基于GF-4遥感数据的叶绿素浓度反演算法研究*

doi:10.11978/2017008

Abstract

Abstract:

Gaofeng-4 products have become available since June 2016. GF-4 is the first geosynchronous orbit remote sensing satellite in China. The virtue of the satellite is its high spatial and temporal resolution. So, the satellite is useful for monitoring marine disasters. In this study, we established a model to retrieve the chlorophyll concentration from GF-4 satellite data based on the in situ measured data on 22th October 2009 (the coefficient of determination r²=0.90; root mean square error RMSE=0.1). The algorithm has been shown to have a relatively better applicability by comparing the result with Hydrolight (r²=0.92; RMSE=0.23). The model was further applied to analyze the harmful algal bloom in Guangxi in May 2016 by using GF-4 satellite data. The result showed a good agreement with the in situ survey data. This is the first time to retrieve chlorophyll concentration from the remote sensing reflectance, including the harmful algal bloom waters in Guangxi by using GF-4 products. The research can provide an effective technique for constructing marine civilization and marine disaster investigation.

Key words: harmful algal bloom, reflection peak value, Pearl River, Guangxi

Chaoyu YANG, Danling TANG, Haibin YE. A study on retrieving chlorophyll concentration by using GF-4 data[J].Journal of Tropical Oceanography, 2017, 36(5): 33-39.

Figures/Tables 6

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References 14

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	传感器波段
	波段1	波段2	波段3	波段4	波段5
积分模式(2-6-4-6-6)增益	0.5215	0.9400	0.9885	0.7847	0.5641
积分模式(4-16-12-16-16)增益	0.3100	0.3484	0.3448	0.3095	0.2257
积分模式(6-20-16-20-20)增益	0.1681	0.3263	0.2472	0.2806	0.1997
积分模式(6-40-30-40-40)增益	0.1681	0.1252	0.1226	0.1102	0.0796
积分模式(8-30-20-30-30)增益	0.1235	0.1784	0.1878	0.1515	0.1080
大气顶层太阳辐照度/(W•m^-2•sr^-1•μm^-1)	1595.08	1907.88	1815.42	1580.18	1098.79

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A study on retrieving chlorophyll concentration by using GF-4 data

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