太阳成8722(中国)有限公司-GREEN NO.1

标题: A Two-Stage Fusion Framework to Generate a Spatio-Temporally Continuous MODIS NDSI Product over the Tibetan Plateau

作者: Jing, YH (Jing, Yinghong); Shen, HF (Shen, Huanfeng); Li, XH (Li, Xinghua); Guan, XB (Guan, Xiaobin)

来源出版物: REMOTE SENSING  卷: 11  期: 19  DOI: 10.3390/rs11192261  出版年: OCT 2019  

摘要: The Tibetan Plateau (TP) is an important component of the global environmental system, on which the snow cover greatly affects the regional climate and ecology. Moderate resolution imaging spectroradiometer (MODIS) snow cover products have been demonstrated to be appropriate for investigating the snow cover over the TP. However, they are subject to cloud obscuration, and the TP's extremely complex terrain makes the snow monitoring difficult. Therefore, in this paper, we propose a two-stage spatio-temporal fusion framework for the cloud removal of MODIS C6 snow products, including an adjusted Terra and Aqua combination (TAC) and a spatio-temporal fusion based on Gaussian kernel function and error correction (STF-GKF-EC). To the best of our knowledge, this is the first time that a spatio-temporally continuous daily 500-m MODIS normalized difference snow index (NDSI) product has been generated for the TP, which greatly improves the spatial and temporal resolutions of the current snow cover products. The main stage, STF-GKF-EC, adaptively weights the spatial and temporal correlations by the Gaussian kernel function, and further takes the rapid changes of snow cover into consideration through the error correction. The experiments indicated that STF-GKF-EC removes clouds completely, achieving an overall accuracy (OA) and mean absolute error (MAE) of 91.48% and 3.88, respectively. Based on the cloud-removed results, during 2001-2017, as far as the intra-annual variation is concerned, a large proportion of the snow cover appears between October and May, with a peak in February/March, and the variation is mainly controlled by temperature. For the inter-annual variation, an obvious increasing trend of 0.68/year for NDSI is observed before 2005, followed by a slight decreasing trend of 0.16/year, in which precipitation is a better explanation factor than temperature.

入藏号: WOS:000496827100075

语言: English

文献类型: Article

作者关键词: snow cover variability; MODIS NDSI; spatio-temporal fusion method; Gaussian kernel function; Tibetan Plateau

地址: [Jing, Yinghong; Shen, Huanfeng; Guan, Xiaobin] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Hubei, Peoples R China.

[Li, Xinghua] Wuhan Univ, Sch Remote Sensing & Informat Engn, Wuhan 430079, Hubei, Peoples R China.

通讯作者地址: Li, XH (通讯作者)，Wuhan Univ, Sch Remote Sensing & Informat Engn, Wuhan 430079, Hubei, Peoples R China.

电子邮件地址: 2017202050086@whu.edu.cn; shenhf@whu.edu.cn; lixinghua5540@whu.edu.cn; guanxb@whu.edu.cn

影响因子：4.118