Articles | Volume 20, issue 11
https://doi.org/10.5194/nhess-20-3197-2020
© Author(s) 2020. 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-20-3197-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| Highlight paper
| 
27 Nov 2020
Research article | Highlight paper |
| 27 Nov 2020
| 27 Nov 2020
A systematic exploration of satellite radar coherence methods for rapid landslide detection
COMET, Department of Earth Sciences, Durham University, Durham, UK
Richard J. Walters
COMET, Department of Earth Sciences, Durham University, Durham, UK
David Milledge
School of Engineering, Newcastle University, Newcastle, UK
Alexander L. Densmore
Department of Geography, Durham University, Durham, UK
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Cited
22 citations as recorded by crossref.
- Fusing Ascending and Descending Time-Series SAR Images with Dual-Polarized Pixel Attention UNet for Landslide Recognition B. Pan & X. Shi 10.3390/rs15235619
- A framework for automated landslide dating utilizing SAR-Derived Parameters Time-Series, An Enhanced Transformer Model, and Dynamic Thresholding W. Wang et al. 10.1016/j.jag.2024.103795
- Timing landslide and flash flood events from SAR satellite: a regionally applicable methodology illustrated in African cloud-covered tropical environments A. Deijns et al. 10.5194/nhess-22-3679-2022
- Insights from the topographic characteristics of a large global catalog of rainfall-induced landslide event inventories R. Emberson et al. 10.5194/nhess-22-1129-2022
- Sentinel-1 P-SBAS data for the update of the state of activity of national landslide inventory maps P. Confuorto et al. 10.1007/s10346-022-02024-0
- Environmental effects following a seismic sequence: the 2019 Cotabato—Davao del Sur (Philippines) earthquakes M. Ferrario et al. 10.1007/s11069-024-06467-7
- Landslide failures detection and mapping using Synthetic Aperture Radar: Past, present and future A. Mondini et al. 10.1016/j.earscirev.2021.103574
- 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
- Landslides triggered by the 2015 Mw 6.0 Sabah (Malaysia) earthquake: inventory and ESI-07 intensity assignment M. Ferrario 10.5194/nhess-22-3527-2022
- Automatic detection of earthquake triggered landslides using Sentinel-1 SAR imagery based on deep learning L. Chen et al. 10.1080/17538947.2024.2393261
- Detection of slow‐moving landslides through automated monitoring of surface deformation using Sentinel‐2 satellite imagery M. Van Wyk de Vries et al. 10.1002/esp.5775
- Integrating empirical models and satellite radar can improve landslide detection for emergency response K. Burrows et al. 10.5194/nhess-21-2993-2021
- Spatial patterns of shallow landslides induced by the 19 September 2017 Puebla-Morelos earthquake, Mexico J. Salinas-Jasso et al. 10.1007/s10064-022-03030-1
- Mapping landslides from space: A review A. Novellino et al. 10.1007/s10346-024-02215-x
- Landslide Mapping in Calitri (Southern Italy) Using New Multi-Temporal InSAR Algorithms Based on Permanent and Distributed Scatterers N. Famiglietti et al. 10.3390/rs16091610
- A semi-supervised multi-temporal landslide and flash flood event detection methodology for unexplored regions using massive satellite image time series A. Deijns et al. 10.1016/j.isprsjprs.2024.07.010
- 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
- SAR Data for Detecting Landslide Phenomena: The November 26, 2022 Landslide of the Ischia Island (Southern Italy) M. Polcari et al. 10.1109/JSTARS.2023.3286993
- Earthquake-induced landslide hazard assessment in the Vrancea Seismic Region (Eastern Carpathians, Romania): Constraints and perspectives M. Micu et al. 10.1016/j.geomorph.2023.108635
- Dynamic Earthquake-Induced Landslide Susceptibility Assessment Model: Integrating Machine Learning and Remote Sensing Y. Yang et al. 10.3390/rs16214006
- Performance Study of Landslide Detection Using Multi-Temporal SAR Images Y. Lin et al. 10.3390/rs14102444
- Learnings from rapid response efforts to remotely detect landslides triggered by the August 2021 Nippes earthquake and Tropical Storm Grace in Haiti P. Amatya et al. 10.1007/s11069-023-06096-6
21 citations as recorded by crossref.
