Ocean Chlorophyll-a Derived from Satellite Data with Its Application to Red Tide Monitoring

Zhang Chungui; Zeng Yindong; Zhang Xing; Pan Weihua; Lin Jing

Vol.18, NO.6, 2007

Article Contents

Article Navigation > Journal of Applied Meteorological Science > 2007 > 18(6): 821-831

Zhang Chungui, Zeng Yindong, Zhang Xing, et al. Ocean chlorophyll-a derived from satellite data with its application to red tide monitoring. J Appl Meteor Sci, 2007, 18(6): 821-831.

Citation:

Zhang Chungui, Zeng Yindong, Zhang Xing, et al. Ocean chlorophyll-a derived from satellite data with its application to red tide monitoring. J Appl Meteor Sci, 2007, 18(6): 821-831.

Zhang Chungui, Zeng Yindong, Zhang Xing, et al. Ocean chlorophyll-a derived from satellite data with its application to red tide monitoring. J Appl Meteor Sci, 2007, 18(6): 821-831.

Citation:

Zhang Chungui, Zeng Yindong, Zhang Xing, et al. Ocean chlorophyll-a derived from satellite data with its application to red tide monitoring. J Appl Meteor Sci, 2007, 18(6): 821-831.

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Ocean Chlorophyll-a Derived from Satellite Data with Its Application to Red Tide Monitoring

1.
Fujian Provincal Meteorological Institute, Fuzhou 350001
2.
Monitoring Center for Marine Environment and Fishery Resources , Fuzhou 350003
3.
Fujian Provincial Meteorological Bureau , Fuzhou 350001

Received Date: 2007-02-28
Rev Recd Date: 2007-09-10
Publish Date: 2007-12-31

Abstract

Abstract

The signal-to-noise ratio of ocean color channels of MODIS sensor is higher than SeaWiFS sensor and the bandwidth is narrower than SeaWiFS, thus MODIS data are more suitable for the retrieval of chlorophyll-a in ocean. Many standard empirical algorithms and semi-analytical algorithms are supplied to calculate ocean chlorophyll-a by the SeaDAS software which is distributed from NASA. Considering the characteristic of MODIS sensor, the two standard empirical algorithms SeaDAS OC2 and OC3, two semi-analytical algorithms SeaDAS Clark and NSMC-CASE2 are used to calculate ocean chlorophyll-a based on MODIS data, the correlation of MODIS chlorophyll-a and ten stations measured chlorophyll-a is analyzed in Fujian coastal red tide monitoring region in 2004. The statistic result of MODIS chlorophyll-a and ten stations measured chlorophyll-a shows that the correlation index of OC2 standard empirical algorithms is 0.787, and OC3 is 0.839, and Clark semi-analytical algorithms is 0.510, and CASE2 is only 0.133. Although the ocean chlorophyll-a calculated by SeaDAS based on MODIS data is high compared with the chlorophyll-a measured in locale, the chlorophy ll-a variational curve of SeaDAS OC2 and OC3 and Clark is similar to the chlorophyll-a variational curve measured in locale. However, the chlorophyll-a counted by CASE2 semi-analytical algorithms is much higher than the chlorophyll-a measured in locale, and the chlorophyll-a variational curve of CASE2 is very much different to the chlorophyll-a variational curve measured in locale. The red tide occurring in Fujian coastal region at one time with the MODIS chlorophyll-a during 2002—2005 is analyzed also, and the possibility of monitoring red tide based on 250 m and 500 m resolution ratio MODIS visible light data is discussed. The ratio of MODIS red (250 m)and green (500 m) channel obviously changes in the whole course of red tide disaster, the ratio is much higher when the red tide disaster occurs than before and after the red tide disaster occurs. The results show that there is inconsistence high estimate for chlorophyll-a derived from two standard empirical algorithms and two semi-analytical algorithms. On the opposite, SeaDAS OC3 standard empirical algorithms are suitable to calculate ocean chlorophylla in Fujian coastal region based on MODIS data. On the basis of accumulating the chlorophyll-a data measured in locale, the relevant inversion mode for quantitative monitor of remote sensing data of chlorophyll-a on Fujian coastal water will be established with the 250 m and 500 m resolution ratio of MODIS visible light data, and atmospheric correction process will be carried out in MODIS data, thus it is possible that the change of chlorophyll-a on Fujian coastal water will be accurately predicted .
- remote sensing;
- red tide;
- chlorophyll-a;
- MODIS data

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References(26)

Figures and Tables

图 1 福建省赤潮监控区内10个观测站点分布图

Fig. 1 The map of ten observation stations of red tide in Fujian

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图 2 现场采集与MODIS数据反演叶绿素a浓度相关分析结果

Fig. 2 The result of correlation analyse of measured C_Chla and calculated C_Chla base on MODIS data

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图 3 现场采集与MODIS数据反演叶绿素a浓度变化曲线

Fig. 3 The curve of measured C_Chla and calulated C_Chla

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图 4 2004年5月3日福建省海域叶绿素a浓度四种算法的反演结果（单位：mg·m^-3）

Fig. 4 The result of four algorithms of C_Chla on May 3, 2004 in Fujian ocean (unit: mg·m^-3)

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图 5 2002-2005年福建海域典型赤潮灾害叶绿素a浓度反演结果（单位：mg·m^-3）

(a) 2002-06-06, (b) 2002-11-11, (c) 2003-04-18, (d) 2003-05-20, (e) 2003-05-31, (f) 2003-05-31, (g) 2004-04-27, (h) 2004-05-03, (i) 2004-05-10, (j) 2004-05-26, (k) 2005-06-09, (l) 2005-07-05

Fig. 5 The calculate result of C_Chla of representative red tide during 2002-2005 in Fujian ocean (unit: mg·m^-3)

(a) 2002-06-06, (b) 2002-11-11, (c) 2003-04-18, (d) 2003-05-20, (e) 2003-05-31, (f) 2003-05-31, (g) 2004-04-27, (h) 2004-05-03, (i) 2004-05-10, (j) 2004-05-26, (k) 2005-06-09, (l) 2005-07-05

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图 6 R_A与实测C_Chla浓度的相关图

Fig. 6 The correlation map of R_A and measured C_Chla

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图 7 赤潮灾害发生前、中、后的R_A变化

Fig. 7 The change of R_A course in red tide

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表 1 MODIS应用于海洋环境监测的探测通道特性

Table 1 Characteristics of MODIS channel applied to ocean

表 2 福建省赤潮监控区内10个观测站点经纬度

Table 2 Latitude and longitude of ten observation stations of red tide in Fujian

表 3 SeaDAS两种标准经验算法表达式

Table 3 The expression of two standard empirical algorithms of SeaDAS

表 4 现场采集与MODIS数据反演叶绿素a浓度结果 (单位: mg/m³)

Table 4 The measured Chlorophyll-a and the calculated Chlorophyll-a base on MODIS data (unit: mg/m³)

表 5 2002—2005年福建海域典型赤潮灾害情况

Table 5 The representative red tide of 2002—2005 in Fujian ocean

表 6 经过质量控制后的20个样本点数据

Table 6 20 samples data after quality cortrol

表 7 计算2002—2005年赤潮R_A的样点位置及取样日期

Table 7 The sample position and sample date of R_A of red tide in 2002—2005

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