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cje ›› 2009, Vol. 28 ›› Issue (09): 1730-1736.

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Monitoring of land use/cover changes in Keerqin Sandy Land based on the decision tree classification.

ZHANG Jian-ping1,2|ZHU Jiao-jun1;YAN Qiao-ling1|WANG Chong-chang2   

  1. 1Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China|2Liaoning Technical University, Fuxin 123000, Liaoning,China
  • Online:2009-09-10 Published:2009-09-10

Abstract: In this paper, land use/cover changes of Keerqin Sandy Land in Wengniute Banner, Inner Mongolia, were monitored by using decision tree classification method with threephase (1989, 1999 and 2007) Landsat ETM/TM data. The results showed that based on the decision tree classification method, the overall accuracy of remote sensing image classification was more than 89.4%, and Kappa coefficient reached more than 0.84. In the past 20-years, the main land use types were both grassland and arable land, and these two types of land use accounted for more than 64%. Furthermore, the area of forest land was very small, accounting for 4.8%-5.3%. From 1989 to 2007, the changes of land area were ranked as: arable land > unused land > forest land >habitation > water area > grassland.

Key words: Soil nutrient, Spatial variability, Geostatistics