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利用NOAA NDVI数据集分析中国植被绿波推移规律
引用本文:王长耀,牛铮,张庆员,王汶,陈秀万. 利用NOAA NDVI数据集分析中国植被绿波推移规律[J]. 中国图象图形学报, 1999, 4(11): 976-979
作者姓名:王长耀  牛铮  张庆员  王汶  陈秀万
作者单位:王长耀(中国科学院遥感应用研究所,北京,100101);牛铮(中国科学院遥感应用研究所,北京,100101);张庆员(中国科学院遥感应用研究所,北京,100101);王汶(中国科学院遥感应用研究所,北京,100101);陈秀万(北京大学遥感与信息系统研究所,北京,100871)
摘    要:利用NOAA AVHRR时间序列数据集进行中国植被绿波随季相变化的规律分析.研究结果表明,植被绿波在一年中沿纬和经度变化有很大差异,并有一定的规律.在同一经度,绿波随着季相变化由南向北推进.在同一纬度绿波的强度与一年的降雨量有密切关系,绿被指数由东向西逐渐减小.从每月绿度等级图宏观分析表明,夏季植被绿波向北推移可占全国陆地70%以上的面积;而冬季褐波向南推移也覆盖了全国陆地70%以上的面积.

关 键 词:植被绿波 推移分析 NOAA数据
修稿时间:1999-11-03

Analysis of Vegetation Green Wave Change in China Using NOAA NDVI Data Set
Wang Changyao,NIU Zheng,Zhang Qingyuan,Wang Wen and CHEN Xiuwan. Analysis of Vegetation Green Wave Change in China Using NOAA NDVI Data Set[J]. Journal of Image and Graphics, 1999, 4(11): 976-979
Authors:Wang Changyao  NIU Zheng  Zhang Qingyuan  Wang Wen  CHEN Xiuwan
Abstract:This paper provides a preliminary overview of vegetation green wave change analysis using a time series remote sensing data in China. A series of 12 monthly average NDVI data, which is derived from NOAA AVHRR data is used in this study. The research result shows that the vegetation green wave change is different along the longitude and latitude during the year. Along the same longitude, vegetation change is closely corresponded to the seasonal change law. The higher the latitude is, the greater the scope of seasonal changes. Along the same latitude the vegetation index change is closely related to precipitation change during the year. The result of greenness classification for each monthly NDVI image also shows that in summer, the high green wave classes occupy most area of China; in opposite, brown wave classes occupy most of territory of China in winter.
Keywords:Vegetation  Green wave  NOAA data
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