1- Department of GIS, Tarbiat Moallem University, Tehran, Iran.
2- M.Sc. Gratuated of Remote Sensing & GIS, Tarbiat Modares University,
Tehran, Iran.
3- Assistant Professor., Department of GIS, KNT University, Tehran, Iran
Abstract: (6550 Views)
Detection of land use/cover changes in many different studies is one of the basic needs for environmental monitoring and management. Conversion of agricultural lands is one of the main issues related to urban planning. In this study an attempt has been made to study land use/cover changes through image processing techniques. Two landsat TM images of Isfahan area provided in 1990 and 1998 were atmospherically rectified and registered on each other. Images were then classified to ten different land use/cover classes using Bayesian classification algorithm. Training sites were generated using fuzzy logic approach. A post classification comparison approach was then used to create a change map. The results show a dramatic change on agricultural lands in this area during this period.
Received: 2004/02/8 | Accepted: 2004/04/19 | Published: 2010/09/21