Articles | Volume 14, issue 3
https://doi.org/10.5194/nhess-14-675-2014
© Author(s) 2014. 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-14-675-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
25 Mar 2014
Research article |
| 25 Mar 2014
Landslide observation and volume estimation in central Georgia based on L-band InSAR
E. Nikolaeva
Department 2 – Physics of the Earth, Helmholtz Center Potsdam – GFZ German Research Center of Geosciences, Potsdam, Germany
T.R. Walter
Department 2 – Physics of the Earth, Helmholtz Center Potsdam – GFZ German Research Center of Geosciences, Potsdam, Germany
M. Shirzaei
Department 2 – Physics of the Earth, Helmholtz Center Potsdam – GFZ German Research Center of Geosciences, Potsdam, Germany
now at: School of Earth and Space Exploration, Arizona State University, Tempe, AZ 85287-6004, USA
J. Zschau
Department 2 – Physics of the Earth, Helmholtz Center Potsdam – GFZ German Research Center of Geosciences, Potsdam, Germany
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Cited
46 citations as recorded by crossref.
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- The determinant of slip plane and volume potential of landslide mass using resistivity data in Air Kuning Batu Merah, Ambon City M. Souisa et al. https://doi.org/10.1088/1742-6596/1816/1/012026
- Volume estimation and evaluation of rotational landslides using multi-temporal aerial photographs in Çağlayan dam reservoir area, Turkey T. Koca & M. Koca https://doi.org/10.1007/s12517-019-4290-7
- Three-dimensional landslide surface deformation retrieved by SISTEM method: a case study at Qingjiang river in Changyang County, China Y. Peng et al. https://doi.org/10.1007/s10064-025-04202-5
- A Regularization Method for Landslide Thickness Estimation L. Borgatti et al. https://doi.org/10.3390/jimaging10120314
- Assessing the landslide failure surface depth and volume: A new spline interpolation method J. Singh & S. Sepúlveda https://doi.org/10.1016/j.enggeo.2025.108319
- Remote Sensing Application for Landslide Detection, Monitoring along Eastern Lake Michigan (Miami Park, MI) G. Sataer et al. https://doi.org/10.3390/rs14143474
- Monitoring and analysis of geological hazards in Three Gorges area based on load impact change W. Wang et al. https://doi.org/10.1007/s11069-019-03661-w
- Inferring landslide active thickness from SAR-derived interferometric phases A. Ju et al. https://doi.org/10.1016/j.enggeo.2026.108837
- Landslide deformation monitoring with ALOS/PALSAR imagery: A D-InSAR geomorphological interpretation method R. Schlögel et al. https://doi.org/10.1016/j.geomorph.2014.11.031
- Integrating InSAR surface deformation with sparse borehole data for three-dimensional inversion of deep-seated slip surfaces: Application to the Jungong landslide, Upper Yellow River N. Xi et al. https://doi.org/10.1016/j.enggeo.2026.108701
- Hydrological control shift from river level to rainfall in the reactivated Guobu slope besides the Laxiwa hydropower station in China X. Shi et al. https://doi.org/10.1016/j.rse.2021.112664
- Large-Gradient Interferometric Phase Unwrapping Over Coal Mining Areas Assisted by a 2-D Elliptical Gaussian Function J. Shi et al. https://doi.org/10.1109/LGRS.2022.3223627
- Using Satellite Interferometry to Infer Landslide Sliding Surface Depth and Geometry E. Intrieri et al. https://doi.org/10.3390/rs12091462
- Identifying Potential Landslides by Stacking-InSAR in Southwestern China and Its Performance Comparison with SBAS-InSAR L. Zhang et al. https://doi.org/10.3390/rs13183662
- Stability Evaluation of Vegetation-Covered Highway Slopes Employing Integrated CR-InSAR and Finite Element Simulation W. Peng et al. https://doi.org/10.3390/rs18091350
- A Framework for Studying Hydrology-Driven Landslide Hazards in Northwestern US Using Satellite InSAR, Precipitation and Soil Moisture Observations: Early Results and Future Directions Z. Lu & J. Kim https://doi.org/10.3390/geohazards2020002
- Diagnosis of Xinmo (China) Landslide Based on Interferometric Synthetic Aperture Radar Observation and Modeling Y. Kang et al. https://doi.org/10.3390/rs11161846
- Monitoring the slope movement of the Shuping landslide in the Three Gorges Reservoir of China, using X-band time series SAR interferometry G. Liu et al. https://doi.org/10.1016/j.asr.2016.03.043
- A review of methods used to estimate initial landslide failure surface depths and volumes M. Jaboyedoff et al. https://doi.org/10.1016/j.enggeo.2020.105478
