地理研究

地理研究 ›› 2007, Vol. 26 ›› Issue (1): 60-66.doi: 10.11821/yj2007010008

• 城市与乡村 • 上一篇    下一篇

雅鲁藏布江流域NDVI变化与 主要气候因子的关系

付新峰1,4, 杨胜天2, 刘昌明1,3   

  1. 1. 北京师范大学水科学研究院,北京 100875;
    2. 北京师范大学地理学与遥感科学学院遥感科学重点实验室, 北京市环境遥感与数码城市重点实验室,北京 100875;
    3. 中国科学院地理科学与资源研究所,北京 100101;
    4. 黄河水利科学研究院,郑州 450003
  • 收稿日期:2006-04-16 修回日期:2006-09-25 出版日期:2007-01-25 发布日期:2007-01-25
  • 作者简介:付新峰(1977-),男,河南周口人,博士。研究方向为水资源水环境遥感。 *通讯作者 : 杨胜天,教授,博士。主要从事水资源遥感、水资源与水环境方面研究。 E-mail :yangshengtian@bnu.edu.cn
  • 基金资助:

    国家科技攻关计划项目(2005BA901A11);国家自然科学基金项目(40561002)

Changes of NDVI and their relations with principal climatic factors in the Yarlung Zangbo River Basin

FU Xin-feng1,4, YANG Sheng-tian2, LIU Chang-ming1,3   

  1. 1. Collage of Water Science, Beijing Normal University, Beijing 100875,China;
    2. Key Laboratory of Remote Sensing Science, School of Geography, Beijing Normal University, Key Laboratory of Remote Sensing of Environment and Digital City of Beijing City, Beijing 100875,China;
    3. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China;
    4. Yellow River Institute of Hydraulic Research, Zhengzhou 450003, China
  • Received:2006-04-16 Revised:2006-09-25 Online:2007-01-25 Published:2007-01-25
  • Supported by:

    国家科技攻关计划项目(2005BA901A11);国家自然科学基金项目(40561002)

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120 | 24

摘要： 对流域NDVI进行计算的前提下,分析了雅鲁藏布江流域NDVI时空变化特征。时间上,流域NDVI具有很强的季节性。空间上,流域NDVI高值区主要分布于下游与中游的部分地区,而流域中上游与源头NDVI值相对较小。在流域DEM的支持下,把流域站点主要气候因子降水量与平均气温等数据采用Kriging方法插值成与流域NDVI相一致的空间Grid数据。流域NDVI与降水量、平均气温的关系进行F检验与双样本方差分析结果P＝0,表明其相关分析的可信度较高。在0.05的置信水平上对其进行了线性与对数相关分析。结果表明,流域NDVI与降水量的平均线性相关系数达0.8,对数相关系数为0.71;流域NDVI与流域平均气温线性相关系数为0.77,对数相关系数为0.7。

关键词: NDVI, 降水量, 平均气温, 植被覆盖, 雅鲁藏布江流域

Abstract: As an index denoting vegetation cover, NDVI is influenced by many climatic factors such as precipitation and average air temperature. In this paper, NDVI is calculated on the basis of waveband characteristic of NOAA/AVHRR data (National Oceanic Atmospheric Administration/Advanced Very High Resolution Radiometer) for the Yarlung Zangbo River Basin. Then,the spatio-temporal change of NDVI is analyzed. The basin's NDVI is in consistency with season from 2001 to 2003. High value zone of NDVI is mainly distributed in the lower reaches and part of the middle reaches. Meanwhile, point data of principal climatic factors (precipitation and average air temperature) are interpolated to spatial grid data with Kriging method consistent with NDVI based on DEM of the Yarlung Zangbo River Basin. Then, the relation of NDVI and precipitation or average air temperature is analyzed with F checking and two-sample variance test in the basin. The result is P=0, which shows that correlation analysis has higher confidence. The linear and logarithmic correlation of NDVI and precipitation or average air temperature is analyzed at confidence level of 0.05. The conclusion is that NDVI and precipitation and average air temperature in the basin vary with seasons and are closely correlated. The linear correlation coefficient of NDVI and precipitation is 0.8, and that of NDVI and average air temperature is about 0.77. And the logarithmic correlation coefficient of NDVI and precipitation is 0.71, and that of NDVI and average air temperature is 0.7.

Key words: NDVI, precipitation, average air temperature, vegetation cover, Yarlung Zangbo River Basin