Articles | Volume 15, issue 10
https://doi.org/10.5194/nhess-15-2257-2015
© Author(s) 2015. 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-15-2257-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
09 Oct 2015
Research article |
| 09 Oct 2015
A dynamic landslide hazard assessment system for Central America and Hispaniola
D. B. Kirschbaum
CORRESPONDING AUTHOR
Hydrological Sciences Laboratory, Goddard Space Flight Center, Greenbelt, Maryland, USA
T. Stanley
Hydrological Sciences Laboratory, Goddard Space Flight Center, Greenbelt, Maryland, USA
Universities Space Research Association, Columbia, Maryland, USA
J. Simmons
Columbia University, New York, USA
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Cited
41 citations as recorded by crossref.
- Approximating Long-Term Statistics Early in the Global Precipitation Measurement Era T. Stanley et al. 10.1175/EI-D-16-0025.1
- 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
- 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
- Satellite‐Based Assessment of Rainfall‐Triggered Landslide Hazard for Situational Awareness D. Kirschbaum & T. Stanley 10.1002/2017EF000715
- Preface: Landslide early warning systems: monitoring systems, rainfall thresholds, warning models, performance evaluation and risk perception S. Segoni et al. 10.5194/nhess-18-3179-2018
- Satellite-derived rainfall thresholds for landslide early warning in Bogowonto Catchment, Central Java, Indonesia E. Chikalamo et al. 10.1016/j.jag.2020.102093
- Geographical landslide early warning systems F. Guzzetti et al. 10.1016/j.earscirev.2019.102973
- An assessment of the spatial distribution of shallow landslides induced by Hurricane María in Puerto Rico C. Ramos-Scharrón et al. 10.1080/02723646.2020.1801121
- The Global Precipitation Measurement (GPM) mission's scientific achievements and societal contributions: reviewing four years of advanced rain and snow observations G. Skofronick‐Jackson et al. 10.1002/qj.3313
- “Satark”: Landslide Prediction System over Western Ghats of India J. Kulkarni et al. 10.3390/land11050689
- Soil Water Content Estimated by Support Vector Machine for the Assessment of Shallow Landslides Triggering: the Role of Antecedent Meteorological Conditions M. Bordoni et al. 10.1007/s10666-017-9586-y
- Physical Interpretation of Rainfall Thresholds for Runoff‐Generated Debris Flows M. Berti et al. 10.1029/2019JF005513
- Landslide susceptibility assessment in scarce-data regions using remote sensing data E. Aristizábal-Giraldo & D. Ruiz-Vásquez 10.17533/udea.redin.20231030
- Spatially distributed rainfall information and its potential for regional landslide early warning systems E. Canli et al. 10.1007/s11069-017-2953-9
- A Landslide Numerical Factor Derived from CHIRPS for Shallow Rainfall Triggered Landslides in Colombia C. Cullen et al. 10.3390/rs14092239
- 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
- Comparison of GA-BP and PSO-BP neural network models with initial BP model for rainfall-induced landslides risk assessment in regional scale: a case study in Sichuan, China C. Zhu et al. 10.1007/s11069-019-03806-x
- Rainfall thresholds estimation for shallow landslides in Peru from gridded daily data C. Millán-Arancibia & W. Lavado-Casimiro 10.5194/nhess-23-1191-2023
- The human cost of global warming: Deadly landslides and their triggers (1995–2014) U. Haque et al. 10.1016/j.scitotenv.2019.03.415
- Incorporation of Satellite Precipitation Uncertainty in a Landslide Hazard Nowcasting System S. Hartke et al. 10.1175/JHM-D-19-0295.1
- Exploiting historical rainfall and landslide data in a spatial database for the derivation of critical rainfall thresholds D. Caracciolo et al. 10.1007/s12665-017-6545-5
- Topographic Analysis of Landslide Distribution Using AW3D30 Data A. Nonomura et al. 10.3390/geosciences10040115
- Spatial and Temporal Analysis of Global Landslide Reporting Using a Decade of the Global Landslide Catalog C. Dandridge et al. 10.3390/su15043323
- A susceptibility-based rainfall threshold approach for landslide occurrence E. Monsieurs et al. 10.5194/nhess-19-775-2019
- Patterns of influence of different landslide boundaries and their spatial shapes on the uncertainty of landslide susceptibility prediction Y. Xing et al. 10.1007/s11069-023-06025-7
- Evaluating TMPA Rainfall over the Sparsely Gauged East African Rift E. Monsieurs et al. 10.1175/JHM-D-18-0103.1
