首页> 外文会议>Geoscience and Remote Sensing Symposium, 2007 IEEE International >Using lacunarity index and wavelet analysis to characterize scale-dependent landscape heterogeneity of Hotan Oasis in China
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Using lacunarity index and wavelet analysis to characterize scale-dependent landscape heterogeneity of Hotan Oasis in China

机译:利用盲度指数和小波分析表征和田绿洲尺度相关的景观异质性

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Spatial heterogeneity with scale multiplicity inherent is the most fundamental characteristic of all landscapes, thus multi-scale analysis is imperative for understanding the structure, function and dynamics of landscapes. Lacunarity index and wavelet analysis were employed in this study to determine landscape heterogeneity and multi-scale spatial patterns of Hotan Oasis by using RS and GIS techniques. Spatially distributed scale-dependent regularities of land cover types across a range of patch sizes were revealed by changes of lacunarity curves and wavelet variance. The analysis on oasis landscape and zigzag transect showed that lacunarity index exhaustively sampled oasis landscape to quantify its contagion and self-similarity in multiple scales, and Mexican-hat wavelet transformation accurately matched the variance peak and pinpointed the characteristic scale of oasis landscape pattern. Distribution feature and spatial heterogeneity of Hotan Oasis, as well as density of each land cover type, were analyzed in multi-scale and explicitly exhibited. The results prove that lacunarity index and wavelet function are complementary in oasis land use pattern analysis and quite effective to quantify the scale-dependent spatial heterogeneity, finally contribute to the discovery of the relationship between pattern and process of oasis-desert landscape.
机译:具有尺度多重性的空间异质性是所有景观的最基本特征,因此多尺度分析对于理解景观的结构,功能和动力学势在必行。本研究利用遥感指数和小波分析,通过RS和GIS技术确定和田绿洲的景观异质性和多尺度空间格局。稀疏性曲线和小波方差的变化揭示了一系列斑块大小上土地覆盖类型的空间分布与比例有关的规律性。通过对绿洲景观和锯齿形样带的分析表明,盲点指数详尽地采样了绿洲景观,以量化其在多个尺度上的传染性和自相似性,而墨西哥帽小波变换则精确地匹配了方差峰值并指出了绿洲景观格局的特征尺度。对和田绿洲的分布特征,空间异质性以及每种土地覆盖类型的密度进行了多尺度分析,并明确展现出来。结果表明,荒漠度指数和小波函数在绿洲土地利用格局分析中是互补的,对量化尺度相关的空间异质性非常有效,最终有助于发现绿洲—荒漠景观的格局与过程之间的关系。

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