We introduce a novel method for classification and mapping of landforms based on the idea that the Earth’s surface can be described by the two complementary measures: relief-independent, local spatial pattern and the magnitude of the relief itself. The first of these two measures is sufficient to classify and map the landforms. At the core of the method is the concept of geomorphon (geomorpholo...

There are many applications involving featured terrains visualization. One of them is for gaming purposes. However, when dealing with real data, many of this applications fail to cope with such information. So, this work presents an efficient way to minimize or even remove this kind of problem. We propose a method based on image-based rendering and view-dependent visualization techniques. These...

In hydrological and soil erosion modelling at large spatial scales, semi-distributed approaches may use representative hillslope profiles to reproduce landscape variability. Until now, the process of delineating landscape units as homogeneous parts of the landscape with regard to their terrain, vegetation, and soil properties required expert knowledge and familiarity with the study area. In add...

Large format digital camera (LFDC) systems are becoming more broadly available and regularly collect image data over large areas. Spectral and radiometric attributes of imagery from LFDC systems make this type of image data appropriate for semi-automated change detection. However, achieving accurate spatial co-registration between multitemporal image sets is necessary for semi-automated change ...

Mars probes send back to Earth enormous amount of data. Automating the analysis of this data and its interpretation represents a challenging test of significant benefit to the domain of planetary science. In this study, we propose combining terrain segmentation and classification to interpret Martian topography data and to identify constituent landforms of the Martian landscape. Our approach us...