植被指数与地面温度是描述土地覆盖特征的重要参数 ,对两种数据的综合分析 ,可以衍生出更丰富、更清晰的地表信息 ,有助于更加准确、有效地认知土地覆盖 /土地利用的时空变化规律。本文探讨了植被指数与地面温度构成的二维向量空间的物理意义与生态学内涵 ,以基于 NOAA AVHRR的时间序列数据为本底 ,分析了不同土地覆盖类型在该特征空间上的时序变化规律 ,并以黄淮海地区主要农作物冬小麦为例 ,研究了植被指数-地面温度指标与干旱、半干旱地区农作物产量之间的响应关系。
Studies on character and variation of land cover/land use become more and more important in geographical and ecological research. Vegetation index and surface temperature are important parameters to describe characters of land covers. More useful information will be created by integrated analyses of these two kinds of data together, which will help us to find out main principles of the temporal and spatial variation of land cover/land use. The paper focused on physical connotation and ecological meaning of the vegetation index-surface temperature feature space, analyzed temporal variation of different type of land covers in this feature space using NOAA AVHRR remote sensing data, and did much site work on relationship between water index and winter wheat yield in the Huang Huaihai campagna. Following views have been set forth and tested based on these data: (1) Large area and long time serials land surface parameters could be retrieved from remote sensed information; (2) Different types of land covers have different characters in the vegetation index-surface temperature feature space; (3) Water index, derived from vegetation index and surface temperature, is turned out to be a good indicate of growing situation of crops.
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