Articles | Volume 15, issue 4
https://doi.org/10.5194/nhess-15-723-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/nhess-15-723-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Amalgamation in landslide maps: effects and automatic detection
Helmholtz Centre Potsdam, German Research Center for Geosciences (GFZ), Telegrafenberg, 14473 Potsdam, Germany
Institute of Earth and Environmental Sciences, University of Potsdam, Potsdam, Germany
N. Hovius
Helmholtz Centre Potsdam, German Research Center for Geosciences (GFZ), Telegrafenberg, 14473 Potsdam, Germany
Institute of Earth and Environmental Sciences, University of Potsdam, Potsdam, Germany
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Cited
82 citations as recorded by crossref.
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- Spatio-temporal evolution of mass wasting after the 2008 Mw 7.9 Wenchuan earthquake revealed by a detailed multi-temporal inventory X. Fan et al. 10.1007/s10346-018-1054-5
- Noncontact detection of earthquake-induced landslides by an enhanced image binarization method incorporating with Monte-Carlo simulation Z. Han et al. 10.1080/19475705.2018.1520745
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- Landslides and fluvial response to landsliding induced by the 1933 Diexi earthquake, Minjiang River, eastern Tibetan Plateau L. Dai et al. 10.1007/s10346-021-01717-2
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- The size, distribution, and mobility of landslides caused by the 2015 Mw7.8 Gorkha earthquake, Nepal K. Roback et al. 10.1016/j.geomorph.2017.01.030
- Quantifying Near‐Surface Rock Strength on a Regional Scale From Hillslope Stability Models K. Townsend et al. 10.1029/2020JF005665
- Characteristics of landslide path dependency revealed through multiple resolution landslide inventories in the Nepal Himalaya S. Roberts et al. 10.1016/j.geomorph.2021.107868
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- Storm-triggered landslides in the Peruvian Andes and implications for topography, carbon cycles, and biodiversity K. Clark et al. 10.5194/esurf-4-47-2016
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- Cumulative damage evolution rule of rock slope based on shaking table test using VMD-HT J. Chen et al. 10.1016/j.enggeo.2023.107003
- Landslide development within 3 years after the 2015 Mw 7.8 Gorkha earthquake, Nepal Y. Tian et al. 10.1007/s10346-020-01366-x
- Decadal vegetation succession from MODIS reveals the spatio-temporal evolution of post-seismic landsliding after the 2008 Wenchuan earthquake A. Yunus et al. 10.1016/j.rse.2019.111476
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- Rapid Mapping of Landslides Induced by Heavy Rainfall in the Emilia-Romagna (Italy) Region in May 2023 M. Ferrario & F. Livio 10.3390/rs16010122
- Transient changes of landslide rates after earthquakes O. Marc et al. 10.1130/G36961.1
- Seismic and geological controls on earthquake-induced landslide size A. Valagussa et al. 10.1016/j.epsl.2018.11.005
- The influence of frequency and duration of seismic ground motion on the size of triggered landslides—A regional view R. Jibson & H. Tanyaş 10.1016/j.enggeo.2020.105671
- Constraining landslide timing in a data-scarce context: from recent to very old processes in the tropical environment of the North Tanganyika-Kivu Rift region O. Dewitte et al. 10.1007/s10346-020-01452-0
- Landslide susceptibility modeling by interpretable neural network K. Youssef et al. 10.1038/s43247-023-00806-5
- Beyond 2D landslide inventories and their rollover: synoptic 3D inventories and volume from repeat lidar data T. Bernard et al. 10.5194/esurf-9-1013-2021
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- Insights from the topographic characteristics of a large global catalog of rainfall-induced landslide event inventories R. Emberson et al. 10.5194/nhess-22-1129-2022
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- Landslide mobilization rates: A global analysis and model J. Broeckx et al. 10.1016/j.earscirev.2019.102972
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- Mechanistic insights from emergent landslides in physical experiments O. Beaulieu et al. 10.1130/G47875.1
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- Long-term erosion of the Nepal Himalayas by bedrock landsliding: the role of monsoons, earthquakes and giant landslides O. Marc et al. 10.5194/esurf-7-107-2019
- Texton-Based Ensemble Classification of Landslide Source and Transport Areas in VHR Imagery M. Silveira et al. 10.1109/LGRS.2016.2610003
- Automated derivation and spatio-temporal analysis of landslide properties in southern Kyrgyzstan D. Golovko et al. 10.1007/s11069-016-2636-y
- Volume Estimation of Landslide Affected Soil Moisture Using TRIGRS: A Case Study of Longxi River Small Watershed in Wenchuan Earthquake Zone, China T. Sun et al. 10.3390/w13010071
- Simple rules to minimise exposure to coseismic landslide hazard D. Milledge et al. 10.5194/nhess-19-837-2019
- Distribution and Morphometry of Thermocirques in the North of West Siberia, Russia M. Leibman et al. 10.3390/geosciences13060167
- An updated method for estimating landslide‐event magnitude H. Tanyaş et al. 10.1002/esp.4359
- Role of landslides on the volume balance of the Nepal 2015 earthquake sequence A. Valagussa et al. 10.1038/s41598-021-83037-y
- A seismologically consistent expression for the total area and volume of earthquake‐triggered landsliding O. Marc et al. 10.1002/2015JF003732
- Comparison of Earthquake-Triggered Landslide Inventories: A Case Study of the 2015 Gorkha Earthquake, Nepal S. Meena & S. Tavakkoli Piralilou 10.3390/geosciences9100437
- Coseismic Uplift of the 1999 Mw7.6 Chi‐Chi Earthquake and Implication to Topographic Change in Frontal Mountain Belts R. Chuang et al. 10.1029/2020GL088947
- Oxidation of sulfides and rapid weathering in recent landslides R. Emberson et al. 10.5194/esurf-4-727-2016
- Automatic Extraction of Seismic Landslides in Large Areas with Complex Environments Based on Deep Learning: An Example of the 2018 Iburi Earthquake, Japan P. Zhang et al. 10.3390/rs12233992
- Landslides triggered by multiple earthquakes: insights from the 2018 Lombok (Indonesia) events M. Ferrario 10.1007/s11069-019-03718-w
- Archaeological evidence for Holocene landslide activity in the Eastern Carpathian lowland M. Niculiţă et al. 10.1016/j.quaint.2015.12.048
- Use of Very High-Resolution Optical Data for Landslide Mapping and Susceptibility Analysis along the Karnali Highway, Nepal P. Amatya et al. 10.3390/rs11192284
- Investigation of the Effect of the Dataset Size and Type in the Earthquake-Triggered Landslides Mapping: A Case Study for the 2018 Hokkaido Iburu Landslides R. Comert 10.3389/feart.2021.633665
- Temporal Variations in Landslide Distributions Following Extreme Events: Implications for Landslide Susceptibility Modeling J. Jones et al. 10.1029/2021JF006067
- Learnings from rapid response efforts to remotely detect landslides triggered by the August 2021 Nippes earthquake and Tropical Storm Grace in Haiti P. Amatya et al. 10.1007/s11069-023-06096-6
1 citations as recorded by crossref.
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Latest update: 26 Dec 2024
Short summary
We present how amalgamation (i.e. the mapping of several adjacent landslides as a single polygon) can distort results derived from landslide mapping. Errors on the total landslide volume and power-law exponent of the area–frequency distribution, resulting from amalgamation, may be up to 200 and 50%, respectively. We present an algorithm based on image and DEM analysis, for automatic identification of amalgamated polygons, allowing one to check and correct landslide inventories faster.
We present how amalgamation (i.e. the mapping of several adjacent landslides as a single...
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