- A new emergency decision support system: the automatic interpretation and contextualisation of events to model a crisis situation in real-time A. Fertier et al. 10.1016/j.dss.2020.113260
- A Data-Driven Surrogate Approach for the Temporal Stability Forecasting of Vegetation Covered Dikes E. Jamalinia et al. 10.3390/w13010107
- A warming-induced reduction in snow fraction amplifies rainfall extremes M. Ombadi et al. 10.1038/s41586-023-06092-7
- Machine learning and landslide studies: recent advances and applications F. Tehrani et al. 10.1007/s11069-022-05423-7
- A systematic review on rainfall thresholds for landslides occurrence F. Gonzalez et al. 10.1016/j.heliyon.2023.e23247
- The Norwegian forecasting and warning service for rainfall- and snowmelt-induced landslides I. Krøgli et al. 10.5194/nhess-18-1427-2018
- Vegetation as a driver of temporal variations in slope stability: The impact of hydrological processes J. Kim et al. 10.1002/2017GL073174
- The twin catastrophic flows occurred in 2014 at Ambato Range (28°09′–28°20′S), Catamarca Province, Northwest Argentina D. Fernández et al. 10.1016/j.jsames.2020.103086
- Data-Driven Landslide Nowcasting at the Global Scale T. Stanley et al. 10.3389/feart.2021.640043
- Keynote lecture. Landslide Early Warning Systems: Resources or Problems? F. Guzzetti et al. 10.1051/e3sconf/202341503010
- NASA’s Global Precipitation Measurement Mission: Leveraging Stakeholder Engagement & Applications Activities to Inform Decision-making A. Portier et al. 10.1016/j.rsase.2022.100853
- Using satellite rainfall products to assess the triggering conditions for hydro-morphological processes in different geomorphological settings in China N. Wang et al. 10.1016/j.jag.2021.102350
- Community perceptions of landslide risk and susceptibility: a multi-country study M. Bukhari et al. 10.1007/s10346-023-02027-5
- Establishing rainfall frequency contour lines as thresholds for rainfall-induced landslides in Tegucigalpa, Honduras, 1980–2005 E. Garcia-Urquia 10.1007/s11069-016-2297-x
- A comparison of slope units and grid cells as mapping units for landslide susceptibility assessment Q. Ba et al. 10.1007/s12145-018-0335-9
39 citations as recorded by crossref.
- Approximating Long-Term Statistics Early in the Global Precipitation Measurement Era T. Stanley et al. 10.1175/EI-D-16-0025.1
- 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
- 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
- Satellite‐Based Assessment of Rainfall‐Triggered Landslide Hazard for Situational Awareness D. Kirschbaum & T. Stanley 10.1002/2017EF000715
- Preface: Landslide early warning systems: monitoring systems, rainfall thresholds, warning models, performance evaluation and risk perception S. Segoni et al. 10.5194/nhess-18-3179-2018
- Satellite-derived rainfall thresholds for landslide early warning in Bogowonto Catchment, Central Java, Indonesia E. Chikalamo et al. 10.1016/j.jag.2020.102093
- Geographical landslide early warning systems F. Guzzetti et al. 10.1016/j.earscirev.2019.102973
- An assessment of the spatial distribution of shallow landslides induced by Hurricane María in Puerto Rico C. Ramos-Scharrón et al. 10.1080/02723646.2020.1801121
- The Global Precipitation Measurement (GPM) mission's scientific achievements and societal contributions: reviewing four years of advanced rain and snow observations G. Skofronick‐Jackson et al. 10.1002/qj.3313
- “Satark”: Landslide Prediction System over Western Ghats of India J. Kulkarni et al. 10.3390/land11050689
- Soil Water Content Estimated by Support Vector Machine for the Assessment of Shallow Landslides Triggering: the Role of Antecedent Meteorological Conditions M. Bordoni et al. 10.1007/s10666-017-9586-y
- Physical Interpretation of Rainfall Thresholds for Runoff‐Generated Debris Flows M. Berti et al. 10.1029/2019JF005513
- Landslide susceptibility assessment in scarce-data regions using remote sensing data E. Aristizábal-Giraldo & D. Ruiz-Vásquez 10.17533/udea.redin.20231030
- Spatially distributed rainfall information and its potential for regional landslide early warning systems E. Canli et al. 10.1007/s11069-017-2953-9
- A Landslide Numerical Factor Derived from CHIRPS for Shallow Rainfall Triggered Landslides in Colombia C. Cullen et al. 10.3390/rs14092239
- 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
