Abstract
Today there is a worldwide trend towards protecting the environment and its natural resources. This goal is achieved using different procedures and techniques. Remote sensing and geographical information systems, however, are two of the most suitable techniques for monitoring, analysing, and managing Earth resources. Conserved natural areas for wildlife is one of the most important natural resources that should be explored using GIS and RS technologies
In this study, a prototype GIS that can integrate remotely-sensed data to monitor conservation areas (for wildlife) in arid and semi-arid regions is developed. The system uses TM images and other heuristic information to perform its analysis and prediction. Future change in land-cover is anticipated by mathematical models. The mathematical models are developed by this study based on the concepts of least-squares theories and techniques. The system is operational. It is tested using an area in Saudi Arabia. The obtained results showed that the system is accurate.