遥感植被NDVI与气候关系研究中的数学方法

Mathematical Methods in the Study of the Relationship between Remote Sensing Vegetation NDVI and Climate

植被-气候关系是全球变化研究中的重要组成部分,分析气候因子与遥感植被指数之间的相互关系有助于揭示气候变化对植被的影响。植被归一化植被指数(NDVI)作为反映植被生长状况的重要因子,与气候因子是相互影响和相互制约的关系。基于国内外该领域的研究进展,从植被指数或气候时间序列数据预处理方法和遥感植被指数与气候关系研究方法等方面,梳理了植被NDVI与气候关系研究的数学方法,以期为研究植被与气候的关系提供研究方法参考。

Vegetation-climate relationship is an important part for research on global change.It is helpful to analyze the relationship between climate factors and remote sensing vegetation index for revealing the impact of climate change on vegetation.The Normalized Difference Vegetation Index(NDVI)is an important indicator of vegetation growth status,which has a relationship of mutual influence and mutual condition with climate factors.Based on the research progress in the field,this paper summarizes the mathematical methods of the research on relationship between vegetation NDVI and climate in terms of the vegetation index or climate factors time series data preprocessing methods and remote sensing vegetation index-climate relationship study method.It will provide a methodological reference for the study of the relationship between vegetation and climate in the future.