'Virtual globe' software systems such as Google Earth are growing rapidly in popularity as a way to visualise and share 3D environmental data. Scientists and environmental professionals, many of whom are new to 3D modeling and visual communications, are beginning routinely to use such techniques in their work. While the appeal of these techniques is evident, with unprecedented opportunities for...

Remote sensing has considerable potential to contribute to the identification and reconstruction of lost hydrological systems and networks. Remote sensing-based reconstructions of palaeo-river networks have commonly employed single or limited time-span imagery, which limits their capacity to identify features in complex and varied landscape contexts. This paper presents a seasonal multi-tempora...

A method has been developed which automatically extracts river and river bank locations from arbitrarily sourced high resolution ("lm) visual spectrum imagery without recourse to multi-spectral or even color information. This method relies on quantifying the difference in image texture between the relatively smooth surface of the river water and the rougher surface of the vegetated land or buil...

This paper presents our designed three dimensional (3D) natural interaction navigation system using Micro-electromechanical systems (MEMS) CHR-6dm with ZigBee wireless technology for broader interactive coverage range usage. Related sensor interface software and sensor data observation are presented. Furthermore, local machine platform realization for Google Earth (GE) 3D navigation using movem...

Using Google Earth, Google Maps, and/or network visualization programs such as Pajek, one can overlay the network of relations among addresses in scientific publications onto the geographic map. We discuss the pros and cons of various options, and provide software (freeware) for bridging existing gaps between the Science Citation Indices and Scopus, on the one hand, and these various visualizat...