Abstract
Due to inappropriate planning and management, accelerated urban growth and tremendous loss in land, especially cropland, have become a great challenge for sustainable urban development [1]. Detection of such
changes may help decision makers and planners to understand the factors in land use and land cover changes
in order to take effective and useful measures. Remote sensing and GIS techniques may be used as efficient
tools to detect and assess land use changes.In recent years, a considerable land use changes have occurred in
the greater Zanjan area. In order to understand the type and rate of changes in this area, Landsat TM images
captured in 1984 and 2011 have been selected for comparison.First, geometric correction and contrast stretch
are applied. In order to detect and evaluate land use changes, image differencing, principal component
analyses and Fuzzy ARTMAP classification method are applied. Finally, the results of land cover classification for three different times are compared to reveal land use changes.Then, combined Cellular Automata
with Markov Chain analysis is employed to forecast of human impacts on land use change until 2020 in
Zanjan area. The results of the present study disclose that about 44 percents of the total area changed their
land use, e.g., changing agricultural land, orchard and bare land to settlements, construction of industrial
areas and highways. The crop pattern also changes, such as orchard land to agricultural land and vice versa.
The mentioned changes have occurred within last 27 years in Zanjan city and its surrounding area.