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在农业遥感的研究和应用中,了解各种植物的物候历,是选择卫星发射和遥测的时间,进行目视判读和计算机解译必不可少的基础资料。根据1980年在全国上千个县进行的物候历调查资料,整理成本文。一、物候历在遥感目视判读中的作用当前在资源与环境遥感中常使用气象卫星和陆地卫星的像片,经图像处理得到的植被指数图,可看出植被的分布。在陆地卫星单波段卫片上,可根据绿色植物对不同波段的光谱反射不同识别各种植物。在合成的假彩色卫片上,绿色植物区呈红色,根据红色的深浅和其他特征可区分林、草和田间作物的大致长势。要确切区分植物及其发育期、物候期、长势、产量就比较困难了。物候历可提供植物的背景资料,能大大方便遥感图像的目视判读。美国的大面积农作物估产,实际上是根据农事历和物候历,在多波段卫星像片上区分小麦从幼苗到开
In the research and application of agricultural remote sensing, understanding the phenological calendar of various plants is the essential data for selecting the time of satellite launch and telemetry, and for making visual interpretation and computer interpretation. Based on the phenological survey data conducted in 1980 in thousands of counties across the country, the text of the cost was collated. I. The role of phenological calendar in visual interpretation of remote sensing Currently, the images of meteorological satellites and terrestrial satellites are often used in remote sensing of resources and the environment. The vegetation index maps obtained by image processing can be used to show the distribution of vegetation. In the satellite single-band satellite patch, different plants can be identified according to the spectral reflectance of the green plants to different bands. On synthetic false color patches, the green plant area is red, and the general growth of the forest, grass and field crops can be differentiated based on the red shade and other characteristics. To the exact distinction between plants and their developmental period, phenology, growth, yield more difficult. Phenology provides plant background information, which can greatly facilitate the visual interpretation of remote sensing images. The large-scale crop production in the United States is actually based on the agricultural calendar and the phenological calendar, in the multi-band satellite image to distinguish wheat from seedling to open