Articles | Volume 9, issue 3
https://doi.org/10.5194/nhess-9-673-2009
© Author(s) 2009. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/nhess-9-673-2009
© Author(s) 2009. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
06 May 2009
Evaluation of a preliminary satellite-based landslide hazard algorithm using global landslide inventories
D. B. Kirschbaum
Lamont-Doherty Earth Observatory and Department of Earth and Environmental Sciences, Columbia University, Palisades, New York, USA
Laboratory for Atmospheres, NASA Goddard Space Flight Center, Greenbelt, Maryland, USA
R. Adler
Laboratory for Atmospheres, NASA Goddard Space Flight Center, Greenbelt, Maryland, USA
ESSIC, University of Maryland College Park, College Park, Maryland, USA
Y. Hong
School of Civil Engineering and Environmental Sciences, University of Oklahoma, National Weather Center, Norman, Oklahoma, USA
A. Lerner-Lam
Lamont-Doherty Earth Observatory and Department of Earth and Environmental Sciences, Columbia University, Palisades, New York, USA
Viewed
Total article views: 5,033 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,773 | 1,928 | 332 | 5,033 | 122 | 114 |
- HTML: 2,773
- PDF: 1,928
- XML: 332
- Total: 5,033
- BibTeX: 122
- EndNote: 114
Cited
69 citations as recorded by crossref.
- Global Assessment of the Capability of Satellite Precipitation Products to Retrieve Landslide-Triggering Extreme Rainfall Events O. Marc et al. 10.1175/EI-D-21-0022.1
- Spatiotemporal activity characteristic analysis and hazard assessment of rainfall-induced landslide for the Eurasian continent by considering mountain-hazards developing environment differences D. Cheng et al. 10.1007/s10064-025-04259-2
- The Analysis on Similarity of Spectrum Analysis of Landslide and Bareland through Hyper-Spectrum Image Bands S. Wan et al. 10.3390/w11112414
- Assessing the Feasibility of Satellite‐Based Thresholds for Hydrologically Driven Landsliding M. Thomas et al. 10.1029/2019WR025577
- Statistical modelling of Europe-wide landslide susceptibility using limited landslide inventory data M. Van Den Eeckhaut et al. 10.1007/s10346-011-0299-z
- Spatial and temporal analysis of a global landslide catalog D. Kirschbaum et al. 10.1016/j.geomorph.2015.03.016
- Strong Optimal Classification Trees S. Aghaei et al. 10.1287/opre.2021.0034
- Updated Screening Procedures for GPROF2010 over Land: Utilization for AMSR-E P. Meyers et al. 10.1175/JTECH-D-14-00149.1
- Application of back-propagation neural network on bank destruction forecasting for accumulative landslides in the three Gorges Reservoir Region, China C. Li et al. 10.1007/s00477-014-0848-9
- Identification of landslide hazard and risk ‘hotspots’ in Europe C. Jaedicke et al. 10.1007/s10064-013-0541-0
- Advances in landslide nowcasting: evaluation of a global and regional modeling approach D. Kirschbaum et al. 10.1007/s12665-011-0990-3
- Application of a fuzzy verification framework for the evaluation of a regional-scale landslide early warning system during the January 2020 Gloria storm in Catalonia (NE Spain) R. Palau et al. 10.1007/s10346-022-01854-2
- Delineating Non-Susceptible Landslide Areas in China Based on Topographic Index and Quantile Non-Linear Model S. Ma et al. 10.3390/f15040678
- Increasing frequencies and changing characteristics of heavy precipitation events threatening infrastructure in Europe under climate change K. Nissen & U. Ulbrich 10.5194/nhess-17-1177-2017
- Landslide susceptibility assessment in the Himalayan range based along Kasauli – Parwanoo road corridor using weight of evidence, information value, and frequency ratio A. Alsabhan et al. 10.1016/j.jksus.2021.101759
- Geographical landslide early warning systems F. Guzzetti et al. 10.1016/j.earscirev.2019.102973
- Application of Limit Equilibrium Analysis and Numerical Modeling in a Case of Slope Instability F. Sengani & F. Mulenga 10.3390/su12218870
