Analysing and visualizing spatio-temporal landslide patterns
Daniel Hölbling
Department of Geoinformatics - Z_GIS, University of Salzburg, Schillerstrasse 30, 5020 Salzburg, Austria
Raphael Spiekermann
Landcare Research, Private Bag 11052, Manawatu Mail Centre, Palmerston North 4442, New Zealand
Andrea Binn
Department of Geodesy and Geoinformation, Vienna University of Technology, Schallergasse 25/13, 1120 Vienna, Austria
Harley Betts
Landcare Research, Private Bag 11052, Manawatu Mail Centre, Palmerston North 4442, New Zealand
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Lorena Abad, Martin Sudmanns, and Daniel Hölbling
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This study relies on topography to simulate the origin and displacement of potentially river-blocking landslides. It highlights a continuous range of simulated landslide dams that go unnoticed in the field due to their small scale. The computation results show that landslide-dammed lake volume can be estimated from upstream drainage area and landslide volume, thus enabling an efficient hazard assessment of possible landslide-dammed lake volume – and flooding magnitude in case of dam failure.
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Comprehensive and sustainable landslide management, including identification of landslide-susceptible areas, requires a lot of organisations and people to collaborate efficiently. In this study, we propose a concept for a system that provides users with a platform to share the location of landslide events for further collaboration in Nepal. The system can be beneficial for specifying potentially risky regions and consequently, the development of risk mitigation strategies at the local level.
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Preprint under review for NHESS
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Communicating uncertainties is a crucial yet challenging aspect of spatial modelling – especially in applied research, where results inform decisions. In disaster risk reduction, susceptibility maps for natural hazards guide planning and risk assessment, yet their uncertainties are often overlooked. We present a new type of landslide susceptibility map that visualizes both susceptibility and associated uncertainty, alongside guidelines for creating such maps using free and open-source software.
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Lorena Abad, Martin Sudmanns, and Daniel Hölbling
AGILE GIScience Ser., 5, 16, https://doi.org/10.5194/agile-giss-5-16-2024, https://doi.org/10.5194/agile-giss-5-16-2024, 2024
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Abstr. Int. Cartogr. Assoc., 5, 1, https://doi.org/10.5194/ica-abs-5-1-2022, https://doi.org/10.5194/ica-abs-5-1-2022, 2022
L. Abad, D. Hölbling, Z. Dabiri, and B. A. Robson
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-W1-2022, 5–11, https://doi.org/10.5194/isprs-archives-XLVIII-4-W1-2022-5-2022, https://doi.org/10.5194/isprs-archives-XLVIII-4-W1-2022-5-2022, 2022
Anne-Laure Argentin, Jörg Robl, Günther Prasicek, Stefan Hergarten, Daniel Hölbling, Lorena Abad, and Zahra Dabiri
Nat. Hazards Earth Syst. Sci., 21, 1615–1637, https://doi.org/10.5194/nhess-21-1615-2021, https://doi.org/10.5194/nhess-21-1615-2021, 2021
Short summary
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This study relies on topography to simulate the origin and displacement of potentially river-blocking landslides. It highlights a continuous range of simulated landslide dams that go unnoticed in the field due to their small scale. The computation results show that landslide-dammed lake volume can be estimated from upstream drainage area and landslide volume, thus enabling an efficient hazard assessment of possible landslide-dammed lake volume – and flooding magnitude in case of dam failure.
Sansar Raj Meena, Florian Albrecht, Daniel Hölbling, Omid Ghorbanzadeh, and Thomas Blaschke
Nat. Hazards Earth Syst. Sci., 21, 301–316, https://doi.org/10.5194/nhess-21-301-2021, https://doi.org/10.5194/nhess-21-301-2021, 2021
Short summary
Short summary
Comprehensive and sustainable landslide management, including identification of landslide-susceptible areas, requires a lot of organisations and people to collaborate efficiently. In this study, we propose a concept for a system that provides users with a platform to share the location of landslide events for further collaboration in Nepal. The system can be beneficial for specifying potentially risky regions and consequently, the development of risk mitigation strategies at the local level.
Z. Dabiri, D. Hölbling, L. Abad, G. Prasicek, A.-L. Argentin, and T.-T. Tsai
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W8, 103–108, https://doi.org/10.5194/isprs-archives-XLII-3-W8-103-2019, https://doi.org/10.5194/isprs-archives-XLII-3-W8-103-2019, 2019
Z. Dabiri, D. Hölbling, L. Abad, and D. Tiede
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3-W8, 109–114, https://doi.org/10.5194/isprs-archives-XLII-3-W8-109-2019, https://doi.org/10.5194/isprs-archives-XLII-3-W8-109-2019, 2019
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Abstr. Int. Cartogr. Assoc., 1, 29, https://doi.org/10.5194/ica-abs-1-29-2019, https://doi.org/10.5194/ica-abs-1-29-2019, 2019
F. Albrecht, D. Hölbling, and B. Friedl
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W7, 439–446, https://doi.org/10.5194/isprs-archives-XLII-2-W7-439-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W7-439-2017, 2017