Research article
16 Jan 2018
Research article
| 16 Jan 2018
Satellite-based emergency mapping using optical imagery: experience and reflections from the 2015 Nepal earthquakes
Jack G. Williams et al.
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Cited
34 citations as recorded by crossref.
- Simple rules to minimise exposure to coseismic landslide hazard D. Milledge et al. 10.5194/nhess-19-837-2019
- Assessing the Accuracy of ALOS/PALSAR-2 and Sentinel-1 Radar Images in Estimating the Land Subsidence of Coastal Areas: A Case Study in Alexandria City, Egypt N. Darwish et al. 10.3390/rs13091838
- A closer look at factors governing landslide recovery time in post-seismic periods H. Tanyaş et al. 10.1016/j.geomorph.2021.107912
- Role of landslides on the volume balance of the Nepal 2015 earthquake sequence A. Valagussa et al. 10.1038/s41598-021-83037-y
- Use of scenario ensembles for deriving seismic risk T. Robinson et al. 10.1073/pnas.1807433115
- Evolution of Coseismic and Post‐seismic Landsliding After the 2015 M w 7.8 Gorkha Earthquake, Nepal M. Kincey et al. 10.1029/2020JF005803
- A new strategy to map landslides with a generalized convolutional neural network N. Prakash et al. 10.1038/s41598-021-89015-8
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- The State of Remote Sensing Capabilities of Cascading Hazards Over High Mountain Asia D. Kirschbaum et al. 10.3389/feart.2019.00197
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- Improving Landslide Detection on SAR Data Through Deep Learning L. Nava et al. 10.1109/LGRS.2021.3127073
- The Fate of Sediment After a Large Earthquake O. Francis et al. 10.1029/2021JF006352
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- Working with communities on disaster risk research: Reflections from cross-disciplinary practice R. Few et al. 10.1016/j.ijdrr.2022.102815
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- Changing significance of landslide Hazard and risk after the 2015 Mw 7.8 Gorkha, Nepal Earthquake N. Rosser et al. 10.1016/j.pdisas.2021.100159
- Use of Very High-Resolution Optical Data for Landslide Mapping and Susceptibility Analysis along the Karnali Highway, Nepal P. Amatya et al. 10.3390/rs11192284
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- Synergic use of Sentinel-1 and Sentinel-2 data for automatic detection of earthquake-triggered landscape changes: A case study of the 2016 Kaikoura earthquake (Mw 7.8), New Zealand J. Jelének & V. Kopačková-Strnadová 10.1016/j.rse.2021.112634
- Co‐seismic landslides in the Sikkim Himalaya during the 2011 Sikkim Earthquake: Lesson learned from the past and inference for the future M. Joshi 10.1002/gj.4416
- UAV-Derived Himalayan Topography: Hazard Assessments and Comparison with Global DEM Products C. Watson et al. 10.3390/drones3010018
- Geohazards Monitoring and Assessment Using Multi-Source Earth Observation Techniques J. Sousa et al. 10.3390/rs13214269
- Rapid post-earthquake modelling of coseismic landslide intensity and distribution for emergency response decision support T. Robinson et al. 10.5194/nhess-17-1521-2017
- Scenario ensemble modelling of possible future earthquake impacts in Bhutan T. Robinson 10.1007/s11069-020-04138-x
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- Earthquake‐Induced Chains of Geologic Hazards: Patterns, Mechanisms, and Impacts X. Fan et al. 10.1029/2018RG000626
30 citations as recorded by crossref.