- Applying rainfall threshold estimates and frequency ratio model for landslide hazard assessment in the coastal mountain setting of South Asia A. Alam et al. 10.1016/j.nhres.2023.08.002
- Dynamic rainfall-induced landslide susceptibility: A step towards a unified forecasting system M. Ahmed et al. 10.1016/j.jag.2023.103593
- Global Distribution of Extreme Precipitation and High-Impact Landslides in 2010 Relative to Previous Years D. Kirschbaum et al. 10.1175/JHM-D-12-02.1
- Keynote lecture. Landslide Early Warning Systems: Resources or Problems? F. Guzzetti et al. 10.1051/e3sconf/202341503010
- Space-time landslide predictive modelling L. Lombardo et al. 10.1016/j.earscirev.2020.103318
- Can global rainfall estimates (satellite and reanalysis) aid landslide hindcasting? U. Ozturk et al. 10.1007/s10346-021-01689-3
- A satellite-based global landslide model A. Farahmand & A. AghaKouchak 10.5194/nhess-13-1259-2013
- Landslide inventory for hazard assessment in a data-poor context: a regional-scale approach in a tropical African environment E. Monsieurs et al. 10.1007/s10346-018-1008-y
- Landslide databases for climate change detection and attribution J. Wood et al. 10.1016/j.geomorph.2020.107061
- Soil moisture information can improve shallow landslide forecasting using the hydrometeorological threshold approach P. Marino et al. 10.1007/s10346-020-01420-8
- Innovative landslide susceptibility mapping supported by geomorphon and geographical detector methods W. Luo & C. Liu 10.1007/s10346-017-0893-9
- The application of DInSAR and Bayesian statistics for the assessment of landslide susceptibility D. Kouhartsiouk & S. Perdikou 10.1007/s11069-020-04433-7
- Developmental characteristics of rainfall-induced landslides from 1999 to 2016 in Wenzhou City of China H. Qin et al. 10.3389/feart.2022.1005199
- I–D Threshold Analysis of Rainfall-Triggered Landslides Based on TRMM Precipitation Data in Wudu, China S. Ning et al. 10.3390/rs15153892
- Prototyping an experimental early warning system for rainfall-induced landslides in Indonesia using satellite remote sensing and geospatial datasets Z. Liao et al. 10.1007/s10346-010-0219-7
- Evaluating the performances of satellite-based rainfall data for global rainfall-induced landslide warnings G. Jia et al. 10.1007/s10346-019-01277-6
- A distributed hydrological–geotechnical model using satellite-derived rainfall estimates for shallow landslide prediction system at a catchment scale . Apip et al. 10.1007/s10346-010-0214-z
- Geophysical investigation of Obot Ekpo Landslide site, Cross River State, Nigeria A. Akpan et al. 10.1016/j.jafrearsci.2015.05.015
- Clouds in the Cloud: Weather Forecasts and Applications within Cloud Computing Environments A. Molthan et al. 10.1175/BAMS-D-14-00013.1
- Landslide prediction, monitoring and early warning: a concise review of state-of-the-art B. Chae et al. 10.1007/s12303-017-0034-4
- Precipitation from Space: Advancing Earth System Science P. Kucera et al. 10.1175/BAMS-D-11-00171.1
- A global landslide catalog for hazard applications: method, results, and limitations D. Kirschbaum et al. 10.1007/s11069-009-9401-4
- How far are we from the use of satellite rainfall products in landslide forecasting? M. Brunetti et al. 10.1016/j.rse.2018.03.016
- Analysis of human exposure to landslides with a GIS multiscale approach S. Modugno et al. 10.1007/s11069-021-05186-7
- Satellite-derived rainfall thresholds for landslide early warning in Bogowonto Catchment, Central Java, Indonesia E. Chikalamo et al. 10.1016/j.jag.2020.102093
- Detection of landslide events using logistic regression and support vector machine . Suroso et al. 10.1051/e3sconf/202346401012
- Could the magnitude of the 3/11 disaster have been reduced by ecological planning? A retrospective multi-hazard risk assessment through map overlay M. Uehara et al. 10.1016/j.landurbplan.2022.104541