- Fusing Ascending and Descending Time-Series SAR Images with Dual-Polarized Pixel Attention UNet for Landslide Recognition B. Pan & X. Shi 10.3390/rs15235619
- A framework for automated landslide dating utilizing SAR-Derived Parameters Time-Series, An Enhanced Transformer Model, and Dynamic Thresholding W. Wang et al. 10.1016/j.jag.2024.103795
- Timing landslide and flash flood events from SAR satellite: a regionally applicable methodology illustrated in African cloud-covered tropical environments A. Deijns et al. 10.5194/nhess-22-3679-2022
- Insights from the topographic characteristics of a large global catalog of rainfall-induced landslide event inventories R. Emberson et al. 10.5194/nhess-22-1129-2022
- Sentinel-1 P-SBAS data for the update of the state of activity of national landslide inventory maps P. Confuorto et al. 10.1007/s10346-022-02024-0
- Environmental effects following a seismic sequence: the 2019 Cotabato—Davao del Sur (Philippines) earthquakes M. Ferrario et al. 10.1007/s11069-024-06467-7
- Landslide failures detection and mapping using Synthetic Aperture Radar: Past, present and future A. Mondini et al. 10.1016/j.earscirev.2021.103574
- 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
- Landslides triggered by the 2015 Mw 6.0 Sabah (Malaysia) earthquake: inventory and ESI-07 intensity assignment M. Ferrario 10.5194/nhess-22-3527-2022
- Automatic detection of earthquake triggered landslides using Sentinel-1 SAR imagery based on deep learning L. Chen et al. 10.1080/17538947.2024.2393261
- Detection of slow‐moving landslides through automated monitoring of surface deformation using Sentinel‐2 satellite imagery M. Van Wyk de Vries et al. 10.1002/esp.5775
- Integrating empirical models and satellite radar can improve landslide detection for emergency response K. Burrows et al. 10.5194/nhess-21-2993-2021
- Spatial patterns of shallow landslides induced by the 19 September 2017 Puebla-Morelos earthquake, Mexico J. Salinas-Jasso et al. 10.1007/s10064-022-03030-1
- Mapping landslides from space: A review A. Novellino et al. 10.1007/s10346-024-02215-x
- Landslide Mapping in Calitri (Southern Italy) Using New Multi-Temporal InSAR Algorithms Based on Permanent and Distributed Scatterers N. Famiglietti et al. 10.3390/rs16091610
- A semi-supervised multi-temporal landslide and flash flood event detection methodology for unexplored regions using massive satellite image time series A. Deijns et al. 10.1016/j.isprsjprs.2024.07.010
- 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
- SAR Data for Detecting Landslide Phenomena: The November 26, 2022 Landslide of the Ischia Island (Southern Italy) M. Polcari et al. 10.1109/JSTARS.2023.3286993
- Earthquake-induced landslide hazard assessment in the Vrancea Seismic Region (Eastern Carpathians, Romania): Constraints and perspectives M. Micu et al. 10.1016/j.geomorph.2023.108635
- Dynamic Earthquake-Induced Landslide Susceptibility Assessment Model: Integrating Machine Learning and Remote Sensing Y. Yang et al. 10.3390/rs16214006
- Performance Study of Landslide Detection Using Multi-Temporal SAR Images Y. Lin et al. 10.3390/rs14102444
Latest update: 23 Nov 2024
Short summary
Satellite radar could provide information on landslide locations within days of an earthquake or rainfall event anywhere on Earth, but until now there has been a lack of systematic testing of possible radar methods, and most methods have been demonstrated using a single case study event and data from a single satellite sensor. Here we test five methods on four events, demonstrating their wide applicability and making recommendations on when different methods should be applied in the future.
Satellite radar could provide information on landslide locations within days of an earthquake or...
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