Study on Land Use/Cover Change and its Driving Forces in the Southern Mountainous Areas of Jinan

Article Preview

Abstract:

Land use/cover change situations and its driving forces in the Southern Mountainous Areas of Jinan was investigated based on Landsat TM data of 1987, 2000, 2005 and 2010 in the paper. The result indicates that arable land, grassland and woodland have always accounted for the largest areal proportion in the past three decades. The area of arable land presents a degressive tendency, while the area of grassland and construction land had an opposite tendency. Population, policy as well as urbanization and economic growth are the main driving factors of the land use/cover change in the Southern Mountainous Areas of Jinan.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 962-965)

Pages:

2660-2664

Citation:

Online since:

June 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Jiyuan Liu, Mingliang Liu, Dafang Zhuang, Zengxiang Zhang, Xiangzheng Deng. Institute of Geographic Sciences of Natural Resources Research, Chinese Academy of. Study on spatial pattern of land-use change in China during 1995-2000. Science in China (Series D), Vol. 46 (2003).

DOI: 10.1007/bf02837545

Google Scholar

[2] He C, Wei A. Detecting land-use/land-cover change in rural-urban fringe areas using extended change-vector analysis. International Journal of Applied Earth Observation and Geo-information, Vol. 13 (2011), pp.572-585.

DOI: 10.1016/j.jag.2011.03.002

Google Scholar

[3] Campos M, Velazquez A. An interdisciplinary approach to depict landscape change drivers: A case study of the Ticuiz agrarian community in Michoacán, Mexico . Applied Geography, (2012).

DOI: 10.1016/j.apgeog.2011.06.004

Google Scholar

[4] Jiyuan Liu. Resources Environmental Remote Sensing Survey and dynamics of macroeconomic of China. China Science and Technology Press, 1996(In Chinese).

Google Scholar

[5] Gengxing Zhao, Yuhuan Li, Chunda Xu. Land use dynamic monitoring supported by remote sensing and GIS-- A case study in Kenli County of Yellow River delta. Chinese Journal of Applied Ecology, Vol. 11 (2000), pp.573-576 (In Chinese).

Google Scholar

[6] Liang Li, Wenhong Dan. The analysis of driving factors and spatial and temporal variation of land using pattern of Wuma Lake Basin. Journal of Guizhou Normal University (Natural Sciences), Vol. 31(2013), pp.1-6 (In Chinese).

Google Scholar