- A geometry-modelling method to estimate landslide volume from source area E. Leong & Z. Cheng https://doi.org/10.1007/s10346-022-01864-0
- A Recognition and Geological Model of a Deep-Seated Ancient Landslide at a Reservoir under Construction S. Qi et al. https://doi.org/10.3390/rs9040383
- Analyzing gully erosion and deposition patterns in loess tableland: Insights from small baseline subset interferometric synthetic aperture radar (SBAS InSAR) P. Kou et al. https://doi.org/10.1016/j.scitotenv.2024.169873
- Quantitative Monitoring of Geological Hazards With CORS Network Data and Load Impact Change: A Case Study in Zhejiang, China P. Xu et al. https://doi.org/10.1109/ACCESS.2020.3038637
- InSAR monitoring of creeping landslides in mountainous regions: A case study in Eldorado National Forest, California Y. Kang et al. https://doi.org/10.1016/j.rse.2021.112400
- Integrating InSAR and non-rigid optical pixel offsets to explore the kinematic behaviors of the Lanuza complex landslide H. Chen et al. https://doi.org/10.1016/j.rse.2025.114651
- Exploring landslide erosion volume–area scaling relationships by slip depth using changes in DTMs for basin sediment volume estimation S. Chen et al. https://doi.org/10.1007/s11629-018-4888-3
- Kinematic behavior and sliding geometry of large anthropogenic-induced landslides using three-dimensional time series InSAR: insights from the Li-Kan Road landslide J. Du et al. https://doi.org/10.1007/s10346-025-02542-7
- Landslide subsurface slip geometry inferred from 3‐D surface displacement fields A. Aryal et al. https://doi.org/10.1002/2014GL062688
- InSAR observations of the 2009 Racha earthquake, Georgia E. Nikolaeva & T. Walter https://doi.org/10.5194/nhess-16-2137-2016
- Landslide Thickness Estimated from InSAR-Derived 2D Deformation: Application to the Xiongba Ancient Landslide, China Y. Yang et al. https://doi.org/10.3390/rs16244689
- Debris flow-induced topographic changes: effects of recurrent debris flow initiation C. Chen & Q. Wang https://doi.org/10.1007/s10661-017-6169-y
- Figure Volume Calculation Based on Lidar Scanning Technology F. Wang et al. https://doi.org/10.1088/1742-6596/2449/1/012044
- Locating and defining underground goaf caused by coal mining from space-borne SAR interferometry Z. Yang et al. https://doi.org/10.1016/j.isprsjprs.2017.11.020
- Satellite-based monitoring of an open-pit mining site using Sentinel-1 advanced radar interferometry: A case study of the December 21, 2020, landslide in Toledo City, Philippines R. Ramirez et al. https://doi.org/10.1051/e3sconf/202341505020
- A non-contact quantitative risk assessment framework for translational highway landslides: Integration of InSAR, geophysical inversion, and numerical simulation Q. Fan et al. https://doi.org/10.1016/j.enggeo.2024.107818
- Analysis on the volume expansion effect and influencing factors on loess landslides: a case study of the Heifangtai tableland in the Chinese Loess Plateau J. Kong et al. https://doi.org/10.1080/17499518.2023.2257201
- Investigation of Carter method for locating slip surfaces and its performance on varying slope conditions N. Novanti et al. https://doi.org/10.1088/1755-1315/1249/1/012006
- Observing slope stability changes on the basis of tilt and hydrologic measurements G. Mentes https://doi.org/10.1515/jag-2016-0020
- Physical vulnerability assessment of buildings exposed to landslides in India A. Singh et al. https://doi.org/10.1007/s11069-018-03568-y
- Improved Landslide Monitoring in Low-Coherence Mountainous Areas: A Coherence-Enhanced Multitemporal InSAR Approach Y. Chen et al. https://doi.org/10.1109/JSTARS.2025.3596713
- Testing a failure surface prediction and deposit reconstruction method for a landslide cluster that occurred during Typhoon Talas (Japan) M. Jaboyedoff et al. https://doi.org/10.5194/esurf-7-439-2019
- Characterizing Seasonally Rainfall-Driven Movement of a Translational Landslide using SAR Imagery and SMAP Soil Moisture Y. Xu et al. https://doi.org/10.3390/rs11202347
- 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. https://doi.org/10.1007/s12665-024-11838-1
- Mid- to Late Holocene landscape changes in the Rioni delta area (Kolkheti lowlands, W Georgia) H. Laermanns et al. https://doi.org/10.1016/j.quaint.2016.12.037
- A novel machine learning and deep learning semi-supervised approach for automatic detection of InSAR-based deformation hotspots A. Tiwari & M. Shirzaei https://doi.org/10.1016/j.jag.2023.103611
46 citations as recorded by crossref.
