地理科学 ›› 2012, Vol. 32 ›› Issue (1): 105-109.doi: 10.13249/j.cnki.sgs.2012.01.105

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基于多方位DEM地形晕渲的黄土地貌正负地形提取

陈永刚1,2(), 汤国安1, 周毅1, 李发源1, 宴实江1, 张磊1   

  1. 1.南京师范大学虚拟地理环境教育部重点实验室, 江苏 南京 210046
    2.浙江农林大学浙江省森林生态系统碳循环与固碳减排重点实验室, 浙江 临安 311300
  • 收稿日期:2011-02-20 修回日期:2011-04-11 出版日期:2012-01-20 发布日期:2012-01-20
  • 作者简介:

    作者简介: 陈永刚(1980-),男,内蒙兴和人,博士研究生,从事DEM信息提取研究及GIS在林业中应用开发工作。E-mail:cyg_gis@163.com

  • 基金资助:
    国家自然科学基金项目(40930531、40801148)、浙江省教育厅项目(Y201017891)资助

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

摘要:

以陕北绥德县韭园沟流域5 m分辨率DEM数据为基础,在数字地形分析、多元统计和数据挖掘方法的基础上,提出利用多方位DEM地形晕渲、坡度等多元指标,以主成分分析消除多重共线性和约减维数,并以Logistic回归模型提取黄土高原正、负地形的方法。研究结果表明:模型提取精度为82.1%,Kappa统计量为0.629;模型在6个不同流域测试样本上正、负地形的平均精度分别为77.6%,84.9%,加权平均精度为81.3%,模型具有较好的一致性和泛化能力,正、负地形提取效果良好。

关键词: 正负地形, 黄土高原, 主成分分析, Logistic回归

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

中图分类号: 

  • P931.7/TP311.132