- Comparison of GA-BP and PSO-BP neural network models with initial BP model for rainfall-induced landslides risk assessment in regional scale: a case study in Sichuan, China C. Zhu et al. 10.1007/s11069-019-03806-x
- Rainfall thresholds estimation for shallow landslides in Peru from gridded daily data C. Millán-Arancibia & W. Lavado-Casimiro 10.5194/nhess-23-1191-2023
- The human cost of global warming: Deadly landslides and their triggers (1995–2014) U. Haque et al. 10.1016/j.scitotenv.2019.03.415
- Incorporation of Satellite Precipitation Uncertainty in a Landslide Hazard Nowcasting System S. Hartke et al. 10.1175/JHM-D-19-0295.1
- Exploiting historical rainfall and landslide data in a spatial database for the derivation of critical rainfall thresholds D. Caracciolo et al. 10.1007/s12665-017-6545-5
- Topographic Analysis of Landslide Distribution Using AW3D30 Data A. Nonomura et al. 10.3390/geosciences10040115
- Spatial and Temporal Analysis of Global Landslide Reporting Using a Decade of the Global Landslide Catalog C. Dandridge et al. 10.3390/su15043323
- A susceptibility-based rainfall threshold approach for landslide occurrence E. Monsieurs et al. 10.5194/nhess-19-775-2019
- Patterns of influence of different landslide boundaries and their spatial shapes on the uncertainty of landslide susceptibility prediction Y. Xing et al. 10.1007/s11069-023-06025-7
- Evaluating TMPA Rainfall over the Sparsely Gauged East African Rift E. Monsieurs et al. 10.1175/JHM-D-18-0103.1
- A new emergency decision support system: the automatic interpretation and contextualisation of events to model a crisis situation in real-time A. Fertier et al. 10.1016/j.dss.2020.113260
- A Data-Driven Surrogate Approach for the Temporal Stability Forecasting of Vegetation Covered Dikes E. Jamalinia et al. 10.3390/w13010107
- A warming-induced reduction in snow fraction amplifies rainfall extremes M. Ombadi et al. 10.1038/s41586-023-06092-7
- Machine learning and landslide studies: recent advances and applications F. Tehrani et al. 10.1007/s11069-022-05423-7
- A systematic review on rainfall thresholds for landslides occurrence F. Gonzalez et al. 10.1016/j.heliyon.2023.e23247
- The Norwegian forecasting and warning service for rainfall- and snowmelt-induced landslides I. Krøgli et al. 10.5194/nhess-18-1427-2018
- Vegetation as a driver of temporal variations in slope stability: The impact of hydrological processes J. Kim et al. 10.1002/2017GL073174
- The twin catastrophic flows occurred in 2014 at Ambato Range (28°09′–28°20′S), Catamarca Province, Northwest Argentina D. Fernández et al. 10.1016/j.jsames.2020.103086
- Data-Driven Landslide Nowcasting at the Global Scale T. Stanley et al. 10.3389/feart.2021.640043
- Keynote lecture. Landslide Early Warning Systems: Resources or Problems? F. Guzzetti et al. 10.1051/e3sconf/202341503010
- NASA’s Global Precipitation Measurement Mission: Leveraging Stakeholder Engagement & Applications Activities to Inform Decision-making A. Portier et al. 10.1016/j.rsase.2022.100853
- Using satellite rainfall products to assess the triggering conditions for hydro-morphological processes in different geomorphological settings in China N. Wang et al. 10.1016/j.jag.2021.102350
- Community perceptions of landslide risk and susceptibility: a multi-country study M. Bukhari et al. 10.1007/s10346-023-02027-5
2 citations as recorded by crossref.
- Establishing rainfall frequency contour lines as thresholds for rainfall-induced landslides in Tegucigalpa, Honduras, 1980–2005 E. Garcia-Urquia 10.1007/s11069-016-2297-x
- A comparison of slope units and grid cells as mapping units for landslide susceptibility assessment Q. Ba et al. 10.1007/s12145-018-0335-9
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Latest update: 24 Apr 2024
Short summary
This research presents a new framework for evaluating potential landslide activity in near real time. This system was implemented in Central America and the Caribbean by integrating a regional susceptibility map and satellite-based rainfall estimates into a binary decision tree, considering both daily and antecedent rainfall. The model demonstrates the capability to use free, globally available satellite products for near real-time regional landslide hazard assessment and situational awareness.
This research presents a new framework for evaluating potential landslide activity in near real...
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