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首页> 外文会议>International Conference on Geoinformatics amp; Geographical Systems Modeling and Beijing International Workshop in GIS; 20040402-04; Beijing(CN) >Defining Appropriate Spatial Resolution for Quantitative Remote Sensing: An Geostatistical Approach
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Defining Appropriate Spatial Resolution for Quantitative Remote Sensing: An Geostatistical Approach

机译：为定量遥感定义适当的空间分辨率：地统计方法

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摘要

Airborne and satellite remotely sensed data have been widely used in environment monitoring and resources management. With the development of new remote sensing systems, hyper-spectral and very-high spatial resolution images will soon provide a source for continuously sampling of the earth surface from local, regional and global scales. A considerable amount of previous research has been devoted to exploring the scale effect on image analysis. Instead of investigating on the scale effect, this paper will explore how to define an appropriate spatial resolution of remotely sensed data for a given study object in the scene. A geostatistical approach was presented which computing the variogram of the original fine resolution remote sensing data with the lag equal to the pixel size of the data. Experimental results of land surface radiometric temperature in Yucheng, Shandong Province, China showed consistent results with that of Atkinson's method (1997).
机译：机载和卫星遥感数据已广泛用于环境监测和资源管理。随着新的遥感系统的发展，高光谱和非常高的空间分辨率的图像将很快为从本地，区域和全球尺度连续采样地球表面提供一个来源。先前的大量研究致力于探索图像分析的比例效应。本文将探讨如何为场景中给定的研究对象定义遥感数据的适当空间分辨率，而不是研究尺度效应。提出了一种地统计学方法，该方法可以计算原始精细分辨率遥感数据的方差，其滞后时间等于数据的像素大小。中国山东省禹城市的地表辐射温度实验结果与阿特金森方法（1997年）的结果一致。

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