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This research simulates the urban growth and therefore the landscape change of a mountain city of Chongqing, China through a Cellular Automata (CA) based model of SLEUTH. The fundamental data were fou...
Very high resolution optical space images are coming more and more into competition to classical aerial images making them more important for mapping projects. The orientation process of the dominatin...
The monitoring of the variation in glacier areas is increasingly important with the apparent trend of global warming. One of the major ice sheets on the planet, the main glaciers of Southern Patagonia...
In mixed old growth broadleaves of Hyrcanian forests, it is difficult to estimate stand volume at plot level by remotely sensed data while LiDar data is absent. In this paper, a new approach has been ...
The fundamental principle underlying the methods used to extract bathymetric information from remote-sensed imagery is that different wavelengths of the solar light penetrate the water body to differe...
This paper investigates the association between night-time lights and socio-economic metrics at the regional level. This regional level of understanding is critical as it underpins much economic monit...
Evaluation of Forest Fire Risk by the Analysis of Environmental Data and TM Images
Evaluation of Forest Fire Danger in Spain by Means of NOAA AVHRR Images
DOW – a System for Generation of Digital Orthophotos from Aerial and Spot Images
Extracting Vector Data and Attributes from Stereo Images with Phocus。

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