| 遥感及其地球表面时空多变要素的区域尺度转换 |
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| 引用本文： | 张仁华,孙晓敏,苏红波,唐新斋,朱治林.遥感及其地球表面时空多变要素的区域尺度转换[J].国土资源遥感,1999,10(3):51-58. |
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| 作者姓名： | 张仁华 孙晓敏 苏红波 唐新斋 朱治林 |
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| 作者单位： | 中国科学院地理研究所,北京,100101 |
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| 摘 要： | 阐明了遥感在获取时空多变要素中的作用和意义,同时利用遥感方法作出了空间变异较大的叶面积指数、地表温度和净辐射通量的区域分布。通过遥感方法与传统的区域表达方法的对比,讨论了传统的等值线方法及其区域要素计算和表达方法的不足,估算了利用空间差异较大的非均匀要素所作出的区域分布的可能误差。其步骤是： ①用遥感和生态网络观测数据相结合的方法作出几个要素的区域分布影像图; ②在影像图上标出单点生态站的观测数据; ③以图像处理的方法,作出不同范围的各种要素平均值和标准差; ④揭示单点站的观测数据和不同范围要素平均值的差异; ⑤分析用传统的等值线方法所作出的区域分布的可能误差。
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| 关 键 词： | 遥感 多变要素 尺度转换 |
| 收稿时间： | 1999-08-02 |
REMOTE SENSING AND SCALE TRANSFERING OF LEVITY PARAMETERS ON EARTH SURFACE |
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| Zhang Renhua,Sun Xiaomin,Su Hongbo,Tang Xinzhai,Zhu Zhilin.REMOTE SENSING AND SCALE TRANSFERING OF LEVITY PARAMETERS ON EARTH SURFACE[J].Remote Sensing for Land & Resources,1999,10(3):51-58. |
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| Authors: | Zhang Renhua Sun Xiaomin Su Hongbo Tang Xinzhai Zhu Zhilin |
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| Institution: | Institute of Geography, Chinese Academy of Sciences Beijing, 100101, China |
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| Abstract: | The purpose of the paper is to clarify scientific significance of the remote sensing for obtaining levity parameters in time and space on the earth surface. First of all, Several regional imageries of the levity parameters, such as leaf area index, ground surface temperature and the net radiation were made using remote sensing data and the ecosystem network data. Secondly, measurements at the ecological stations were indicated in the imageries. Thirdly, averages and deviations for several different scale areas were made by using imaging processing. Fourthly, differences between the measurements at points and averages in the areas were pointed out. Finally, analyses the possible error when using measurements at points to express regional distribution. The analyses indicated the traditional expression of the regional averages for the parameters using single point measurements error beget very big error for leaf area index . There the leaf area index has extreme inhomogeneous distribution in space. The ground surface temperature takes second place. Meantime limitation of the remote sensing was also discussed. Effective and feasible way which express regional distribution well is combination between remote sensing method and point measurements。 |
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| Keywords: | Remote sensing Levity parameters Scalling transfering |
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