This thesis presents methods to enrich data modeling and analysis in the geoscience domain with a particular focus on geomorphological applications. First, a short overview of the relevant characteristics of the used remote sensing data and basics of its processing and visualization are provided. Then, two new methods for the visualization of vector-based maps on digital elevation models (DEMs)...

Topics covered: 1. Conceptual framework – agents of pattern formation. 2. Abiotic factors – geology, geomorphology, hydrology, soils. 3. Climatic factors – temperature, precipitation, solar radiation, meteorology. 4. Climate-landform effects on vegetation pattern, ecological flows, disturbance regimes and geomorphological processes. 5. Resource management implications – climate change scenarios...

The paper describes the development of a spatial modeling language and visualisation environment that simulates landscape processes. The virtual reality modeling language (VRML) is evaluated as a suitable technology for visualising landscape models. Examples for water runoff and landform evolution are given. D. Pullar Geographical Sciences and Planning The University of Queensland Australia. 40...

This research paper provides an in-depth analysis of the geographical landform types found in Uttar Pradesh, encompassing its diverse topography, river systems, plains, hills, and other notable features. Through a comprehensive study geological history, climate, environmental factors, this aims to offer overview landforms that define Pradesh's distinctive geography.

Key to understanding the implications of climate and land use change on biodiversity and natural resources is to incorporate the physiographic platform on which changes in ecological systems unfold. Here, we advance a detailed classification and high-resolution map of physiography, built by combining landforms and lithology (soil parent material) at multiple spatial scales. We used only relativ...