To determine the behavior of rainwater after rainfall, it is important to obtain local ground-slope information and topographic-feature information, e.g., ridges and valleys. To obtain such information, a method that uses overground openness (OO) and underground openness (UO) has been proposed previously [1]. In this method, OO and UO are calculated using a digital elevation model (DEM). In addition, a method has developed to generate a red relief image map [2] by combining the ridge–valley degree (RVD) calculated as (OO-UO)/2 and the gradient of the ground to visualize general topographical characteristics. However, these methods do not fully utilize the features of currently available highresolution DEM data, and, to the best of our knowledge, automatic extraction of ridge valley lines has not been considered to date. To address the former problem, a new method [3] that uses CG techniques was proposed to enable an openness calculation that reflects the DEM resolution. Thus, in this paper, we propose a method to extract ridge and valley lines automatically using OO and UO values obtained from a high-resolution DEM [3].
Predicting the occurrence of a natural disaster with high accuracy and providing an evacuation warning at the appropriate level are important for reducing any casualties. In the case of a landslide, for example, the behavior of rainwater after falling on the ground needs to be estimated. This estimation requires information on not only the local ground slope but also topographic features such as ridges and valleys. To obtain the latter, a method was previously proposed for using digital elevation model (DEM) data to obtain the overground and underground openness of an area. However, this method is not suitable for high-precision DEM data because it does not allow for dense sampling. To address this problem, this paper proposes a method for calculating the openness that uses a computer graphics technique to reflect the features of high-precision DEM data. The proposed method was applied to both simple-shape artificial terrain data and actual DEM data, and its usefulness was confirmed.
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