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地理研究  2015, Vol. 34 Issue (11): 2113-2123    DOI: 10.11821/dlyj201511010
  研究论文 本期目录 | 过刊浏览 | 高级检索 |
基于DEM-NDVI的高山植被带定量刻划
常纯1,2(),王心源1,3(),杨瑞霞1,3,刘传胜1,3,骆磊1,2,甄静1,3,项波1,3,宋经纬1,2,廖颖1,2
1. 中国科学院遥感与数字地球研究所,数字地球重点实验室,北京 100094
2. 中国科学院大学,北京 100049
3. 联合国教科文组织国际自然与文化遗产空间技术中心,北京 100094
A quantitative characterization method for alpine vegetation zone based on DEM and NDVI
CHANG Chun1,2(),WANG Xinyuan1,3(),YANG Ruixia1,3,LIU Chuansheng1,3,LUO Lei1,2,ZHEN Jing1,3,XIANG Bo1,3,SONG Jingwei1,2,LIAO Ying1,2
1. Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, CAS, Beijing 100094, China
2. University of Chinese Academy of Sciences, Beijing 100049, China
3. International Centre on Space Technologies for Natural and Cultural Heritage under the Auspices of UNESCO, Beijing 100094, China
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摘要 

根据不同高山植被类型具有不同归一化植被指数响应的特点,通过对NDVI的分析来定量刻划高山植被带的海拔分布。首先,利用DEM、NDVI构建DEM-NDVI散点分布图;然后,结合地面调查资料与WorldView-2高分遥感影像对DEM-NDVI散点分布图进行统计回归分析;最后,利用分析结果定量刻划高山植被垂直分带结构。将该方法应用于四川卧龙大熊猫保护区的卧龙关沟,结果表明:① NDVI随海拔升高而呈“Z”字形变化;② DEM-NDVI散点图比样本点DEM-NDVI分布图能更完全地表达高山植被NDVI随高程变化的特征;③ 卧龙关沟东北坡高山植被带海拔高度为3255~4415 m,西南坡高山植被带海拔高度为3193~4473 m,与地面调查得到的区域代表植被的分布高度基本一致。

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常纯
王心源
杨瑞霞
刘传胜
骆磊
甄静
项波
宋经纬
廖颖
关键词 高山植被定量刻划DEMNDVI卧龙    
Abstract

Alpine vegetations, whose distribution vary with changing altitudes, are located in inaccessible areas under cold climate condition. This has caused great challenges in terms of quantitatively characterizing the spatial distribution of alpine vegetation. For example, extremely huge time and money costs are the inevitable handicaps in traditional ground transects and quadrat surveys. Moreover, ground transects, and quadrat survey methods may cause some errors when local ecological features are used to characterize the expanded region. Based on the theory that vegetation of different types have different normalized difference vegetation index (NDVI) responses, NDVI analysis in this study was used to quantitatively characterize the spatial distribution of alpine vegetation. Firstly, a DEM-NDVI scatter diagram was plotted based on DEM and NDVI data. Secondly, statistical regression analysis was conducted in combination of ground survey data, high resolution remote sensing images with the DEM-NDVI scatter diagram. The spatial distribution of alpine vegetation was then derived upon the analysis results. We applied the method to a test area, Wolongguangou, Wolong Giant Panda Reserve. The results demonstrated that: (1) NDVI presented a 'Z' pattern as the altitude increased. (2) The DEM-NDVI scatter diagram expressed the NDVI variation of alpine vegetation more completely when compared to a traditional sample-point DEM-NDVI plot. (3) The elevations of alpine vegetation ranged from 3255 m to 4415 m on the northeast slope and 3193 m to 4473 m on the southwest slope, respectively. This finding was favorably consistent with the ground survey results in the respective regions.

Key wordsalpine vegetation    quantitative characterization    DEM    NDVI    Wolong
收稿日期: 2015-06-15      出版日期: 2015-11-24
基金资助:国家国际科技合作项目(S2013GR0477);国家自然科学基金(41271427)
引用本文:   
常纯, 王心源, 杨瑞霞, 刘传胜, 骆磊, 甄静, 项波, 宋经纬, 廖颖. 基于DEM-NDVI的高山植被带定量刻划[J]. 地理研究, 2015, 34(11): 2113-2123.
CHANG Chun, WANG Xinyuan, YANG Ruixia, LIU Chuansheng, LUO Lei, ZHEN Jing, XIANG Bo, SONG Jingwei, LIAO Ying. A quantitative characterization method for alpine vegetation zone based on DEM and NDVI. GEOGRAPHICAL RESEARCH, 2015, 34(11): 2113-2123.
链接本文:  
http://www.dlyj.ac.cn/CN/10.11821/dlyj201511010      或      http://www.dlyj.ac.cn/CN/Y2015/V34/I11/2113
Fig. 1  实验区遥感概况图

注:图像下载自谷歌地球。

Fig. 2  技术路线图
Tab. 1  卧龙地区代表植被海拔高程分布[17]
Fig. 3  DEM-NDVI散点分布图. (a) 1994年东北坡, (b) 1994年西南坡, (c) 2007年东北坡, (d) 2007年西南坡
Fig. 4  DEM-NDVI四区段两次不同核心区选择示意图
Tab. 2  两次不同核心区定量刻画结果
Tab. 3  DEM-NDVI散点图各区段海拔高度及NDVI取值范围
Fig. 5  样本点分布图
Fig. 6  样本点与2007年东北坡DEM-NDVI散点图叠加结果
Tab. 4  DEM-NDVI各区段植被类型
Fig. 7  NDVI滑动平均值及方差
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