Digital Change Detection Using Remotely Sensed Data for Monitoring Green Space Destruction in Tabriz

Being very dynamic, natural and artificial land features are changing somewhat rapidly in over lifetime. It is important that such changes be inventoried accurately so that the physical and human processes at work can be more fully understood. Change detection is a technique used in remote sensing to determine the changes in a particular object of study between two or more time periods. This research compared three change detection techniques for detecting urban development, spatially spatially physical extension of Tabriz and its influence on destruction of green Space with landsat TM and ETM+ imageries. Based on post classification comparison and products of two classification maps and initial - final matrix during the period 1989 to 2001, 6743 hectares of building block class increases to 9552 hectares and 866 hectares of this class related to decreasing of Green space class.

Keywords
Changedetection,Green space, Multi temporal remotely sensed data, Post classification