【摘要】 利用Krigging插值方法对1982—1999年降水、气温数据插值生成中国东北地区的二维气象因子影像,然后与东北地区的1982—1999年的NOAA/AVHRRRNDVI月平均、季平均、年平均影像做零时滞偏相关、复相关分析,及以月为时滞间隔偏相关、复相关分析.得出:(1)东北地区与降水、气温相关性最强的植被类型;(2)时滞相关性比零时滞相关性更显著的植被类型及不显著的植被类型.(3)东北地区森林植被类型与气象因子相关性的时空分异规律.更多还原

【Abstract】 Krigging method is used to interpolate precipitation and temperature data from 1982 to 1999. As a result, meteorological factors images with two dimensions in the Northeast China are produced. Then zero and month time lag correlation between meteorological factors and NDVI is analyzed with meteorological factors images and NDVI images of monthly , season and yearly mean. Thereby, the conclusion includes the following aspects: 1 forest vegetation types with highest correlation between meteorological factors and NDVI, 2 forest vegetation types with higher month time lag correlation than zero month time lag correlation, and forest vegetation types with lower month time lag correlation than zero month time lag correlation, 3 Temporal and spatial variability of correlation between forest vegetation types and meteorological factors.更多还原