- Simple rules to minimise exposure to coseismic landslide hazard D. Milledge et al. 10.5194/nhess-19-837-2019
- Assessing the Accuracy of ALOS/PALSAR-2 and Sentinel-1 Radar Images in Estimating the Land Subsidence of Coastal Areas: A Case Study in Alexandria City, Egypt N. Darwish et al. 10.3390/rs13091838
- A closer look at factors governing landslide recovery time in post-seismic periods H. Tanyaş et al. 10.1016/j.geomorph.2021.107912
- Role of landslides on the volume balance of the Nepal 2015 earthquake sequence A. Valagussa et al. 10.1038/s41598-021-83037-y
- Use of scenario ensembles for deriving seismic risk T. Robinson et al. 10.1073/pnas.1807433115
- Evolution of Coseismic and Post‐seismic Landsliding After the 2015 M w 7.8 Gorkha Earthquake, Nepal M. Kincey et al. 10.1029/2020JF005803
- A new strategy to map landslides with a generalized convolutional neural network N. Prakash et al. 10.1038/s41598-021-89015-8
- Plotting earthquake emergency maps based on audience theory J. Xu et al. 10.1016/j.ijdrr.2020.101554
- Generating landslide density heatmaps for rapid detection using open-access satellite radar data in Google Earth Engine A. Handwerger et al. 10.5194/nhess-22-753-2022
- Constraining landslide timing in a data-scarce context: from recent to very old processes in the tropical environment of the North Tanganyika-Kivu Rift region O. Dewitte et al. 10.1007/s10346-020-01452-0
- A systematic exploration of satellite radar coherence methods for rapid landslide detection K. Burrows et al. 10.5194/nhess-20-3197-2020
- Integrating empirical models and satellite radar can improve landslide detection for emergency response K. Burrows et al. 10.5194/nhess-21-2993-2021
- Digital Image Correlation (DIC) Analysis of the 3 December 2013 Montescaglioso Landslide (Basilicata, Southern Italy): Results from a Multi-Dataset Investigation P. Caporossi et al. 10.3390/ijgi7090372
- The State of Remote Sensing Capabilities of Cascading Hazards Over High Mountain Asia D. Kirschbaum et al. 10.3389/feart.2019.00197
- Assessing sustainable development prospects through remote sensing: A review R. Avtar et al. 10.1016/j.rsase.2020.100402
- Improving Landslide Detection on SAR Data Through Deep Learning L. Nava et al. 10.1109/LGRS.2021.3127073
- The Fate of Sediment After a Large Earthquake O. Francis et al. 10.1029/2021JF006352
- Landslide failures detection and mapping using Synthetic Aperture Radar: Past, present and future A. Mondini et al. 10.1016/j.earscirev.2021.103574
- Working with communities on disaster risk research: Reflections from cross-disciplinary practice R. Few et al. 10.1016/j.ijdrr.2022.102815
- A New Method for Large-Scale Landslide Classification from Satellite Radar K. Burrows et al. 10.3390/rs11030237
- Automated determination of landslide locations after large trigger events: advantages and disadvantages compared to manual mapping D. Milledge et al. 10.5194/nhess-22-481-2022
- Changing significance of landslide Hazard and risk after the 2015 Mw 7.8 Gorkha, Nepal Earthquake N. Rosser et al. 10.1016/j.pdisas.2021.100159
- Use of Very High-Resolution Optical Data for Landslide Mapping and Susceptibility Analysis along the Karnali Highway, Nepal P. Amatya et al. 10.3390/rs11192284
- The influence of the physical environment on self-recovery after disasters in Nepal and the Philippines S. Sargeant et al. 10.1016/j.ijdrr.2020.101673
- Sentinel-1 SAR Amplitude Imagery for Rapid Landslide Detection A. Mondini et al. 10.3390/rs11070760
- Geomorphic and Sedimentary Effects of Modern Climate Change: Current and Anticipated Future Conditions in the Western United States A. East & J. Sankey 10.1029/2019RG000692
- Synergic use of Sentinel-1 and Sentinel-2 data for automatic detection of earthquake-triggered landscape changes: A case study of the 2016 Kaikoura earthquake (Mw 7.8), New Zealand J. Jelének & V. Kopačková-Strnadová 10.1016/j.rse.2021.112634
- Co‐seismic landslides in the Sikkim Himalaya during the 2011 Sikkim Earthquake: Lesson learned from the past and inference for the future M. Joshi 10.1002/gj.4416
- UAV-Derived Himalayan Topography: Hazard Assessments and Comparison with Global DEM Products C. Watson et al. 10.3390/drones3010018
- Geohazards Monitoring and Assessment Using Multi-Source Earth Observation Techniques J. Sousa et al. 10.3390/rs13214269
4 citations as recorded by crossref.
- Rapid post-earthquake modelling of coseismic landslide intensity and distribution for emergency response decision support T. Robinson et al. 10.5194/nhess-17-1521-2017
- Scenario ensemble modelling of possible future earthquake impacts in Bhutan T. Robinson 10.1007/s11069-020-04138-x
- The Spatial and Temporal Influence of Cloud Cover on Satellite-Based Emergency Mapping of Earthquake Disasters T. Robinson et al. 10.1038/s41598-019-49008-0
- Earthquake‐Induced Chains of Geologic Hazards: Patterns, Mechanisms, and Impacts X. Fan et al. 10.1029/2018RG000626
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Short summary
There is currently no protocol for rapid humanitarian-facing landslide assessment and no published recognition of what is possible and useful to compile immediately after a triggering event. Drawing on the 2015 Gorkha earthquake (Nepal), we consider how quickly a landslide assessment based upon manual satellite-based emergency mapping (SEM) can be realistically achieved and review the decisions taken by analysts to ascertain the timeliness and type of useful information that can be generated.
There is currently no protocol for rapid humanitarian-facing landslide assessment and no...
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