气候变化领域集成服务门户(CCPortal): Detection of shadows in high spatial resolution ocean satellite data using DINEOF

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DOI	10.1016/j.rse.2020.112229
	Detection of shadows in high spatial resolution ocean satellite data using DINEOF
	Alvera-Azcárate A.; Van der Zande D.; Barth A.; Cardoso dos Santos J.F.; Troupin C.; Beckers J.-M.
发表日期	2021
ISSN	00344257
卷号	253
英文摘要	Cloud shadows present in high spatial resolution remote sensing datasets can affect the quality of the data if they are not properly detected and removed. When working with ocean data, cloud shadows are often difficult to differentiate from non-shadow values, since they show similar spectral characteristics than water pixels. A methodology to detect cloud shadows over the ocean is proposed. The present approach combines a series of tests applied directly to the physical variables derived from the satellite measured radiances, and it therefore does not depend on the wavebands measured by a specific satellite sensor. The tests include a departure from an EOF basis calculated using DINEOF, a threshold test, a proximity to cloud test and a ray tracing test. The weighing of the different tests can be adapted to each case or domain of study. The results are compared to manually detected shadows and to another shadow detection method. The approach works with cloud shadows of all sizes, and also with very small objects shadows, like the shadows projected by offshore windmills. © 2020 The Author(s)
语种	英语
scopus关键词	Image resolution; Machinery; Offshore oil well production; Remote sensing; Satellites; Wind power; High spatial resolution; Physical variables; Satellite data; Satellite sensors; Shadow detections; Small objects; Spectral characteristics; Tracing tests; Testing; detection method; pixel; ray tracing; remote sensing; satellite data; spatial resolution; threshold; Allionia
来源期刊	Remote Sensing of Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/179006
作者单位	AGO-GHER, University of Liège Allée du Six Aout, 17, Sart Tilman, Liège, 4000, Belgium; Royal Belgian Institute of Natural Sciences (RBINS), Direction Natural Environment Rue Vautier 29, Brussels, 1000, Belgium
推荐引用方式 GB/T 7714	Alvera-Azcárate A.,Van der Zande D.,Barth A.,et al. Detection of shadows in high spatial resolution ocean satellite data using DINEOF[J],2021,253.
APA	Alvera-Azcárate A.,Van der Zande D.,Barth A.,Cardoso dos Santos J.F.,Troupin C.,&Beckers J.-M..(2021).Detection of shadows in high spatial resolution ocean satellite data using DINEOF.Remote Sensing of Environment,253.
MLA	Alvera-Azcárate A.,et al."Detection of shadows in high spatial resolution ocean satellite data using DINEOF".Remote Sensing of Environment 253(2021).