Articles | Volume 14, issue 7
https://doi.org/10.5194/essd-14-3157-2022
https://doi.org/10.5194/essd-14-3157-2022
Data description paper
 | 
11 Jul 2022
Data description paper |  | 11 Jul 2022

A national landslide inventory for Denmark

Gregor Luetzenburg, Kristian Svennevig, Anders A. Bjørk, Marie Keiding, and Aart Kroon

Related authors

Assessing the impact of climate change on landslides near Vejle, Denmark, using public data
Kristian Svennevig, Julian Koch, Marie Keiding, and Gregor Luetzenburg
Nat. Hazards Earth Syst. Sci., 24, 1897–1911, https://doi.org/10.5194/nhess-24-1897-2024,https://doi.org/10.5194/nhess-24-1897-2024, 2024
Short summary
Evidence of Middle Holocene landslide-generated tsunamis recorded in lake sediments from Saqqaq, West Greenland
Niels J. Korsgaard, Kristian Svennevig, Anne S. Søndergaard, Gregor Luetzenburg, Mimmi Oksman, and Nicolaj K. Larsen
Nat. Hazards Earth Syst. Sci., 24, 757–772, https://doi.org/10.5194/nhess-24-757-2024,https://doi.org/10.5194/nhess-24-757-2024, 2024
Short summary

Related subject area

Domain: ESSD – Land | Subject: Geology and geochemistry
Integration by design: driving mineral system knowledge using multi-modal, collocated, scale-consistent characterisation
James R. Austin, Michael Gazley, Renee Birchall, Ben Patterson, Jessica Stromberg, Morgan Willams, Andreas Björk, Monica Le Gras, Tina D. Shelton, Courteney Dhnaram, Vladimir Lisitsin, Tobias Schlegel, Helen McFarlane, and John Walshe
Earth Syst. Sci. Data, 16, 5027–5067, https://doi.org/10.5194/essd-16-5027-2024,https://doi.org/10.5194/essd-16-5027-2024, 2024
Short summary
MUDA: dynamic geophysical and geochemical MUltiparametric DAtabase
Marco Massa, Andrea Luca Rizzo, Davide Scafidi, Elisa Ferrari, Sara Lovati, Lucia Luzi, and MUDA working group
Earth Syst. Sci. Data, 16, 4843–4867, https://doi.org/10.5194/essd-16-4843-2024,https://doi.org/10.5194/essd-16-4843-2024, 2024
Short summary
A globally distributed dataset of coseismic landslide mapping via multi-source high-resolution remote sensing images
Chengyong Fang, Xuanmei Fan, Xin Wang, Lorenzo Nava, Hao Zhong, Xiujun Dong, Jixiao Qi, and Filippo Catani
Earth Syst. Sci. Data, 16, 4817–4842, https://doi.org/10.5194/essd-16-4817-2024,https://doi.org/10.5194/essd-16-4817-2024, 2024
Short summary
A strontium isoscape of southwestern Australia and progress toward a national strontium isoscape
Patrice de Caritat, Anthony Dosseto, and Florian Dux
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-352,https://doi.org/10.5194/essd-2024-352, 2024
Revised manuscript accepted for ESSD
Short summary
A field-based thickness measurement dataset of fallout pyroclastic deposits in the peri-volcanic areas of Campania (Italy): statistical combination of different predictions for spatial estimation of thickness
Pooria Ebrahimi, Fabio Matano, Vincenzo Amato, Raffaele Mattera, and Germana Scepi
Earth Syst. Sci. Data, 16, 4161–4188, https://doi.org/10.5194/essd-16-4161-2024,https://doi.org/10.5194/essd-16-4161-2024, 2024
Short summary

Cited articles

Alberti, S., Senogles, A., Kingen, K., Booth, A., Castro, P., DeKoekkoek, J., Glover-Cutter, K., Mohney, C., Olsen, M., and Leshchinsky, B.: The Hooskanaden Landslide: historic and recent surge behavior of an active earthflow on the Oregon Coast, Landslides, 17, 2589–2602, https://doi.org/10.1007/s10346-020-01466-8, 2020. 
Brardinoni, F., Slaymakerl, O., and Hassan, M. A.: Landslide inventory in a rugged forested watershed: a comparison between air-photo and field survey data, Geomorphology, 54, 179–196, https://doi.org/10.1016/S0169-555X(02)00355-0, 2003. 
Burns, W. J. and Madin, I. P.: Protocol for Inventroy Mapping of Landslide Deposits from Light Detection and Ranging (LiDAR) Imagery, Oregon Department of Geology and Mineral Industries, 2009. 
Cavalli, M. and Marchi, L.: Characterisation of the surface morphology of an alpine alluvial fan using airborne LiDAR, Nat. Hazards Earth Syst. Sci., 8, 323–333, https://doi.org/10.5194/nhess-8-323-2008, 2008. 
Coe, J. A.: Bellwether sites for evaluating changes in landslide frequency and magnitude in cryospheric mountainous terrain: a call for systematic, long-term observations to decipher the impact of climate change, Landslides, 17, 2483–2501, https://doi.org/10.1007/s10346-020-01462-y, 2020. 
Download
Short summary
We produced the first landslide inventory for Denmark. Over 3200 landslides were mapped using a high-resolution elevation model and orthophotos. We implemented an independent validation into our mapping and found an overall level of completeness of 87 %. The national inventory represents a range of landslide sizes covering all regions that were covered by glacial ice during the last glacial period. This inventory will be used for investigating landslide causes and for natural hazard mitigation.
Altmetrics
Final-revised paper
Preprint