Novel technique for enhanced visual recognition of the landform features developed by spatial analysis on the digital terrain model (DTM) is proposed. The approach called “visibility simulation technique” is consisted form the following steps: (1) visibility calculation, (2) altering an azimuth and zenith angle (following the proposed algorithm), (3) generating continuous surfaces that indicate...

“Danxia landform” is a landform type originally defined in China, characterized by red-colored sandstones and steep cliffs, and developed through long-term erosion. In recent years, Danxia landforms have been receiving international attention, and six examples in China became a UNESCO World Natural Heritage in 2010. However, morphometric studies of Danxia landforms in China have been very limit...

Image scene recognition is a core technology for many aerial remote sensing applications. Different landforms are inputted as different scenes in aerial imaging, and all landform information is regarded as valuable for aerial image scene recognition. However, the conventional features of the Bag-of-Words model are designed using local points or other related information and thus are unable to f...

In recent years, the nature of the complex interactions between the solid earth and the overlying atmosphere has been the subject of much debate (England and Molnar 1990; Whipple et al. 1999; Braun et al. 1999). Does erosion play an important role in the dynamics of mountain building? Is there a strong feedback into the balance of forces at the crustal scale from mass transport by erosional and...

Landform and landscape evolution may be convergent, whereby initial differences and irregularities are (on average) reduced and smoothed, or divergent, with increasing variation and irregularity. Convergent and divergent evolution are directly related to dynamical (in)stability. Unstable interactions among geomorphic system components tend to dominate in earlier stages of development, while sta...

The traditional mapping on digital aerial photos and elevation models has its limits at steep slopes where the surface is only very sparsely sampled even in high resolution data sets. As a consequence, there is too few information available to perform a detailed mapping. In this paper we present a framework for augmenting terrain data with additional photos and show how to utilize this addition...