海洋叶绿素a浓度反演及其在赤潮监测中的应用

张春桂; 曾银东; 张星; 潘卫华; 林晶

海洋叶绿素a浓度反演及其在赤潮监测中的应用

1.
福建省气象科学研究所, 福州 350001
2.
福建省海洋环境与渔业资源监测中心, 福州 350003
3.
福建省气象局, 福州 350001

资助项目:

国家863计划重大专项“台湾海峡及毗邻海域洋动力环境实时立体监测系统” 2001AA604

中国气象局项目“MODIS资料在福建省陆海环境监测中的应用” CMATG2005M35

计量
- 摘要浏览量: 3230
- HTML全文浏览量: 663
- PDF下载量: 2696
- 被引次数: 0
出版历程
- 收稿日期: 2007-02-28
- 修回日期: 2007-09-10
- 刊出日期: 2007-12-31

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

摘要

摘要: 采用OC2和OC3两种标准经验算法以及Clark和NSMC-CASE2两种半分析算法进行了MODIS海洋叶绿素a浓度反演, 并根据2004年福建近海赤潮监控区内10个站点的叶绿素a浓度观测数据对反演结果进行了分析。利用2002—2005年MODIS叶绿素a浓度反演结果对同期发生在福建近海的赤潮灾害进行了初步研究, 并探讨了250 m 和500 m 分辨率的MODIS可见光数据对赤潮灾害监测的可能性。结果表明: 两种标准经验算法和两种半分析算法对叶绿素a浓度的反演均存在不同程度的偏高, 相对而言, OC3标准经验算法比较适合基于MODIS的福建近海叶绿素a浓度反演; MODIS红光 (250 m) 和绿光 (500 m) 通道数据的比值在赤潮灾害发生过程中发生了显著变化, 在灾害发生时其值明显较灾前和灾后均偏大。
- 遥感;
- 赤潮;
- 叶绿素a;
- MODIS 资料
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

HTML全文

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

下载: 全尺寸图片幻灯片

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

下载: 全尺寸图片幻灯片

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

下载: 全尺寸图片幻灯片

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)

下载: 全尺寸图片幻灯片

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

下载: 全尺寸图片幻灯片

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

下载: 全尺寸图片幻灯片

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

下载: 全尺寸图片幻灯片

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

参考文献(26)