- Active thickness estimation and failure simulation of translational landslide using multi-orbit InSAR observations: A case study of the Xiongba landslide W. Zhu et al. https://doi.org/10.1016/j.jag.2024.103801
- The determinant of slip plane and volume potential of landslide mass using resistivity data in Air Kuning Batu Merah, Ambon City M. Souisa et al. https://doi.org/10.1088/1742-6596/1816/1/012026
- Volume estimation and evaluation of rotational landslides using multi-temporal aerial photographs in Çağlayan dam reservoir area, Turkey T. Koca & M. Koca https://doi.org/10.1007/s12517-019-4290-7
- Three-dimensional landslide surface deformation retrieved by SISTEM method: a case study at Qingjiang river in Changyang County, China Y. Peng et al. https://doi.org/10.1007/s10064-025-04202-5
- A Regularization Method for Landslide Thickness Estimation L. Borgatti et al. https://doi.org/10.3390/jimaging10120314
- Assessing the landslide failure surface depth and volume: A new spline interpolation method J. Singh & S. Sepúlveda https://doi.org/10.1016/j.enggeo.2025.108319
- Remote Sensing Application for Landslide Detection, Monitoring along Eastern Lake Michigan (Miami Park, MI) G. Sataer et al. https://doi.org/10.3390/rs14143474
- Monitoring and analysis of geological hazards in Three Gorges area based on load impact change W. Wang et al. https://doi.org/10.1007/s11069-019-03661-w
- Inferring landslide active thickness from SAR-derived interferometric phases A. Ju et al. https://doi.org/10.1016/j.enggeo.2026.108837
- Landslide deformation monitoring with ALOS/PALSAR imagery: A D-InSAR geomorphological interpretation method R. Schlögel et al. https://doi.org/10.1016/j.geomorph.2014.11.031
- Integrating InSAR surface deformation with sparse borehole data for three-dimensional inversion of deep-seated slip surfaces: Application to the Jungong landslide, Upper Yellow River N. Xi et al. https://doi.org/10.1016/j.enggeo.2026.108701
- Hydrological control shift from river level to rainfall in the reactivated Guobu slope besides the Laxiwa hydropower station in China X. Shi et al. https://doi.org/10.1016/j.rse.2021.112664
- Large-Gradient Interferometric Phase Unwrapping Over Coal Mining Areas Assisted by a 2-D Elliptical Gaussian Function J. Shi et al. https://doi.org/10.1109/LGRS.2022.3223627
- Using Satellite Interferometry to Infer Landslide Sliding Surface Depth and Geometry E. Intrieri et al. https://doi.org/10.3390/rs12091462
- Identifying Potential Landslides by Stacking-InSAR in Southwestern China and Its Performance Comparison with SBAS-InSAR L. Zhang et al. https://doi.org/10.3390/rs13183662
- Stability Evaluation of Vegetation-Covered Highway Slopes Employing Integrated CR-InSAR and Finite Element Simulation W. Peng et al. https://doi.org/10.3390/rs18091350
- A Framework for Studying Hydrology-Driven Landslide Hazards in Northwestern US Using Satellite InSAR, Precipitation and Soil Moisture Observations: Early Results and Future Directions Z. Lu & J. Kim https://doi.org/10.3390/geohazards2020002
- Diagnosis of Xinmo (China) Landslide Based on Interferometric Synthetic Aperture Radar Observation and Modeling Y. Kang et al. https://doi.org/10.3390/rs11161846
- Monitoring the slope movement of the Shuping landslide in the Three Gorges Reservoir of China, using X-band time series SAR interferometry G. Liu et al. https://doi.org/10.1016/j.asr.2016.03.043
- A review of methods used to estimate initial landslide failure surface depths and volumes M. Jaboyedoff et al. https://doi.org/10.1016/j.enggeo.2020.105478
- A geometry-modelling method to estimate landslide volume from source area E. Leong & Z. Cheng https://doi.org/10.1007/s10346-022-01864-0
- A Recognition and Geological Model of a Deep-Seated Ancient Landslide at a Reservoir under Construction S. Qi et al. https://doi.org/10.3390/rs9040383
- Analyzing gully erosion and deposition patterns in loess tableland: Insights from small baseline subset interferometric synthetic aperture radar (SBAS InSAR) P. Kou et al. https://doi.org/10.1016/j.scitotenv.2024.169873
