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首页> 外文期刊>CERNE >IMPACT OF TOPOGRAPHIC CORRECTION ON SOIL AND VEGETATION COVER SPECTRAL CHARACTERIZATION BY TM/LANDSAT 5 IMAGERY
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IMPACT OF TOPOGRAPHIC CORRECTION ON SOIL AND VEGETATION COVER SPECTRAL CHARACTERIZATION BY TM/LANDSAT 5 IMAGERY

机译:TM / Landsat 5图像的地形校正地形校正对土壤和植被覆盖光谱特性的影响

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Several topographic correction methods have been developed to be applied to orbital imagery. The main objective of these initiatives has been focused on improving land cover mapping. Despite of some discussions that include spectral approaches, no attention has been given to the impact of such correction on the spectral characterization of different targets. That impact can influence relationships commonly explored between radiometric data from orbital imagery and biophysical and/or geophysical parameters. TM/Landsat 5 images (orbit 218, row 76) from a mountainous region located between S?£o Paulo, Minas Gerais and Rio de Janeiro states (Brazil) were converted to surface reflectance values. Two topographic correction methods considering different sampling strategies were applied. The local illumination was taking into account during the result analysis in order to evaluate the selective effect of the topographic correction on the spectral characterization of bare soils and vegetated surfaces. The results indicated that the sampling strategy influences both the visual aspect of the topographic corrected images and the spectral characterization of targets. Spectral distortions caused by the topographic correction procedures were higher at darker illumination conditions. The topographic correction is a procedure that deserves attention when exploring spectral characterization of different targets. Sometimes it contributes positively in qualitative approaches such as mapping or digital classification, but it can imply in severe influence on quantitative approaches that are dependent on the targets spectral characterization.
机译:已经开发了几种地形校正方法以应用于轨道图像。这些举措的主要目标是重点介绍改善陆地覆盖映射。尽管有一些包括光谱方法的讨论,但没有注意这种校正对不同靶标的光谱表征的影响。这种影响可以影响来自轨道图像和生物物理和/或地球物理参数的辐射数据之间常见的关系。来自位于S?£o Paulo,Minas Gerais和Rio de Janeiro状态(巴西)的山区的TM / Landsat 5图像(轨道218,行76)被转换为表面反射值。考虑不同的抽样策略的两个地形校正方法是应用的。在结果分析期间考虑到局部照明,以评估地形校正对裸土和植被表面的光谱表征的选择性效果。结果表明采样策略影响地形校正图像的视觉方面和目标的光谱表征。由地形校正程序引起的光谱扭曲在较暗的照明条件下更高。地形校正是在探索不同目标的光谱表征时值得关注的过程。有时它在定性的方法如映射或数字分类等定性方法中有贡献,但它可能暗示对取决于目标光谱表征的定量方法的严重影响。

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  • 来源
    《CERNE》 |2016年第3期|共页
  • 作者

    Flávio Jorge Ponzoni;

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