV high-resolution imagery and support vector machine method L. Zhao et al. 10.1515/geo-2022-0692
- Hybrid Path Planning for Efficient Data Collection in UAV-Aided WSNs for Emergency Applications S. Poudel & S. Moh 10.3390/s21082839
- Promise of UAV-Assisted Adaptive Management of Water Resources Systems D. Hill & M. Babbar-Sebens 10.1061/(ASCE)WR.1943-5452.0001081
- Robust drone selective routing in humanitarian transportation network assessment G. Zhang et al. 10.1016/j.ejor.2022.05.046
- Shipborne Mobile Photogrammetry for 3D Mapping and Landslide Detection of the Water-Level Fluctuation Zone in the Three Gorges Reservoir Area, China D. Jin et al. 10.3390/rs13051007
- An integrative framework for coordination of damage assessment, road restoration, and relief distribution in disasters M. Farzaneh et al. 10.1016/j.omega.2022.102748
- The humanitarian flying warehouse H. Jeong et al. 10.1016/j.tre.2020.101901
- Mechanism analysis and partition characteristics of a recent highway landslide in Southwest China based on a 3D multi-point deformation monitoring system C. Li et al. 10.1007/s10346-021-01698-2
- Multiperiod Unmanned Aerial Vehicles Path Planning With Dynamic Emergency Priorities for Geohazards Monitoring W. Wang et al. 10.1109/TII.2022.3153031
- Mapping an earthquake-induced landslide based on UAV imagery; case study of the 2015 Okeanos landslide, Lefkada, Greece S. Valkaniotis et al. 10.1016/j.enggeo.2018.08.010
- Guidelines for the use of Unmanned Aerial Systems for fast photogrammetry-oriented mapping in emergency response scenarios M. Mandirola et al. 10.1016/j.ijdrr.2021.102207
- Post-disaster assessment routing problem B. Oruc & B. Kara 10.1016/j.trb.2018.08.002
- UAVs for volcano monitoring: A new approach applied on an active lava flow on Mt. Etna (Italy), during the 27 February–02 March 2017 eruption E. De Beni et al. 10.1016/j.jvolgeores.2018.12.001
- Preface: The use of remotely piloted aircraft systems (RPAS) in monitoring applications and management of natural hazards D. Giordan et al. 10.5194/nhess-18-3085-2018
- Leader–Follower UAV-Assisted WSNs for Improving Data Collection Rate and Shortening Flight Time H. Zhang et al. 10.1109/JSEN.2023.3312733
- Mapping Recent Lava Flows at Mount Etna Using Multispectral Sentinel-2 Images and Machine Learning Techniques C. Corradino et al. 10.3390/rs11161916
2 citations as recorded by crossref.
Latest update: 08 Jul 2025
Short summary
Unmanned aerial vehicles are widely used in the emergency investigations of major natural hazards in a large area, but less commonly for single geo-hazards. Based on a number of successful practices in the Three Gorges Reservoir area, China, a complete UAV-based emergency investigation method of single geo-hazards is concluded. It can not only greatly reduce the time, strength and risks, but can also provide high-accuracy, high-definition valuable information to support emergency responses.
Unmanned aerial vehicles are widely used in the emergency investigations of major natural...
Altmetrics
Final-revised paper
Preprint