- Quantitative Monitoring of Geological Hazards With CORS Network Data and Load Impact Change: A Case Study in Zhejiang, China P. Xu et al. https://doi.org/10.1109/ACCESS.2020.3038637
- InSAR monitoring of creeping landslides in mountainous regions: A case study in Eldorado National Forest, California Y. Kang et al. https://doi.org/10.1016/j.rse.2021.112400
- Integrating InSAR and non-rigid optical pixel offsets to explore the kinematic behaviors of the Lanuza complex landslide H. Chen et al. https://doi.org/10.1016/j.rse.2025.114651
- Exploring landslide erosion volume–area scaling relationships by slip depth using changes in DTMs for basin sediment volume estimation S. Chen et al. https://doi.org/10.1007/s11629-018-4888-3
- Kinematic behavior and sliding geometry of large anthropogenic-induced landslides using three-dimensional time series InSAR: insights from the Li-Kan Road landslide J. Du et al. https://doi.org/10.1007/s10346-025-02542-7
- Landslide subsurface slip geometry inferred from 3‐D surface displacement fields A. Aryal et al. https://doi.org/10.1002/2014GL062688
- InSAR observations of the 2009 Racha earthquake, Georgia E. Nikolaeva & T. Walter https://doi.org/10.5194/nhess-16-2137-2016
- Landslide Thickness Estimated from InSAR-Derived 2D Deformation: Application to the Xiongba Ancient Landslide, China Y. Yang et al. https://doi.org/10.3390/rs16244689
- Debris flow-induced topographic changes: effects of recurrent debris flow initiation C. Chen & Q. Wang https://doi.org/10.1007/s10661-017-6169-y
- Figure Volume Calculation Based on Lidar Scanning Technology F. Wang et al. https://doi.org/10.1088/1742-6596/2449/1/012044
- Locating and defining underground goaf caused by coal mining from space-borne SAR interferometry Z. Yang et al. https://doi.org/10.1016/j.isprsjprs.2017.11.020
- Satellite-based monitoring of an open-pit mining site using Sentinel-1 advanced radar interferometry: A case study of the December 21, 2020, landslide in Toledo City, Philippines R. Ramirez et al. https://doi.org/10.1051/e3sconf/202341505020
- A non-contact quantitative risk assessment framework for translational highway landslides: Integration of InSAR, geophysical inversion, and numerical simulation Q. Fan et al. https://doi.org/10.1016/j.enggeo.2024.107818
- Analysis on the volume expansion effect and influencing factors on loess landslides: a case study of the Heifangtai tableland in the Chinese Loess Plateau J. Kong et al. https://doi.org/10.1080/17499518.2023.2257201
- Investigation of Carter method for locating slip surfaces and its performance on varying slope conditions N. Novanti et al. https://doi.org/10.1088/1755-1315/1249/1/012006
- Observing slope stability changes on the basis of tilt and hydrologic measurements G. Mentes https://doi.org/10.1515/jag-2016-0020
- Physical vulnerability assessment of buildings exposed to landslides in India A. Singh et al. https://doi.org/10.1007/s11069-018-03568-y
- Improved Landslide Monitoring in Low-Coherence Mountainous Areas: A Coherence-Enhanced Multitemporal InSAR Approach Y. Chen et al. https://doi.org/10.1109/JSTARS.2025.3596713
- Testing a failure surface prediction and deposit reconstruction method for a landslide cluster that occurred during Typhoon Talas (Japan) M. Jaboyedoff et al. https://doi.org/10.5194/esurf-7-439-2019
- Characterizing Seasonally Rainfall-Driven Movement of a Translational Landslide using SAR Imagery and SMAP Soil Moisture Y. Xu et al. https://doi.org/10.3390/rs11202347
- 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. https://doi.org/10.1007/s12665-024-11838-1
- Mid- to Late Holocene landscape changes in the Rioni delta area (Kolkheti lowlands, W Georgia) H. Laermanns et al. https://doi.org/10.1016/j.quaint.2016.12.037
- A novel machine learning and deep learning semi-supervised approach for automatic detection of InSAR-based deformation hotspots A. Tiwari & M. Shirzaei https://doi.org/10.1016/j.jag.2023.103611
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