Dit onderzoekt maakt deel uit van het project virtueel Nederland. Het uitgangspunt van deze studie is: de ruimtelijke planning van Nederland levert betere resultaten op, als gebruik gemaakt wordt van ruimtelijke verbeelding, zoals google earth die biedt, waarin samenwerken: Vrije Universiteit, Wageningen Universiteit, LEI, Dienst Landelijk Gebied en Nieuwland. Het uitgangspunt van deze studie is: de ruimtelijke planning van Nederland levert betere resultaten op, als gebruik gemaakt wordt van ruimtelijke verbeelding, zoals google earth die biedt

The year 2005 was an important milestone in the efforts of ICARDA and its partners in meeting the global challenges of agriculture in dry areas through the application of science. In an assessment of all 15 CGIAR Centers (based on science quality and relevance, impacts, partnerships, and financial and institutional health), conducted by the CGIAR in collaboration with the Science Council and the World Bank, ICARDA was rated outstanding" - one of only two centers to receive this rating.

Introduction of geoinformation technologies for building up a modern land management system in Georgia goes back to mid-1990s. This has been stimulated by start of land reform resulting in privatization of over 3 million agricultural land plots in whole in the entire country. These new properties were to be properly surveyed, registered and recorded in a newly established cadastral system with the aim of launching free market transactions.

Remotely-sensed images and Geographical Information Systems (GIS) data were integrated into the SLEUTH cellular automata (CA) model to analyze land-use/land-cover dynamics in Chiang Mai city and its surrounds. The land-use and land-cover statistics, obtained from GIS data base and satellite images from 1952, 1977, 1989 and 2000 revealed rapid increased in urbanization during these periods. To understand the underlying causes of land-use and land-cover dynamics, remote sensing, GIS and modeling techniques were applied.

Remotely-sensed images and Geographical Information Systems (GIS) data were integrated into the SLEUTH cellular automata (CA) model to analyze land-use/land-cover dynamics in Chiang Mai city and its surrounds. The land-use and land-cover statistics, obtained from GIS data base and satellite images from 1952, 1977, 1989 and 2000 revealed rapid increased in urbanization during these periods. To understand the underlying causes of land-use and land-cover dynamics, remote sensing, GIS and modeling techniques were applied.