Analyzing Remote Sensing Data in R: The landsat Package
Analyzing Remote Sensing Data in R: The landsat Package
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DOI：
10.18637/jss.v043.i04
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发表时间：
2011-07
影响因子：
5.8
通讯作者：
S. Goslee
中科院分区：
文献类型：
--
作者：
S. Goslee
对大地卫星图像等多谱段卫星数据的大气和地形校正方法的研究和开发远远超过了地理信息系统软件中这些方法的可用性。随着大地卫星和其他数据越来越广泛地提供，对这些改进的校正方法的需求将增加。开源R统计软件可以帮助弥合研究和实施之间的差距。复杂的空间数据例程已经可用，并且R中程序开发的简单性使得实现新的校正算法和评估结果变得简单。将辐射、大气和地形校正例行程序收集到陆地卫星软件包中，将使它们随时可用于特定应用的评估。
Research and development on atmospheric and topographic correction methods for multispectral satellite data such as Landsat images has far outpaced the availability of those methods in geographic information systems software. As Landsat and other data become more widely available, demand for these improved correction methods will increase. Open source R statistical software can help bridge the gap between research and implementation. Sophisticated spatial data routines are already available, and the ease of program development in R makes it straightforward to implement new correction algorithms and to assess the results. Collecting radiometric, atmospheric, and topographic correction routines into the landsat package will make them readily available for evaluation for particular applications.