Exploring landslide erosion volume–area scaling relationships by slip depth using changes in DTMs for basin sediment volume estimation

Chen, Su‐Chin; Chen, Chien-yuan; Huang, Wenyan

doi:10.1007/s11629-018-4888-3

Cited by 14 publications

(4 citation statements)

References 56 publications

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“…A similar approach was used to estimate landslide volumes in Taiwan (S.‐C. Chen et al., 2019; Tseng et al., 2013). Many polygon boundaries mapped from aerial image interpretation were subsequently edited to improve their fit in relation to the difference raster and this involved both enlarging and shrinking the size of scar polygons.…”

Section: Methodsmentioning

confidence: 99%

“…The two DEMs were used to calculate a 1-m resolution elevation difference raster calculated between the 2018 and 2016-2017 DEMs (i.e., 2018 minus 2016-2017) Therefore, elevation losses resulting from landsliding show as negative values in the resulting raster. A similar approach was used to estimate landslide volumes in Taiwan (S.-C. Chen et al, 2019;Tseng et al, 2013). Many polygon boundaries mapped from aerial image interpretation were subsequently edited to improve their fit in relation to the difference raster and this involved both enlarging and shrinking the size of scar polygons.…”

Section: Landslide Database Generation and Lidar-based Analysesmentioning

confidence: 99%

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Sediment Mobilization by Hurricane‐Driven Shallow Landsliding in a Wet Subtropical Watershed

et al. 2021

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Section: Methodsmentioning

confidence: 99%

Section: Landslide Database Generation and Lidar-based Analysesmentioning

confidence: 99%

Sediment Mobilization by Hurricane‐Driven Shallow Landsliding in a Wet Subtropical Watershed

et al. 2021

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“…The fragment size distributions of a rockfall can be expressed in terms of cumulative relative frequency, and tted by a power-law equation characterized by two parameters (i.e., ) in Eq. (7). is a constant associated with the minimum signi cant block size ( ), and is an exponent which is the slope of the distribution in a log-log representation.…”

Section: Rockfall Volume Estimationmentioning

confidence: 99%

Use of UAV-based photogrammetry products for high-locality fragmented rockfall volume estimation

huang,

Huang,

Hales

et al. 2024

Preprint

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Empirical-statistical and field measurement schemes for high-locality fragmental rockfall volume estimation are challenging to obtain an accurate and reliable result. The flexible and adaptive statistical method using remote sensing technology may improve the quality of rockfall volume estimation which is important for hazard assessment. In this study, a hybrid methodology for the volume estimation in fragmental rockfall events is presented. The image recognition techniques combined with an unmanned aerial vehicle (UAV) are used to estimate the block sizes in the deposit area. Compared to field-measured values, the relative errors are less than 6 % indicating the feasibility of the proposed method in a rockfall block size estimation. Therefore, the fragmental rockfall volume can be determined based on the rockfall block size distribution (RBSD). The RBSD of fragmental rockfall can be well-fitted by a power-law distribution (y=0.01V0-1.14}). Then, the estimated volume is compared to the result from pre- and post-failure changes in the surface elevation by the digital surface model (DSM). The mean ratio is up to 82.26% based on the depletion volume, and 90.65% on the deposition volume. The estimation accuracy is better than the ratio of 57% to empirical formulas for the rockfall volume estimation. Even though there are still uncertainties in the volume estimation, the results show that the proposed method may be helpful for such kind of hazard assessment and mitigation.

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“…There exist several practical examples of estimating landslide volumes that rely on empirical power-law relationships between the area of a landslide and its volume 2 , 15 , 16 Although area (A) can be easily obtained from a landslide inventory map, volume (V) typically requires a small amount of field component or accurate pre- and post-event topographic data to finally compute the scaling exponent γ and intercept α in the equation V = α.A γ 17 . Literature suggests that the major source of uncertainty in the volume estimation comes from the uncertainty in the parameter γ 2 , 18 . The value of γ is reported to be in the range of 1.0 ≤ γ ≤ 1.9 for a volume sizes of 10 2 m 3 to 10 3 m 3 19 .…”

Section: Introductionmentioning

confidence: 99%

Earthquake-induced soil landslides: volume estimates and uncertainties with the existing scaling exponents

Yunus

Chen

Catani

et al. 2023

Sci Rep

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Quantifying landslide volumes in earthquake affected areas is critical to understand the orogenic processes and their surface effects at different spatio-temporal scales. Here, we build an accurate scaling relationship to estimate the volume of shallow soil landslides based on 1 m pre- and post-event LiDAR elevation models. On compiling an inventory of 1719 landslides for 2018 Mw 6.6 Hokkaido-Iburi earthquake epicentral region, we find that the volume of soil landslides can be estimated by γ = 1.15. The total volume of eroded debris from Hokkaido-Iburi catchments based on this new scaling relationship is estimated as 64–72 million m3. Based on the GNSS data approximation, we noticed that the co-seismic uplift volume is smaller than the eroded volume, suggesting that frequent large earthquakes (and rainfall extremes) may be counterbalancing the topographic uplift through erosion by landslides, especially in humid landscapes such as Japan, where soil properties are rather weak.

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Exploring landslide erosion volume–area scaling relationships by slip depth using changes in DTMs for basin sediment volume estimation

Cited by 14 publications

References 56 publications

Sediment Mobilization by Hurricane‐Driven Shallow Landsliding in a Wet Subtropical Watershed

Sediment Mobilization by Hurricane‐Driven Shallow Landsliding in a Wet Subtropical Watershed

Use of UAV-based photogrammetry products for high-locality fragmented rockfall volume estimation

Earthquake-induced soil landslides: volume estimates and uncertainties with the existing scaling exponents

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