Articles | Volume 22, issue 2
https://doi.org/10.5194/nhess-22-481-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-22-481-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
16 Feb 2022
Research article |
| 16 Feb 2022
| 16 Feb 2022
Automated determination of landslide locations after large trigger events: advantages and disadvantages compared to manual mapping
David G. Milledge
CORRESPONDING AUTHOR
School of Engineering, Newcastle University, Newcastle upon Tyne, UK
Dino G. Bellugi
Department of Geography, University of California, Berkeley, Berkeley, CA, USA
Jack Watt
Institute of Hazard, Risk and Resilience, Durham University, Durham, UK
Department of Geography, Durham University, Durham, UK
Alexander L. Densmore
Institute of Hazard, Risk and Resilience, Durham University, Durham, UK
Department of Geography, Durham University, Durham, UK
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Cited
14 citations as recorded by crossref.
- Identifying recurrent and persistent landslides using satellite imagery and deep learning: A 30-year analysis of the Himalaya T. Chen et al. 10.1016/j.scitotenv.2024.171161
- The unsuPervised shAllow laNdslide rapiD mApping: PANDA method applied to severe rainfalls in northeastern appenine (Italy) D. Notti et al. 10.1016/j.jag.2024.103806
- Role of landslide sampling strategies in susceptibility modelling: types, comparison and mechanism J. Thanveer et al. 10.1007/s10064-024-03851-2
- Mapping land-use and land-cover changes through the integration of satellite and airborne remote sensing data M. Lin et al. 10.1007/s10661-024-12424-5
- Using Sentinel-1 radar amplitude time series to constrain the timings of individual landslides: a step towards understanding the controls on monsoon-triggered landsliding K. Burrows et al. 10.5194/nhess-22-2637-2022
- Mapping landslides from space: A review A. Novellino et al. 10.1007/s10346-024-02215-x
- Landslides Triggered by Medicane Ianos in Greece, September 2020: Rapid Satellite Mapping and Field Survey S. Valkaniotis et al. 10.3390/app122312443
- The landslide traces inventory in the transition zone between the Qinghai-Tibet Plateau and the Loess Plateau: a case study of Jianzha County, China T. Li et al. 10.3389/feart.2024.1370992
- Exploration of Multi-Decadal Landslide Frequency and Vegetation Recovery Conditions Using Remote-Sensing Big Data M. Aman et al. 10.1007/s41748-024-00432-x
- ML-CASCADE: A machine learning and cloud computing-based tool for rapid and automated mapping of landslides using earth observation data N. Sharma & M. Saharia 10.1007/s10346-024-02360-3
- Size scaling of large landslides from incomplete inventories O. Korup et al. 10.5194/nhess-24-3815-2024
- Establishing a Landslide Traces Inventory for the Baota District, Yan’an City, China, Using High-Resolution Satellite Images S. Zhang et al. 10.3390/land13101580
- Review of landslide inventories for Nepal between 2010 and 2021 reveals data gaps in global landslide hotspot E. Harvey et al. 10.1007/s11069-024-07013-1
- The suitability of different vegetation indices to analyses area with landslide propensity using Sentinel -2 Image L. Giordano et al. 10.1590/s1982-21702023000300008
14 citations as recorded by crossref.
- Identifying recurrent and persistent landslides using satellite imagery and deep learning: A 30-year analysis of the Himalaya T. Chen et al. 10.1016/j.scitotenv.2024.171161
- The unsuPervised shAllow laNdslide rapiD mApping: PANDA method applied to severe rainfalls in northeastern appenine (Italy) D. Notti et al. 10.1016/j.jag.2024.103806
- Role of landslide sampling strategies in susceptibility modelling: types, comparison and mechanism J. Thanveer et al. 10.1007/s10064-024-03851-2
- Mapping land-use and land-cover changes through the integration of satellite and airborne remote sensing data M. Lin et al. 10.1007/s10661-024-12424-5
- Using Sentinel-1 radar amplitude time series to constrain the timings of individual landslides: a step towards understanding the controls on monsoon-triggered landsliding K. Burrows et al. 10.5194/nhess-22-2637-2022
- Mapping landslides from space: A review A. Novellino et al. 10.1007/s10346-024-02215-x
- Landslides Triggered by Medicane Ianos in Greece, September 2020: Rapid Satellite Mapping and Field Survey S. Valkaniotis et al. 10.3390/app122312443
- The landslide traces inventory in the transition zone between the Qinghai-Tibet Plateau and the Loess Plateau: a case study of Jianzha County, China T. Li et al. 10.3389/feart.2024.1370992
- Exploration of Multi-Decadal Landslide Frequency and Vegetation Recovery Conditions Using Remote-Sensing Big Data M. Aman et al. 10.1007/s41748-024-00432-x
- ML-CASCADE: A machine learning and cloud computing-based tool for rapid and automated mapping of landslides using earth observation data N. Sharma & M. Saharia 10.1007/s10346-024-02360-3
- Size scaling of large landslides from incomplete inventories O. Korup et al. 10.5194/nhess-24-3815-2024
- Establishing a Landslide Traces Inventory for the Baota District, Yan’an City, China, Using High-Resolution Satellite Images S. Zhang et al. 10.3390/land13101580
- Review of landslide inventories for Nepal between 2010 and 2021 reveals data gaps in global landslide hotspot E. Harvey et al. 10.1007/s11069-024-07013-1
- The suitability of different vegetation indices to analyses area with landslide propensity using Sentinel -2 Image L. Giordano et al. 10.1590/s1982-21702023000300008
Latest update: 23 Nov 2024
Short summary
Earthquakes can trigger thousands of landslides, causing severe and widespread damage. Efforts to understand what controls these landslides rely heavily on costly and time-consuming manual mapping from satellite imagery. We developed a new method that automatically detects landslides triggered by earthquakes using thousands of free satellite images. We found that in the majority of cases, it was as skilful at identifying the locations of landslides as the manual maps that we tested it against.
Earthquakes can trigger thousands of landslides, causing severe and widespread damage. Efforts...
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