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Research Article

Incorporating the effect of ALS-derived DEM uncertainty for quantifying changes due to the landslide in 2011, Mt. Umyeon, Seoul

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Pages 287-301 | Received 31 May 2019, Accepted 27 Oct 2019, Published online: 08 Nov 2019

Figures & data

Figure 1. The location of the study area: (a) map of South Korea; (b) map of Seoul and the location of Mt. Umyeon; (c) aerial image of Mt. Umyeon in 2011.

Figure 1. The location of the study area: (a) map of South Korea; (b) map of Seoul and the location of Mt. Umyeon; (c) aerial image of Mt. Umyeon in 2011.

Table 1. Basic information about ALS data used in the study.

Figure 2. LiDAR data in the study area: (a) raw point cloud of 2009; (b) raw point cloud of 2011; (c) filtered points of 2009; (d) filtered points of 2011; (e) TIN model of 2009; (f) TIN model of 2011; (g) 1-m DEM of 2009; (f) 1-m DEM of 2011.

Figure 2. LiDAR data in the study area: (a) raw point cloud of 2009; (b) raw point cloud of 2011; (c) filtered points of 2009; (d) filtered points of 2011; (e) TIN model of 2009; (f) TIN model of 2011; (g) 1-m DEM of 2009; (f) 1-m DEM of 2011.

Figure 3. The spatial distribution of DoD in the study area.

Figure 3. The spatial distribution of DoD in the study area.

Figure 4. GNSS measurements in the study area: (a) the locations of the GNSS measurements overlayed on the point cloud; (b) boxplot of the elevation differences between GNSS measurements and LiDAR observations; (c) the elevation differences between GNSS measurements and LiDAR observations.

Figure 4. GNSS measurements in the study area: (a) the locations of the GNSS measurements overlayed on the point cloud; (b) boxplot of the elevation differences between GNSS measurements and LiDAR observations; (c) the elevation differences between GNSS measurements and LiDAR observations.

Figure 5. Vertical accuracy assessment by using stable terrain measurements: (a) location of road segments; (b) Box-and-whiskers plots representing the distribution of elevation differences of each road segment and the total.

Figure 5. Vertical accuracy assessment by using stable terrain measurements: (a) location of road segments; (b) Box-and-whiskers plots representing the distribution of elevation differences of each road segment and the total.

Figure 6. Spatial distribution of estimated error in the study area: (a) estimated error in the DEM of 2009; (b) estimated error in the DEM of 2011; (c) estimated error of DoD.

Figure 6. Spatial distribution of estimated error in the study area: (a) estimated error in the DEM of 2009; (b) estimated error in the DEM of 2011; (c) estimated error of DoD.

Figure 7. The probability calculated from DoD with uniformly distributed DEM error: (a) spatial distribution of t-score; (b) spatial distribution of the converted probability; (c) thresholded DoD with 68% confidence interval of the t-distribution; (d) thresholded DoD with 95% confidence interval of the t-distribution.

Figure 7. The probability calculated from DoD with uniformly distributed DEM error: (a) spatial distribution of t-score; (b) spatial distribution of the converted probability; (c) thresholded DoD with 68% confidence interval of the t-distribution; (d) thresholded DoD with 95% confidence interval of the t-distribution.

Figure 8. The probability updated by Bayes Theorem with uniformly distributed uncertainty: (a) the probability revealed from spatial index analysis; (b) the conditional posterior probability; (c) thresholded DoD with 68% confidence interval; (d) thresholded DoD with 95% confidence interval.

Figure 8. The probability updated by Bayes Theorem with uniformly distributed uncertainty: (a) the probability revealed from spatial index analysis; (b) the conditional posterior probability; (c) thresholded DoD with 68% confidence interval; (d) thresholded DoD with 95% confidence interval.

Figure 9. The probability calculated from DoD with spatially distributed DEM error: (a) spatial distribution of t-score; (b) spatial distribution of the converted probability; (c) thresholded DoD with 68% confidence interval of the t-distribution; (d) thresholded DoD with 95% confidence interval of the t-distribution.

Figure 9. The probability calculated from DoD with spatially distributed DEM error: (a) spatial distribution of t-score; (b) spatial distribution of the converted probability; (c) thresholded DoD with 68% confidence interval of the t-distribution; (d) thresholded DoD with 95% confidence interval of the t-distribution.

Figure 10. The probability updated by Bayes Theorem with spatially distributed uncertainty: (a) the probability revealed from spatial index analysis; (b) the conditional posterior probability; (c) thresholded DoD with 68% confidence interval; (d) thresholded DoD with 95% confidence interval.

Figure 10. The probability updated by Bayes Theorem with spatially distributed uncertainty: (a) the probability revealed from spatial index analysis; (b) the conditional posterior probability; (c) thresholded DoD with 68% confidence interval; (d) thresholded DoD with 95% confidence interval.

Table 2. Volumetric changes over whole study area.

Table 3. Volumetric changes of small-scale watershed areas, A and B.

Figure 11. Volumetric changes in small-scale areas, A and B: (a) The location of selected areas; (b) Graph with different thresholding criteria.

Figure 11. Volumetric changes in small-scale areas, A and B: (a) The location of selected areas; (b) Graph with different thresholding criteria.

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