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首页> 外文期刊>Journal of Forest Planning >Topographic Correction Effect on Sugi (Cryptomeria japonica D.Don) Stand Volume Estimation using Multi Temporal Landsat TM and ASTER Satellite Images in Mountainous Tsugawa Region, Niigata Prefecture
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Topographic Correction Effect on Sugi (Cryptomeria japonica D.Don) Stand Volume Estimation using Multi Temporal Landsat TM and ASTER Satellite Images in Mountainous Tsugawa Region, Niigata Prefecture

机译：新泻县津川地区多时态Landsat TM和ASTER卫星影像对杉杉林分蓄积量的地形校正效应

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摘要

Five images of Landsat Thematic Mapper (TM) and one image of ASTER data at different years were taken to determine the topographic correction effects in the mountainous area in Tsugawa region, Niigata. An automatic scattergram-controlled regression approach was applied for radiometric normalization correction using sequence images obtained using the Landsat TM. The forest was classified as either a deciduous, low-middle volume sugi or high volume sugi forest based on its characteristics and volume byseparability analysis. We examined four topographic correction methods to reduce the slope-aspect effect in each forest class compared. In order to elucidate the effect of the applied correction method, we also analyzed the correlation between the digital number and ground measurement. The results showed that the specific forest class type should be considered as input when applying a topographic correction method in satellite images analysis. The two-stage topographic normalization proposed by Crvco (1989) and statistic-empirical methods appeared to be the best for statistical analyses but were unsuccessful regarding actual correlation for analysis of sugi stand volume. The results indicated that, the C-correction for visible bands and MINNAERT correction methods for infrared band are adequate methods for improving the correlation accuracy between derived digital number and sugi stand volume in the Tsugawa region.
机译：拍摄了5张Landsat Thematic Mapper（TM）图像和1张ASTER数据在不同年份的图像，以确定新泻县津川地区山区的地形校正效果。使用由Landsat TM获得的序列图像，将自动散点图控制的回归方法应用于辐射归一化校正。根据森林的特征和数量，通过可分离性分析，该森林被分为落叶，中低产量杉或高产量杉林。我们研究了四种地形校正方法，以减少每种森林类别中的坡度影响。为了阐明应用校正方法的效果，我们还分析了数字和地面测量值之间的相关性。结果表明，在卫星图像分析中应用地形校正方法时，应考虑将特定的森林类别类型作为输入。 Crvco（1989）提出的两阶段地形归一化和统计经验方法似乎是进行统计分析的最佳方法，但在对sugi林分体积进行分析的实际相关性方面却不成功。结果表明，对可见带的C校正和对红外带的MINNAERT校正方法是提高津川地区推导数字数量与sugi林分体积之间相关准确度的适当方法。

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