Insights from the topographic characteristics of a large global catalog of rainfall-induced landslide event inventories
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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Insights from the topographic characteristics of a large global catalog of rainfall-induced landslide event inventories ; day:02 ; month:09 ; year:2021 ; pages:1-33 ; extent:33
Natural hazards and earth system sciences discussions ; (02.09.2021), 1-33 (gesamt 33)
- Creator
- DOI
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10.5194/nhess-2021-250
- URN
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urn:nbn:de:101:1-2021090905303174226461
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
- 15.08.2002, 7:34 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Emberson, Robert
- Kirschbaum, Dalia
- Amatya, Pukar
- Tanyas, Hakan
- Marc, Odin
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Insights from the topographic characteristics of a large global catalog of rainfall-induced landslide event inventories
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Initial insights from a global database of rainfall-induced landslide inventories: the weak influence of slope and strong influence of total storm rainfall
Evaluation of a preliminary satellite-based landslide hazard algorithm using global landslide inventories
Physical-based rainfall-triggered shallow landslide forecasting
Exploring available landslide inventories for susceptibility analysis in Gipuzkoa province (Spain)
Comparison of event landslide inventories: the Pogliaschina catchment test case, Italy
Quantitative assessment of information quality in textual sources for landslide inventories
Probabilistic modelling of rainfall induced landslide hazard assessment
Insights from the topographic characteristics of a large global catalog of rainfall-induced landslide event inventories
Landslide susceptibility assessment using different rainfall event-based landslide inventories: advantages and limitations
Automated digital data acquisition for landslide inventories
Towards a global database of rainfall-induced landslide inventories: first insights from past and new events
Landslide susceptibility analysis by means of event-based multi-temporal landslide inventories
Initial insights from a global database of rainfall-induced landslide inventories: the weak influence of slope and strong influence of total storm rainfall
Evaluation of a preliminary satellite-based landslide hazard algorithm using global landslide inventories
Physical-based rainfall-triggered shallow landslide forecasting
Exploring available landslide inventories for susceptibility analysis in Gipuzkoa province (Spain)
Comparison of event landslide inventories: the Pogliaschina catchment test case, Italy
Quantitative assessment of information quality in textual sources for landslide inventories
Probabilistic modelling of rainfall induced landslide hazard assessment
Insights from the topographic characteristics of a large global catalog of rainfall-induced landslide event inventories
Landslide susceptibility assessment using different rainfall event-based landslide inventories: advantages and limitations
Automated digital data acquisition for landslide inventories
Towards a global database of rainfall-induced landslide inventories: first insights from past and new events
Landslide susceptibility analysis by means of event-based multi-temporal landslide inventories
Initial insights from a global database of rainfall-induced landslide inventories: the weak influence of slope and strong influence of total storm rainfall
Evaluation of a preliminary satellite-based landslide hazard algorithm using global landslide inventories
Physical-based rainfall-triggered shallow landslide forecasting
Exploring available landslide inventories for susceptibility analysis in Gipuzkoa province (Spain)
Comparison of event landslide inventories: the Pogliaschina catchment test case, Italy
Quantitative assessment of information quality in textual sources for landslide inventories