气候变化领域集成服务门户(CCPortal): The operational method of filling information gaps in satellite imagery using numerical models

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DOI	10.1016/j.jag.2018.09.002
	The operational method of filling information gaps in satellite imagery using numerical models
	Konik M.; Kowalewski M.; Bradtke K.; Darecki M.
发表日期	2019
ISSN	15698432
起始页码	68
结束页码	82
卷号	75
英文摘要	Occurrence of cloud cover over remotely sensed area is a significant limitation in the ocean colour and infra-red remote sensing applications, especially when operational use of such a data is considered. A method for the reconstruction of missing data in remote sensing images has been proposed. It is based on complementing satellite data with the corresponding information from other sources of data, in our tested case it was the ecohydrodynamic model. The method solves the problem the presence of a cloud cover also during an extended period. Unlike in many other similar methods, emphasis has been put on retaining remotely sensed information to a high degree and preserving local phenomena that are usually difficult to capture by other methods than satellite remote sensing. The method has been tested on the Baltic Sea. Sea surface temperature and chlorophyll a concentration estimated from satellite data, ecohydrodynamic models and merged product were compared with in situ data. The algorithm was optimized for the two parameters that are crucial for e.g. creating algae bloom forecasts. The root mean square error (RMSE) of the final product of sea surface temperature was 0.73 °C, whereas of the input satellite images 1.26 °C or 1.33 °C and of model maps 0.89 °C. The error factor of chlorophyll a concentration product was 1.8 mg m −3 , in comparison to 2.55 mg m −3 for satellite input source and 2.28 mg m −3 for the model one. The results show that the proposed method well utilizes advantages of both satellite and numerical simulation data sources, at the same time reducing the errors of estimation of merged parameters compared to similar errors for both primary sources. It would be a valuable component of fuzzy logic and rule-based HABs prediction. © 2018
英文关键词	Chlorophyll a; Ecohydrodynamic models; Fusion; Hydrodynamic models; Remote sensing; SST; Synergy
语种	英语
scopus关键词	algorithm; chlorophyll a; cloud cover; concentration (composition); hydrodynamics; numerical model; remote sensing; satellite imagery; sea surface temperature; Atlantic Ocean; Baltic Sea; algae
来源期刊	International Journal of Applied Earth Observation and Geoinformation
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/156537
作者单位	The Institute of Oceanology of the Polish Academy of Sciences, Powstańców Warszawy 55, Sopot, Poland; Institute of Oceanography, University of Gdańsk, Marszałka Piłsudskiego 46, Gdynia, Poland
推荐引用方式 GB/T 7714	Konik M.,Kowalewski M.,Bradtke K.,et al. The operational method of filling information gaps in satellite imagery using numerical models[J],2019,75.
APA	Konik M.,Kowalewski M.,Bradtke K.,&Darecki M..(2019).The operational method of filling information gaps in satellite imagery using numerical models.International Journal of Applied Earth Observation and Geoinformation,75.
MLA	Konik M.,et al."The operational method of filling information gaps in satellite imagery using numerical models".International Journal of Applied Earth Observation and Geoinformation 75(2019).