A Conditional Probability Interpolation Method Based on a Space-Time Cube for MODIS Snow Cover Products Gap Filling
A Conditional Probability Interpolation Method Based on a Space-Time Cube for MODIS Snow Cover Products Gap Filling
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MODIS积雪产品间隙填充的基于时空立方体的条件概率插值方法
DOI：
10.3390/rs12213577
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发表时间：
2020-10
期刊：
影响因子：
5
通讯作者：
Hao Xiaohua
中科院分区：
文献类型：
--
作者：
Chen Siyong;Wang Xiaoyan;Guo Hui;Xie Peiyao;Wang Jian;Hao Xiaohua
季节性积雪与区域气候和水文过程密切相关。本研究利用中分辨率成像光谱仪（MODIS）2001年至2018年的日积雪产品来分析中国北疆的积雪变化。由于云遮挡导致二元积雪范围（SCE）出现显着的时空不连续性，我们提出了一种基于时空立方体（STCPI）的条件概率插值方法，在结合 Terra 和 Aqua 数据后完全去除云。首先，统计5×5×5的时空立方体中，中心像素和每个相邻像素具有相同雪况的条件概率。然后根据时空立方体计算云像素重分类为雪的概率。最后，可以通过下雪概率来恢复云像素的下雪情况。云假设的验证实验表明，STCPI能够完全去除云，并且在不同云比例下总体准确率达到97.44%。生成的每日无云MODIS SCE产品与Landsat-8 OLI影像吻合度较高，总体准确率为90.34%。基于积雪面积（SCA）和积雪日数（SCD）调查了2001年至2018年中国北疆的积雪变化。结果表明，随着海拔的升高，SCA的年际变化逐渐减小，SCD与海拔呈正相关。此外，SCD的年际变化表明，18年来增加的面积大于减少的面积。
Seasonal snow cover is closely related to regional climate and hydrological processes. In this study, Moderate Resolution Imaging Spectroradiometer (MODIS) daily snow cover products from 2001 to 2018 were applied to analyze the snow cover variation in northern Xinjiang, China. As cloud obscuration causes significant spatiotemporal discontinuities in the binary snow cover extent (SCE), we propose a conditional probability interpolation method based on a space-time cube (STCPI) to remove clouds completely after combining Terra and Aqua data. First, the conditional probability that the central pixel and every neighboring pixel in a space-time cube of 5 × 5 × 5 with the same snow condition is counted. Then the snow probability of the cloud pixels reclassified as snow is calculated based on the space-time cube. Finally, the snow condition of the cloud pixels can be recovered by snow probability. The validation experiments with the cloud assumption indicate that STCPI can remove clouds completely and achieve an overall accuracy of 97.44% under different cloud fractions. The generated daily cloud-free MODIS SCE products have a high agreement with the Landsat–8 OLI image, for which the overall accuracy is 90.34%. The snow cover variation in northern Xinjiang, China, from 2001 to 2018 was investigated based on the snow cover area (SCA) and snow cover days (SCD). The results show that the interannual change of SCA gradually decreases as the elevation increases, and the SCD and elevation have a positive correlation. Furthermore, the interannual SCD variation shows that the area of increase is higher than that of decrease during the 18 years.
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DOI：
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发表时间：
2014
期刊：
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影响因子：
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作者：
E. Rimkus;J. Kažys;Sigita Butkutė;Indrė Gečaitė
通讯作者：
E. Rimkus;J. Kažys;Sigita Butkutė;Indrė Gečaitė
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DOI：
10.1109/jstars.2018.2810094
发表时间：
2018
影响因子：
5.5
作者：
Wang Xiaoyan;Wang Jian;Che Tao;Huang Xiaodong;Hao Xiaohua;Li Hongyi
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Li Hongyi
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影响因子：
5
作者：
Hou Jinliang;Huang Chunlin;Zhang Ying;Guo Jifu;Gu Juan
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Gu Juan
影响因子：
6.4
作者：
Yang Gao;H. Xie;Ning Lu;T. Yao;Tiangang Liang
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Yang Gao;H. Xie;Ning Lu;T. Yao;Tiangang Liang
影响因子：
5.4
作者：
J. Parajka;Günter Blöschl
通讯作者：
J. Parajka;Günter Blöschl