地理科学

地理科学 ›› 2014, Vol. 34 ›› Issue (12): 1511-1517.doi: 10.13249/j.cnki.sgs.2014.012.1511

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蒙古高原地形与植被指数的特征尺度及多尺度耦合关系

胡云锋1(), 徐芝英1,2   

  1. 1.中国科学院地理科学与资源研究所,北京 100101
    2.中国科学院大学,北京 100049
  • 收稿日期:2013-07-11 修回日期:2013-11-05 出版日期:2014-12-10 发布日期:2014-12-10
  • 作者简介:

    作者简介：胡云锋（1974-）,男,江西赣州人,博士,副研究员,主要从事资源环境遥感与地理信息技术应用研究。E-mail:huyf@lreis.ac.cn

  • 基金资助:
    国家重点基础研究发展计划项目（2010CB950904）、中国科学院方向性项目（KZCX2-EW-306）和国家自然科学基金项目（40971223）资助

Characteristic Scales and the Multi-scale Correlation Between DEM and NDVI Factors: A Case Study in the Mongolian Plateau

Yun-feng HU1(), Zhi-ying XU1,2   

  1. 1. Institute of Geographical Sciences and Natural Resources Research,Chinese Acadamy of Sciences, Beijing100101,China
    2. University of Chinese Academy of Sciences, Beijing 100049,China
  • Received:2013-07-11 Revised:2013-11-05 Online:2014-12-10 Published:2014-12-10

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17

摘要：

基于GTOP30 DEM数据及MODIS NDVI数据,应用小波变换和小波多尺度相关分析方法对蒙古高原地形因子、NDVI因子的尺度特征及两因子间的多尺度相关关系进行研究。结果表明：① DEM在北部地区的变异程度较南部强烈,在西部地区的变异程度较东部强烈。DEM的空间分布呈现出一个约为20 km的特征尺度。②NDVI空间分布格局的态势与DEM态势基本相同,且呈现出2个特征尺度,较小的特征尺度出现在2~4 km左右,较大的特征尺度出现在20 km左右。③ DEM与NDVI在20 km尺度上存在耦合关系,即随着地形地貌在20 km尺度上发生较大变化,植被生长状况的空间分布也随之发生变化。地形因子趋向于在宏观尺度上制约NDVI的空间分布。论文最后总结了小波分析方法在地学空间数据中具有特征尺度识别和多尺度耦合相关分析的能力,同时也指出了该方法在连续尺度分析、特点位置多尺度相关分析以及二维小波分析方面的不足。

关键词: 小波分析, 尺度, DEM, NDVI, 蒙古高原

Abstract:

As one of multi-scale analysis methods, wavelet analysis can effectively solve multi-scale problems in geo-sciences research. In order to effectively analyze the spatial distribution pattern and identify the multi-scale features of DEM and NDVI, four sampling lines were set up along the longitudinal and latitudinal transects (43°N, 47°N, 100°E, and 110°E). And then supported by wavelet transformation using db6 as wavelet base, the wavelet variances and multi-scale relationships of DEM and NDVI were calculated to identify the characteristic scale and analyze the coupling relationship between DEM and NDVI. The results showed: 1) In Mongolian Plateau, the spatial variations of DEM in northern and western parts were stronger than that in the southern and eastern parts. Along the latitudinal and longitudinal transects, there existed one characteristic scale around 20 km. 2) The spatial variations of NDVI was similar to that of DEM in the whole Mongolia Plateau. While two characteristic scales of NDVI distribution were identified, with a small scale of 2-4 km and a larger scale of 20 km. 3) As to the DEM and NDVI factor, there existed a coupling relationship in the 20 km scale. As a great change of the topography(DEM) had taken place in the specific scales, a large change of vegetation (NDVI)then occurred correspondingly. Generally, the terrain factors tended to affect the spatial distribution of NDVI in macroscopic scale, instead of microscopic scale. This article finally summarized that the wavelet analysis method had the abilities indeed to recognize the characteristic scale and to quantitatively analyze multi-scale correlation among different factors. At the same time, the authors also pointed out that the method had some incapacities for the two-dimension spatial data analyses, including continuous scale analysis, the multi-scale correlation analysis in a specific position and two-dimensional analysis.

Key words: wavelet, scale, DEM, NDVI, Mongolia Plateau

中图分类号: 

  • Q149