干旱区生态环境知识资源中心(Arid): An integrated approach to reconstructing snow cover under clouds and cloud shadows on Sentinel-2 Time-Series images in a mountainous area

Arid

DOI	10.1016/j.jhydrol.2023.129264
	An integrated approach to reconstructing snow cover under clouds and cloud shadows on Sentinel-2 Time-Series images in a mountainous area
	Zhang, Yanli; Song, Yuyu; Ye, Changqing; Liu, Jingfeng
通讯作者	Zhang, YL
来源期刊	JOURNAL OF HYDROLOGY
ISSN	0022-1694
EISSN	1879-2707
出版年	2023
卷号	619
英文摘要	Snow is an important type of surface cover and an important freshwater resource in the arid regions of northwest China, and optical satellites are an important means for monitoring variation in snow cover. However, the ra-diation values measured by satellite sensors are affected by cloud cover and cloud shadows; thus, the recon-struction of snow cover under clouds and cloud shadows becomes a bottleneck problem especially in mountains areas. Based on the digital elevation model (DEM), in this paper, an integrated method of snow cover recon-struction on Sentinel-2 images is created by combining the improved SNOWL (snow line) algorithm considering unstable snow cover areas, Fmask cloud detection algorithms, and the Sen2Cor clear sky snow cover detection tool with a geospatial processing platform, GEE (Google Earth Engine). Considering the Babao River Basin as the study area, 474 Sentinel-2 scenes (10 m) were selected to obtain the snow cover spatiotemporal variations of 158 days from November 2016 to March 2021. Compared with the high-resolution GF-2 satellite images, the inte-grated method can extract snow under clouds and cloud shadows well, and the improved SNOWL algorithm improves the overall accuracy from 66.05 % to 84.26 %. The experimental results show that approximately half of the Babao River Basin is unstable snow cover, and areas above 3977 m are covered with snow for at least half a year.
英文关键词	Cloud detection Sen2Cor Fmask SNOWL algorithm Babao River Basin
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000992684200001
WOS关键词	HEIHE RIVER-BASIN ; ALGORITHM ; MODIS ; VARIABILITY ; VALIDATION
WOS类目	Engineering, Civil ; Geosciences, Multidisciplinary ; Water Resources
WOS研究方向	Engineering ; Geology ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/397391
推荐引用方式 GB/T 7714	Zhang, Yanli,Song, Yuyu,Ye, Changqing,et al. An integrated approach to reconstructing snow cover under clouds and cloud shadows on Sentinel-2 Time-Series images in a mountainous area[J],2023,619.
APA	Zhang, Yanli,Song, Yuyu,Ye, Changqing,&Liu, Jingfeng.(2023).An integrated approach to reconstructing snow cover under clouds and cloud shadows on Sentinel-2 Time-Series images in a mountainous area.JOURNAL OF HYDROLOGY,619.
MLA	Zhang, Yanli,et al."An integrated approach to reconstructing snow cover under clouds and cloud shadows on Sentinel-2 Time-Series images in a mountainous area".JOURNAL OF HYDROLOGY 619(2023).