Articles | Volume 13, issue 5
https://doi.org/10.5194/nhess-13-1259-2013
© Author(s) 2013. 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-13-1259-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
16 May 2013
Research article |
| 16 May 2013
A satellite-based global landslide model
A. Farahmand
University of California Irvine, Irvine, CA 92697, USA
A. AghaKouchak
University of California Irvine, Irvine, CA 92697, USA
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41 citations as recorded by crossref.
- Physics and Modeling of Various Hazardous Landslides J. Elíasson & Þ. Sæmundsson https://doi.org/10.3390/geosciences11030108
- Machine learning and landslide studies: recent advances and applications F. Tehrani et al. https://doi.org/10.1007/s11069-022-05423-7
- Landslide susceptibility mapping on a global scale using the method of logistic regression L. Lin et al. https://doi.org/10.5194/nhess-17-1411-2017
- A 30 m global map of elevation with forests and buildings removed L. Hawker et al. https://doi.org/10.1088/1748-9326/ac4d4f
- Sensitivity Analysis of the Influence of Heavy-Intensity Rain Duration on the Stability of Granular Soil Slopes Under Unsaturated Conditions J. Bustamante et al. https://doi.org/10.3390/app15116074
- A Potential Strain Indicator for Brittle Failure Prediction of Low-porosity Rock: Part I—Experimental Studies Based on the Uniaxial Compression Test L. Xue et al. https://doi.org/10.1007/s00603-014-0675-9
- Landslides triggered by rainfall: A semi-automated procedure to define consistent intensity–duration thresholds S. Segoni et al. https://doi.org/10.1016/j.cageo.2013.10.009
- Earthquake-induced landslides susceptibility assessment: A review of the state-of-the-art X. Shao & C. Xu https://doi.org/10.1016/j.nhres.2022.03.002
- Evaluating the performances of satellite-based rainfall data for global rainfall-induced landslide warnings G. Jia et al. https://doi.org/10.1007/s10346-019-01277-6
- Using Google's cloud-based platform for digital soil mapping J. Padarian et al. https://doi.org/10.1016/j.cageo.2015.06.023
- How far are we from the use of satellite rainfall products in landslide forecasting? M. Brunetti et al. https://doi.org/10.1016/j.rse.2018.03.016
- Satellite-derived rainfall thresholds for landslide early warning in Bogowonto Catchment, Central Java, Indonesia E. Chikalamo et al. https://doi.org/10.1016/j.jag.2020.102093
- Dynamic Hazard Assessment of Rainfall-Induced Landslides Using Gradient Boosting Decision Tree with Google Earth Engine in Three Gorges Reservoir Area, China K. Yang et al. https://doi.org/10.3390/w16121638
- A combined triggering-propagation modeling approach for the assessment of rainfall induced debris flow susceptibility L. Stancanelli et al. https://doi.org/10.1016/j.jhydrol.2017.04.038
- A suite of global, cross-scale topographic variables for environmental and biodiversity modeling G. Amatulli et al. https://doi.org/10.1038/sdata.2018.40
- Landslides and synoptic weather trends in the European Alps J. Wood et al. https://doi.org/10.1007/s10584-016-1623-3
- Assessing Global Landslide Casualty Risk Under Moderate Climate Change Based on Multiple GCM Projections X. Wang et al. https://doi.org/10.1007/s13753-023-00514-w
- Satellite‐Based Assessment of Rainfall‐Triggered Landslide Hazard for Situational Awareness D. Kirschbaum & T. Stanley https://doi.org/10.1002/2017EF000715
- Global Assessment of the Capability of Satellite Precipitation Products to Retrieve Landslide-Triggering Extreme Rainfall Events O. Marc et al. https://doi.org/10.1175/EI-D-21-0022.1
- Natural Hazards Perspectives on Integrated, Coordinated, Open, Networked (ICON) Science S. Sharma et al. https://doi.org/10.1029/2021EA002114
- A dynamic landslide hazard assessment system for Central America and Hispaniola D. Kirschbaum et al. https://doi.org/10.5194/nhess-15-2257-2015
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- Incorporation of Satellite Precipitation Uncertainty in a Landslide Hazard Nowcasting System S. Hartke et al. https://doi.org/10.1175/JHM-D-19-0295.1
- Rainfall-triggered slope instabilities under a changing climate: comparative study using historical and projected precipitation extremes J. Robinson et al. https://doi.org/10.1139/cgj-2015-0602
- Geoinformatic Analysis of Rainfall-Triggered Landslides in Crete (Greece) Based on Spatial Detection and Hazard Mapping A. Argyriou et al. https://doi.org/10.3390/su14073956
- Ground Surface Deformation Detection in Complex Landslide Area—Bobonaro, Timor-Leste—Using SBAS DInSAR, UAV Photogrammetry, and Field Observations B. Martins et al. https://doi.org/10.3390/geosciences10060245
- Remote Sensing for Assessing Landslides and Associated Hazards C. Lissak et al. https://doi.org/10.1007/s10712-020-09609-1
- Bird conservation would complement landslide prevention in the Central Andes of Colombia N. Ocampo-Peñuela & S. Pimm https://doi.org/10.7717/peerj.779
- Freeze-thaw induced landslides on grasslands in cold regions J. Yang et al. https://doi.org/10.1016/j.catena.2022.106650
- Slope susceptibility map for preventive measures against rainfall-induced slope failure H. Rahardjo et al. https://doi.org/10.1007/s44285-023-00006-9
- Using citizen science to expand the global map of landslides: Introducing the Cooperative Open Online Landslide Repository (COOLR) C. Juang et al. https://doi.org/10.1371/journal.pone.0218657
- Non-susceptible landslide areas in Italy and in the Mediterranean region I. Marchesini et al. https://doi.org/10.5194/nhess-14-2215-2014
- Building a landslide hazard indicator with machine learning and land surface models T. Stanley et al. https://doi.org/10.1016/j.envsoft.2020.104692
- Delineating Non-Susceptible Landslide Areas in China Based on Topographic Index and Quantile Non-Linear Model S. Ma et al. https://doi.org/10.3390/f15040678
- Semi-quantitative method to identify the vulnerable areas in terms of building aggregation for probable landslide runout at the regional scale: a case study from Soacha Province, Colombia A. Pradhan et al. https://doi.org/10.1007/s10064-019-01533-y
- Geomorpho90m, empirical evaluation and accuracy assessment of global high-resolution geomorphometric layers G. Amatulli et al. https://doi.org/10.1038/s41597-020-0479-6
- A global landslide non-susceptibility map G. Jia et al. https://doi.org/10.1016/j.geomorph.2021.107804
- Generation of a national landslide hazard and risk map for the country of Georgia G. Gaprindashvili & C. Van Westen https://doi.org/10.1007/s11069-015-1958-5
- Spatial and Temporal Analysis of Global Landslide Reporting Using a Decade of the Global Landslide Catalog C. Dandridge et al. https://doi.org/10.3390/su15043323
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