Articles | Volume 21, issue 2
https://doi.org/10.5194/nhess-21-629-2021
© Author(s) 2021. 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-21-629-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Leveraging time series analysis of radar coherence and normalized difference vegetation index ratios to characterize pre-failure activity of the Mud Creek landslide, California
Mylène Jacquemart
CORRESPONDING AUTHOR
Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado Boulder, Boulder, USA
Kristy Tiampo
Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado Boulder, Boulder, USA
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Cited
20 citations as recorded by crossref.
- The June 2020 Aniangzhai landslide in Sichuan Province, Southwest China: slope instability analysis from radar and optical satellite remote sensing data Z. Xia et al. 10.1007/s10346-021-01777-4
- A feature fusion method on landslide identification in remote sensing with Segment Anything Model C. Yang et al. 10.1007/s10346-024-02390-x
- The suitability of different vegetation indices to analyses area with landslide propensity using Sentinel -2 Image L. Giordano et al. 10.1590/s1982-21702023000300008
- Earthquake-induced landslide monitoring and survey by means of InSAR T. Smail et al. 10.5194/nhess-22-1609-2022
- Study on surface deformation pattern in mine closure area of complex karst mountainous region based on SBAS-InSAR technology G. Huang et al. 10.3389/feart.2023.1353593
- Insights into spatial differential characteristics of landslide susceptibility from sub-region to whole-region cased by northeast Chongqing, China R. Liu et al. 10.1080/19475705.2023.2190858
- Landslide Sensitivity and Response to Precipitation Changes in Wet and Dry Climates A. Handwerger et al. 10.1029/2022GL099499
- 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
- NDVI estimation using Sentinel-1 data over wheat fields in a semiarid Mediterranean region E. Ayari et al. 10.1080/15481603.2024.2357878
- Inclinometer and Improved SBAS Methods with a Random Forest for Monitoring Landslides and Anchor Degradation in Otoyo Town, Japan N. Medhat et al. 10.3390/rs15020441
- Study on erosion deformation of dry-red soil in Yuanmou dry-hot valley with different elevation gradients based on SBAS-InSAR technology J. Guo et al. 10.3389/feart.2024.1394439
- Unveiling soil coherence patterns along Etihad Rail using Sentinel-1 and Sentinel-2 data and machine learning in arid region S. Alyounis et al. 10.1016/j.rsase.2024.101374
- Identification of Landslide Precursors for Early Warning of Hazards with Remote Sensing K. Strząbała et al. 10.3390/rs16152781
- Statistical Time-Series Analysis of Interferometric Coherence from Sentinel-1 Sensors for Landslide Detection and Early Warning M. Tzouvaras 10.3390/s21206799
- A new method to detect changes in displacement rates of slow-moving landslides using InSAR time series A. Urgilez Vinueza et al. 10.1007/s10346-022-01913-8
- Pre-collapse motion of the February 2021 Chamoli rock–ice avalanche, Indian Himalaya M. Van Wyk de Vries et al. 10.5194/nhess-22-3309-2022
- 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
- Earthquake-induced risk assessment of cultural heritage based on InSAR and seismic intensity: A case study of Zhalang temple affected by the 2021 Mw 7.4 Maduo (China) earthquake M. Zhu et al. 10.1016/j.ijdrr.2022.103482
- InSAR-derived predisaster spatio-temporal evolution of a reactivated landslide K. He et al. 10.1007/s10064-024-03661-6
- Using multispectral images and field inclinometer data to analyze topographic changes related to and the reactivation mechanism of a large-scale landslide at Caoling in Taiwan H. Chen et al. 10.1007/s12665-024-11838-1
18 citations as recorded by crossref.
- The June 2020 Aniangzhai landslide in Sichuan Province, Southwest China: slope instability analysis from radar and optical satellite remote sensing data Z. Xia et al. 10.1007/s10346-021-01777-4
- A feature fusion method on landslide identification in remote sensing with Segment Anything Model C. Yang et al. 10.1007/s10346-024-02390-x
- The suitability of different vegetation indices to analyses area with landslide propensity using Sentinel -2 Image L. Giordano et al. 10.1590/s1982-21702023000300008
- Earthquake-induced landslide monitoring and survey by means of InSAR T. Smail et al. 10.5194/nhess-22-1609-2022
- Study on surface deformation pattern in mine closure area of complex karst mountainous region based on SBAS-InSAR technology G. Huang et al. 10.3389/feart.2023.1353593
- Insights into spatial differential characteristics of landslide susceptibility from sub-region to whole-region cased by northeast Chongqing, China R. Liu et al. 10.1080/19475705.2023.2190858
- Landslide Sensitivity and Response to Precipitation Changes in Wet and Dry Climates A. Handwerger et al. 10.1029/2022GL099499
- 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
- NDVI estimation using Sentinel-1 data over wheat fields in a semiarid Mediterranean region E. Ayari et al. 10.1080/15481603.2024.2357878
- Inclinometer and Improved SBAS Methods with a Random Forest for Monitoring Landslides and Anchor Degradation in Otoyo Town, Japan N. Medhat et al. 10.3390/rs15020441
- Study on erosion deformation of dry-red soil in Yuanmou dry-hot valley with different elevation gradients based on SBAS-InSAR technology J. Guo et al. 10.3389/feart.2024.1394439
- Unveiling soil coherence patterns along Etihad Rail using Sentinel-1 and Sentinel-2 data and machine learning in arid region S. Alyounis et al. 10.1016/j.rsase.2024.101374
- Identification of Landslide Precursors for Early Warning of Hazards with Remote Sensing K. Strząbała et al. 10.3390/rs16152781
- Statistical Time-Series Analysis of Interferometric Coherence from Sentinel-1 Sensors for Landslide Detection and Early Warning M. Tzouvaras 10.3390/s21206799
- A new method to detect changes in displacement rates of slow-moving landslides using InSAR time series A. Urgilez Vinueza et al. 10.1007/s10346-022-01913-8
- Pre-collapse motion of the February 2021 Chamoli rock–ice avalanche, Indian Himalaya M. Van Wyk de Vries et al. 10.5194/nhess-22-3309-2022
- 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
- Earthquake-induced risk assessment of cultural heritage based on InSAR and seismic intensity: A case study of Zhalang temple affected by the 2021 Mw 7.4 Maduo (China) earthquake M. Zhu et al. 10.1016/j.ijdrr.2022.103482
2 citations as recorded by crossref.
- InSAR-derived predisaster spatio-temporal evolution of a reactivated landslide K. He et al. 10.1007/s10064-024-03661-6
- Using multispectral images and field inclinometer data to analyze topographic changes related to and the reactivation mechanism of a large-scale landslide at Caoling in Taiwan H. Chen et al. 10.1007/s12665-024-11838-1
Latest update: 23 Nov 2024
Short summary
We used interferometric radar coherence – a data quality indicator typically used to assess the reliability of radar interferometry data – to document the destabilization of the Mud Creek landslide in California, 5 months prior to its catastrophic failure. We calculated a time series of coherence on the slide relative to the surrounding hillslope and suggest that this easy-to-compute metric might be useful for assessing the stability of a hillslope.
We used interferometric radar coherence – a data quality indicator typically used to assess the...
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