- Landslides and Fortified Settlements as Valuable Cultural Geomorphosites and Geoheritage Sites in the Moldavian Plateau, North-Eastern Romania M. Niculiţă & M. Mărgărint 10.1007/s12371-017-0261-0
- Landslide Susceptibility Mapping in the Vrancea-Buzău Seismic Region, Southeast Romania H. Harmouzi et al. 10.3390/geosciences11120495
- Forecasting the response of Earth's surface to future climatic and land use changes: A review of methods and research needs J. Pelletier et al. 10.1002/2014EF000290
- Global Dynamic Rainfall-Induced Landslide Susceptibility Mapping Using Machine Learning B. Li et al. 10.3390/rs14225795
- Semi-automated landslide inventory mapping from bitemporal aerial photographs using change detection and level set method Z. Li et al. 10.1016/j.rse.2016.01.003
- Adapting sudden landslide identification product (SLIP) and detecting real-time increased precipitation (DRIP) algorithms to map rainfall-triggered landslides in Western Cameroon highlands (Central-Africa) A. Ngandam Mfondoum et al. 10.1186/s40677-021-00189-9
- Design and implementation of site-specific rainfall-induced landslide early warning and monitoring system: a case study at Nam Dan landslide (Vietnam) Q. Gian et al. 10.1080/19475705.2017.1401561
- Automated Satellite-Based Landslide Identification Product for Nepal J. Fayne et al. 10.1175/EI-D-17-0022.1
- Aras Nehri havzasında lojistik regresyon yöntemiyle kayma ve akma tip heyelan duyarlılığı değerlendirmesi M. Cihangir 10.17211/tcd.1475065
- Tier-based approaches for landslide susceptibility assessment in Europe A. Günther et al. 10.1007/s10346-012-0349-1
- From scenario-based seismic hazard to scenario-based landslide hazard: fast-forwarding to the future via statistical simulations L. Lombardo & H. Tanyas 10.1007/s00477-021-02020-1
- A Landslide Numerical Factor Derived from CHIRPS for Shallow Rainfall Triggered Landslides in Colombia C. Cullen et al. 10.3390/rs14092239
- A public Cloud-based China’s Landslide Inventory Database (CsLID): development, zone, and spatiotemporal analysis for significant historical events, 1949-2011 W. Li et al. 10.1007/s11629-015-3659-7
- A global landslide non-susceptibility map G. Jia et al. 10.1016/j.geomorph.2021.107804
- A data-based landslide susceptibility map of Africa J. Broeckx et al. 10.1016/j.earscirev.2018.05.002
- Do We Need a Higher Resolution? Case Study: Sentinel-1-Based Change Detection of the 2018 Hokkaido Landslides, Japan I. Kovács et al. 10.3390/rs14061350
- InSAR Integrated Machine Learning Approach for Landslide Susceptibility Mapping in California D. Vaka et al. 10.3390/rs16193574
- Evaluation of the Research-Version TMPA Rainfall Estimate at Its Finest Spatial and Temporal Scales over the Rome Metropolitan Area G. Villarini 10.1175/2010JAMC2462.1
- Automated reconstruction of rainfall events responsible for shallow landslides G. Vessia et al. 10.5194/nhess-14-2399-2014
- Technical Note: Use of remote sensing for landslide studies in Europe V. Tofani et al. 10.5194/nhess-13-299-2013
- Non-susceptible landslide areas in Italy and in the Mediterranean region I. Marchesini et al. 10.5194/nhess-14-2215-2014
- Comparison of Satellite Rainfall Estimates and Rain Gauge Measurements in Italy, and Impact on Landslide Modeling M. Rossi et al. 10.3390/cli5040090
- “Satark”: Landslide Prediction System over Western Ghats of India J. Kulkarni et al. 10.3390/land11050689
- Application of logistic regression and fuzzy operators to landslide susceptibility assessment in Azdavay (Kastamonu, Turkey) M. Ercanoglu & F. Temiz 10.1007/s12665-011-0912-4
- Satellite Remote Sensing of Precipitation and the Terrestrial Water Cycle in a Changing Climate V. Levizzani & E. Cattani 10.3390/rs11192301
Latest update: 31 May 2025
Altmetrics