SCIENTIA GEOGRAPHICA SINICA ›› 2012, Vol. 32 ›› Issue (1): 105-109.doi: 10.13249/j.cnki.sgs.2012.01.105

• Orginal Article • Previous Articles     Next Articles

The Positive and Negative Terrain of Loess Plateau Extraction Based on the Multi-azimuth DEM Shaded Relief

Yong-gang CHEN1,2(), Guo-an TANG1, Yi ZHOU1, Fa-yuan LI1, Shi-jiang YAN1, Lei ZHANG1   

  1. 1.Key Laboratory of Virtual Geogrpahic Environment of Ministry of Education,Nanjing Normal University,Nanjing, Jiangsu 210046,China
    2. Zhejiang Provincial Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration, Zhejiang Agriculture and Forestry University, Lin’an, Zhejiang 311300, China
  • Received:2011-02-20 Revised:2011-04-11 Online:2012-01-20 Published:2012-01-20

Abstract:

Based on the DEM data of Jiuyuangou wateshed in Suide County, Shaanxi of China, with a spatial resolution of 5 m, employing the digital terrain analysis, multivariate statistics and data mining methods, multiple indexes of multi-azimuth DEM shaded relief and slope are established. The solutions of extraction positive and negative terrain of loess plateau by Principle Components Analysis, and Logistic regression model is proposed. The result indicates that: the extracting model has better consistency and accuracy, of which the accuracy is 82.1% and Kappa statistics is 0.6298. Tested on 6 samples of different valley by this model, the mean accuracy of positive and negative terrain are at 77.6% and 84.9%, and weighed mean accuracy is 81.3%. It is suitable to extract positive and negative terrain of loess plateau by PCA and Logistic regression model.

Key words: positive and negative terrain, Loess Plateau, Principle Components Analysis, Logistic regression

CLC Number: 

  • P931.7/TP311.132