The spatial-temporal change and forecast of farmland landscape in Shenyang city based on GIS and RS

Rui Zhou; Yue-hui Li; Yuan-man Hu; Xiao-qing Wu

doi:10.1117/12.836821

10 July 2009 The spatial-temporal change and forecast of farmland landscape in Shenyang city based on GIS and RS

Rui Zhou, Yue-hui Li, Yuan-man Hu, Xiao-qing Wu

Proceedings Volume 7491, PIAGENG 2009: Remote Sensing and Geoscience for Agricultural Engineering; 74910U (2009) https://doi.org/10.1117/12.836821
Event: International Conference on Photonics and Image in Agriculture Engineering (PIAGENG 2009), 2009, Zhangjiajie, China

Abstract

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.

Citation Download Citation

Rui Zhou, Yue-hui Li, Yuan-man Hu, and Xiao-qing Wu "The spatial-temporal change and forecast of farmland landscape in Shenyang city based on GIS and RS", Proc. SPIE 7491, PIAGENG 2009: Remote Sensing and Geoscience for Agricultural Engineering, 74910U (10 July 2009); https://doi.org/10.1117/12.836821

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