With the pressure on ecological environment from rapid urbanization and decreasing farmland becoming more and more
concerned in the world, especially in developing countries, such as China, the spatial-temporal change of farmland, even
the change trends in the future, should be analyzed and forecasted to serve for regional and national social, economic and
environmental sustainable development in the long future. Based on the multi-temporal remote sensing images, RS and
GIS spatial analysis technology, this paper used transfer matrix method to identify mutual-transformation quantity
among various land-use types from 1988 to 2004, chose 6 representative landscape metrics to analyze the overall
farmland landscape pattern, utilized orientation azimuth and buffer analysis method to quantify spatial-temporal
characteristics of farmland dynamic degree (Df) in different direction and distance from city center, then selected Markov
model to forecast the land-use development and variation tendency reasonably. The results showed that the conversion
from farmland to built-up area was the most important characteristics of land-use change in Shenyang city, the
fragmentation and complication of farmland landscape became more obvious with fast urbanization and industrialization,
and the landscape dominance of farmland was being weakened, the maximum of farmland dynamic degree located in the
west region of Shenyang, and the high speed change of farmland concentrated on 4 to 6 km away from city center, the
area of farmland will continuously decrease in the future according to the result of the model of Markov process.
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