摘要
在遥感（ＲＳ）、地理信息系统（ＧＩＳ）、全球定位系统（ＧＰＳ）———３Ｓ支持下，利用连续时间序列的１ｋｍ×１ｋｍ分辨率的ＮＯＡＡＡＶＨＲＲ数字影像，通过主分量分析和非监督分类，对中国植被进行了宏观分类。在多种基础图件的支持下，结合归一化植被指数（ＮＤＶＩ）年内季节变化规律，分出３５个植被类型，９个植被型组。通过重建不同植被类型ＮＤＶＩ特征值１０年的时间变化序列，划分出４个内部各类型ＮＤＶＩ变化过程具有相对一致性的区域（二级区域），明显的呈现从东南到西北的带状分布。再逐级归并，产生两个变化的一级区域。区域的界线基本与我国三大自然区域的东部季风区西北部的界线相吻合。进而从ＮＤＶＩ动态变化的角度进行了区划，包括２个一级区域，９个二级区域，进一步阐明了中国植被ＮＤＶＩ动态变化的区域差异。
Supported by the Remote Sensing,
Geographic Information System and Global Positioning System, using continuous time series of
NOAA/AVHRR Normalized Difference Vegetation Index (NDVI) digital image with spatial
resolution of 1 km×1 km as data resources, according to Principal Components Analyses and
unsupervised classification, Chinese vegetation was classified into 35 vegetation types and 9
groups, with the assistance of various basic maps and annual seasonal change of NDVI. By
reconstruction of the various processes of NDVI of various vegetation types during 10 years,
four regions, in which the changing process of NDVI of various internal types were relatively
consistent, were assigned. These four regions show obviously zonal distribution from
southeast to northwest. By estimating the correlation among NDVI changes, the four regions
were further integrated into two primary regions of higher order, with their regional boundary
tallied with the northwest border of the eastern monsoon region of the three natural regions in
China. Furthermore, regionalization was worked out on the NDVI changing perspective,
including two first class regions and nine second class regions.
基金
"九五"国家重大基础研究预选项目
国家自然科学基金
