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The effect of scale and snow fragmentation on the accuracy of fractional snow cover data over the Tibetan Plateau

机译:规模和积雪碎片对青藏高原部分积雪数据精度的影响

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Three MODIS-based fractional snow cover data are evaluated over the Tibetan Plateau from May, 2013 to April, 2015 with Landsat8/OLI data, including MOD10A1 in MODIS snow products collection 6[1, 2], along with MODSCAG[3] and MODAGE[4] fractional snow cover data which were retrieved based on linear spectral mixture analysis algorithm. The significant difference between MODSCAG and MODAGE is the endmember selection approach. This study compared these three products against the `true value' derived from Landsat-8/OLI. Forests, grass and soil region were chosen to carry out the evaluation, as well as the Himalaya Mountain due to its acute topographic heterogeneity. We applied both binary and fractional metrics to evaluate all three of them with the spatial resolution increasing from 500m to 1km, 2km and 5km. We also quantitatively depict the patchiness of snow cover under diverse spatial resolutions in order to analyze the effect of snow patchiness to the accuracy of algorithms under different spatial scales.
机译:2013年5月至2015年4月,利用Landsat8 / OLI数据对青藏高原上基于MODIS的三部分积雪数据进行了评估,包括MODIS雪产品集合6 [1、2]中的MOD10A1,MODSCAG [3]和MODAGE [4]基于线性光谱混合分析算法检索的部分积雪数据。 MODSCAG和MODAGE之间的显着区别是端成员选择方法。这项研究将这三种产品与Landsat-8 / OLI的“真实价值”进行了比较。选择森林,草木和土壤区域进行评估,以及喜马拉雅山因其剧烈的地形异质性而进行评估。我们应用了二进制和分数度量来评估这三个度量,其空间分辨率从500m分别增加到1km,2km和5km。我们还定量描述了不同空间分辨率下的积雪斑块,以分析​​积雪对不同空间尺度下算法准确性的影响。

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