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.](/cms/asset/dc171859-81fa-4b48-98dd-cc8a49f3dd6f/tgrs_a_1687133_f0001_oc.jpg)
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.](/cms/asset/d3ef45a3-299a-4a84-81a4-fa85d57ca78a/tgrs_a_1687133_f0002_oc.jpg)
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.](/cms/asset/9ae3bc68-7bdf-40f9-82a9-e945cc25324e/tgrs_a_1687133_f0004_oc.jpg)
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.](/cms/asset/e541d5b8-a317-4580-a8d8-092ebb529467/tgrs_a_1687133_f0005_oc.jpg)
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.](/cms/asset/c1abcfb4-fb01-4ea4-94dc-1309cebd1d0f/tgrs_a_1687133_f0006_oc.jpg)
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.](/cms/asset/7b33e0a3-bd2f-4c4e-baf8-f772cd595e14/tgrs_a_1687133_f0007_oc.jpg)
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.](/cms/asset/0fce9a4e-df71-44d3-80c5-840b3875b6ee/tgrs_a_1687133_f0008_oc.jpg)
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.](/cms/asset/3b5e1209-5075-4811-ba00-05eb871ef9df/tgrs_a_1687133_f0009_oc.jpg)
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.](/cms/asset/a557130e-0717-4f8a-a262-f4a9384dd487/tgrs_a_1687133_f0010_oc.jpg)
Table 2. Volumetric changes over whole study area.
Table 3. Volumetric changes of small-scale watershed areas, A and B.