Gap-Filling of MODIS Fractional Snow Cover Products via Non-Local Spatio-Temporal Filtering Based on Machine Learning Techniques
Gap-Filling of MODIS Fractional Snow Cover Products via Non-Local Spatio-Temporal Filtering Based on Machine Learning Techniques
复制标题
基于机器学习技术的非局部时空过滤 MODIS 分数积雪产品的间隙填充
DOI：
10.3390/rs11010090
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发表时间：
2019-01
期刊：
影响因子：
5
通讯作者：
Gu Juan
中科院分区：
文献类型：
--
作者：
Hou Jinliang;Huang Chunlin;Zhang Ying;Guo Jifu;Gu Juan
云层遮蔽在MODIS雪盖产品中留下了巨大的空白。在这项研究中，提出了一种基于非局部时空滤波(NSTF)概念的云隙填充方法，用于重建MODIS分数雪盖(SCF)产品中的云隙。通过自动机器学习技术，使用图像剩余已知部分中适当的相似像素来估计间隙像素的地面信息。本文以2001年至2016年北疆地区MODIS SCF产品云缺口填充数据为例，中国。结果表明，该方法可以生成几乎连续的时空每日MODIS SCF图像，平均只留下0.52%的长期云隙。基于“云假设”的验证结果具有较高的精度，R2大于0.8，RMSE为0.1，高估误差为1.13%，低估误差为1.4%，空间效率(SPAEF)为0.78。基于50个现场积雪深度观测的验证表明，该方法在精度和一致性方面具有优越性。总体准确率为93.72%。在晴空条件下，平均遗漏和委托误差比原来的MODIS SCF产品增加了约1.16%和0.53%。
Cloud obscuration leaves significant gaps in MODIS snow cover products. In this study, an innovative gap-filling method based on the concept of non-local spatio-temporal filtering (NSTF) is proposed to reconstruct the cloud gaps in MODIS fractional snow cover (SCF) products. The ground information of a gap pixel was estimated by using the appropriate similar pixels in the remaining known part of an image via an automatic machine learning technique. We take the MODIS SCF product cloud gap filling data from 2001 to 2016 in Northern Xinjiang, China as an example. The results demonstrate that the methodology can generate almost continuous spatio-temporal, daily MODIS SCF images, and it leaves only 0.52% of cloud gaps long-term, on average. The validation results based on “cloud assumption” exhibit high accuracy, with a higher R 2 exceeding 0.8, a lower RMSE of 0.1, an overestimated error of 1.13%, an underestimated error of 1.4%, and a spatial efficiency (SPAEF) of 0.78. The validation based on 50 in situ snow depth observations demonstrates the superiority of the methodology in terms of accuracy and consistency. The overall accuracy is 93.72%. The average omission and commission error have increased approximately 1.16 and 0.53% compared with the original MODIS SCF products under a clear sky term.
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影响因子：
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影响因子：
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