[1]	易晓蕾.我国海洋赤潮管理与减灾. 海洋通报, 2003, 22(4): 55-59. http://www.cnki.com.cn/Article/CJFDTOTAL-HUTB200304008.htm
[2]	杜琦,张友权,高磊,等. 近年福建海域赤潮的特点及防治对策. 福建水产, 2002, (4): 32-37. http://www.cnki.com.cn/Article/CJFDTOTAL-FJSC200204005.htm
[3]	黄韦艮,肖清梅,楼秀林. 国内外赤潮卫星遥感技术与应用进展. 遥感技术与应用, 2002, 17(1): 32-36. http://www.cnki.com.cn/Article/CJFDTOTAL-YGJS200201006.htm
[4]	顾德宇,许德伟,陈海颖. 赤潮遥感进展与算法研究. 遥感技术与应用, 2003, 18(6): 434-440. http://www.cnki.com.cn/Article/CJFDTOTAL-YGJS200306014.htm
[5]	Holligan P M, Viollier M, Dupouy C, et al. Satellite and ship studies of coccolithophore production along a continental shelf edge.Nature, 1983, 304: 339-342. doi: 10.1038/304339a0
[6]	孙强,杨燕明,顾德宇, 等. SeaWiFS探测1997年闽南赤潮模型研究. 台湾海峡, 2000, 19(1): 70-74. http://www.cnki.com.cn/Article/CJFDTOTAL-TWHX200001012.htm
[7]	Strong A E. Remote sensing of algal blooms by aircraft and satellite in Lake Erie and Lake Utah. Remote Sensing of Environment, 1974, 3: 99-107. doi: 10.1016/0034-4257(74)90052-2
[8]	胡德永,王杰生,王振生.陆地卫星TM观测到渤海湾赤潮. 遥感信息, 1991, 6(3): 11-14. http://www.cnki.com.cn/Article/CJFDTOTAL-YGXX199103003.htm
[9]	Gower J F R. Red tide monitoring using AVHRR HRPT imagery from a local receiver. Remote Sensing of Environment, 1994, 48: 309-318. doi: 10.1016/0034-4257(94)90005-1
[10]	龚强,韩玺山,陈鹏狮. 气象卫星遥感在监测辽宁近海赤潮中的应用. 辽宁气象, 2000, (3): 25-26. http://www.cnki.com.cn/Article/CJFDTOTAL-LNQX200003007.htm
[11]	赵冬至. AVHRR遥感数据在海表赤潮细胞数探测中的应用. 海洋环境科学, 2003, 22(1): 10-19. http://www.cnki.com.cn/Article/CJFDTOTAL-HYHJ200301003.htm
[12]	Stumpf R P, Mary A Tyler. Satellite detection of bloom and pigment distributions in estuaries. Remote Sensing of Environment, 1998, 24: 385-404. http://www.sciencedirect.com/science/article/pii/0034425788900144
[13]	Cullen JJ, Ciotti A M, Davis R F, et al. Optical detection and assessment of algal blooms. Limonl Oceangr, 1997, 42: 1223-1239. doi: 10.4319/lo.1997.42.5_part_2.1223
[14]	Kahru M, Mitchell B G. Spectral reflectance and absorption of a massive red tide off Southern California. Journal of Geophysical Research, 1998, 103: 21601-21609. doi: 10.1029/98JC01945
[15]	楼秀林,黄韦.基于人工神经网络的赤潮卫星遥感方法研究. 遥感学报, 2003, 7(2): 125-130.
[16]	詹海刚,施平,陈楚群. 基于遗传算法的二类水体水色遥感反演. 遥感学报, 2004, 8(1): 31-36.
[17]	赵冬至,张丰收,赵玲. 近岸海域叶绿素a和赤潮的AVHRR归一化差值探测方法研究. 海洋技术, 2003, 22(3): 30-33.
[18]	Sathyendranath S. Remote Sensing of Ocean Colour in Coastal and Other Optically-Complex Waters. Reports of the International Ocean-Colour Coordinating Group, No.3. IOCCG, Dartmouth, Canada, 2000.
[19]	张杰,王介民,郭铌. 应用6S模式对EOS-MODIS可见光到中红外波段的大气订正. 应用气象学报, 2004, 15(6): 651-657. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=20040678&flag=1
[20]	Gordon H R, Wang M. Retrieval of water-leaving radiance and aerosol optical Thickness over the oceans with SeaWiFS: A preliminary algorithm. Applied Optics, 1994, 33(3): 443-452. doi: 10.1364/AO.33.000443
[21]	O'Reilly J E, Maritorena S, O'Brien MC, et al. SeaWiFS Postlaunch Calibration and Validation Analyses, Part 3. Maryland: NASA Goddard Space Flight Center, 2000.
[22]	曾银东,商少凌,张彩云, 等. 南海东北部基于标准经验算法的遥感叶绿素a反演结果比较分析. 海洋科学, 2004, 28(8): 14- 18.
[23]	赵冬至,张丰收,赵玲, 等. 近岸海域叶绿素和赤潮的AVHRR波段比值探测方法研究.海洋环境科学, 2003, 22(4): 9-12.
[24]	Kirk J T O. Light and Photosynthesis in Aquatic Ecosystems. Cambridge: Cambridge University Press, 1983.
[25]	胡雯,吴文玉,孔庆欣, 等. 用 FY-1C/CAVHRR 数据估算巢湖蓝藻叶绿素的含量. 南京气象学院学报, 2002, 25(1): 124- 128. http://kns.cnki.net/KCMS/detail/detail.aspx?dbcode=CJFQ&dbname=CJFD2002&filename=NJQX200201018&v=MDQzODhIdFBNcm85RWJJUjhlWDFMdXhZUzdEaDFUM3FUcldNMUZyQ1VSTDJmWStabkZ5M2tVcjdMS3lmYWRyRzQ=
[26]	王其茂,蒋兴伟,林明森, 等. HY-1卫星资料在海洋上的典型应用. 遥感技术与应用, 2003, 18(6): 374-378. http://www.cnki.com.cn/Article/CJFDTOTAL-YGJS200306004.htm