Examining Land Use and Land Cover Spatiotemporal Change and Driving Forces in Beijing from 1978 to 2010

Remote Sensing

Yichen Tian⁴  Kai Yin⁴  Dengsheng Lu³  Lizhong Hua¹  Qianjun Zhao⁴  Meiping Wen⁴  Soe Myint² 

[1] College of computer and Information Engineering, Xiamen University of Technology, Xiamen 361024, China; E-Mail:Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China;;Center for Global Change and Earth Observations, Michigan State University, East Lansing, MI 48823, USA; E-Mail:;Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China; E-Mails:

关键词: land use and land cover change;    object-oriented classification;    anthropogenic driving force;    Landsat;    Beijing;   

DOI  :  10.3390/rs61110593

来源: mdpi

【 摘 要 】

Land use and land cover (LULC) datasets for Beijing in 1978, 1987, 1992, 2000 and 2010 were developed from Landsat images using the object-oriented classification approach. The relationships between social-economic, demographic and political factors and time-series LULC data were examined for the periods between 1978 and 2010. The results showed the effectiveness of using the object-oriented decision tree classification method for LULC classification with time series of Landsat images. Combined with anthropogenic driving forces, our research can effectively explain the detailed LULC change trajectories corresponding to different stages and give new insights for Beijing LULC change patterns. The results show a significant increase in forest and built-up areas, but a decrease in arable lands, due to urbanization and reforestation. Large ecological projects result in an increase of forest areas and population, and economic conditions result in urban expansion. The anthropogenic driving forces analysis results further prove that both population increase and economic development played important roles in the expansion of built-up areas. Both the qualitative and quantitative anthropogenic driving forces analysis methods were helpful for better understanding the mechanisms of LULC change.

【 授权许可】

CC BY   
© 2014 by the authors; licensee MDPI, Basel, Switzerland.