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国土资源遥感  2012, Vol. 24 Issue (4): 152-156    DOI: 10.6046/gtzyyg.2012.04.25
  技术应用 本期目录 | 过刊浏览 | 高级检索 |
应用MODIS数据反演河北省海域叶绿素a浓度
徐雯佳1,2, 杨斌1, 田力1, 葛超英1, 徐永利2
1. 河北省地矿局水文工程地质勘查院,石家庄 050021;
2. 河北省地质调查院,石家庄 050081
Retrieval of Chlorophyll-a Concentration by Using MODIS Data in Hebei Sea Area
XU Wen-jia1,2, YANG Bin1, TIAN Li1, GE Chao-ying1, XU Yong-li2
1. Hebei Prospecting Institute of Hydrogeology and Engineering Geological, Shijiazhuang 050021, China;
2. Institute of Geological Survey of Hebei Province, Shijiazhuang 050081, China
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摘要 为了建立更加合理、准确的叶绿素a遥感反演模型,利用地物光谱仪测定了河北省海域水面的光谱反射率,分析了光谱反射率与实测叶绿素a浓度之间的关系。在此基础上,通过MODIS数据各波段及波段组合的反射率与实测叶绿素a浓度的相关分析,确定第1波段(B1)为最佳反演波段,建立了应用B1反演叶绿素a浓度的遥感模型,并对模型精度进行验证。结果表明: 该模型相关系数为0.66,反演结果均方根误差为0.48 mg/m3,模型精度优于SeaDAS的OC3标准经验算法; 该模型反演河北省海域表层水体的叶绿素a浓度有较好的效果。
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秦雁
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何颖清
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陈启东
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关键词 云检测云影检测去云TM图像    
Abstract:In order to build a more reasonable and accurate remote retrieval model than the models used before, the authors measured water spectral reflectance by field spectrometer in sea area of Hebei Province. Based on analyzing the relationship between spectral reflectance and actual measured value of chlorophyll-a concentration, the authors conducted correlation analysis between the reflectance of each band or band combination of MODIS data and measured value of chlorophyll-a concentration. The result shows that the best inversion band is B1. Then the remote sensing monitoring model of chlorophyll-a concentration was built by using B1 of MODIS data. The retrieval results and corresponding actual measured results were compared with each other at last. The results show that the correlation coefficient of this model is 0.66 and the root mean square error of inversion result is 0.48 mg/m3. The precision of this retrieval model is better than OC3 standard empirical algorithm of SeaDAS. Therefore, the model could be employed to retrieve chlorophyll-a concentration of surface water of Hebei sea area effectively by using MODIS data.
Key wordscloud detection    cloud-shadow detection    cloud removal    TM image
收稿日期: 2011-12-02      出版日期: 2012-11-13
: 

TP 79

 
基金资助:

河北省国土资源厅基础类项目"基于国家海洋卫星河北海洋水色水温等环境要素遥感监测"(编号: 2011995559)资助。

引用本文:   
徐雯佳, 杨斌, 田力, 葛超英, 徐永利. 应用MODIS数据反演河北省海域叶绿素a浓度[J]. 国土资源遥感, 2012, 24(4): 152-156.
XU Wen-jia, YANG Bin, TIAN Li, GE Chao-ying, XU Yong-li. Retrieval of Chlorophyll-a Concentration by Using MODIS Data in Hebei Sea Area. REMOTE SENSING FOR LAND & RESOURCES, 2012, 24(4): 152-156.
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https://www.gtzyyg.com/CN/10.6046/gtzyyg.2012.04.25      或      https://www.gtzyyg.com/CN/Y2012/V24/I4/152
[1] 张彦喆,郑小慎,张波.渤海海域叶绿素浓度的遥感反演研究[J].天津科技大学学报,2010,25(1):51-53.

Zhang Y Z,Zheng X S,Zhang B.Study on Retrieval of Chlorophyll Concentration by Remote Sensing in Bohai Sea[J].Journal of Tianjin University of Science and Technology,2010,25(1):51-53(in Chinese with English Abstract).

[2] 段洪涛,张柏,宋开山,等.长春市南湖叶绿素a浓度高光谱估测模型研究[J].水科学进展,2006,17(3):323-329.

Duan H T,Zhang B,Song K S,et al.Hyperspectral Model of Chlorophyll-a Concentration in Nanhu Lake in Changchun[J].Advances in Water Science,2006,17(3):323-329(in Chinese with English Abstract).

[3] 王其茂,马超飞,郭茂华.卫星海洋遥感的发展和预报中心遥感应用[J].海洋预报,2005,22(s1):81-86.

Wang Q M,Ma C F,Guo M H.Development of Satellite Remote Sensing of Ocean and Applications in NMEFC[J].Marine Forecasts,2005,22(s1):81-86(in Chinese with English Abstract).

[4] Carder K L,Chen F R,Lee Z P,et al.Semianalytic Moderate Resolution Imaging Spectrometer Algorithms for Chlorophyll-a and Absorption with Bio-optica1 Domains Based on Nitrate-depletion Temperatures[J].Journal of Geophysical Research,1999,104(3):5403-5421.

[5] Letelier R M,Abbott M R.An Analysis of Chlorophyll Fluorescence Algorithms for the Moderate Resolution Imaging Spectrometer(MODIS)[J].Remote Sensing of Environment,1996,58(2):215-223.

[6] [JP+2] Brivio P A,Giardino C,Zilioli E.Determination of Chlorophyll Concentration Changes in Lake Garda Using an Image Based Radiative Transfer Code for Landsat TM Images[J].International Journal of Remote Sensing,2001,22(2/3):487-502.

[7] 吕恒,江南,罗潋葱.基于TM数据的太湖叶绿素A浓度定量反演[J].地理科学,2006,26(4):472-476.

Lu H,Jiang N,Luo L C.Quantitative Retrieval of Chlorophyll-a by Remote Sensing in Taihu Lake Based on TM Data[J].Scientia Geographica Sinica,2006,26(4):472-476(in Chinese with English Abstract).

[8] 陈军,付军,孙记红.用数值方法模拟观测误差对水质浓度反演模型参数的影响——以叶绿素a浓度为例[J].国土资源遥感,2011(1):57-61.

Chen J,Fu J,Sun J H.The Application of the Numerical Method to Simulating the Impact of the Observation Errors on the Parameters of the Water Quality Retrieval Model:A Case Study of Chlorophyll-a Concentration[J].Remote Sensing for Land and Resources,2011(1):57-61(in Chinese with English Abstract).

[9] 顾亮,张玉超,钱新,等.太湖水域叶绿素a浓度的遥感反演研究[J].环境科学与管理,2007,32(6):25-28.

Gu L,Zhang Y C,Qian X,et al.Study on Retrieval of Chlorophyll-a Concentration by Remote Sensing in Taihu Lake[J].Environmental Science and Management,2007,32(6):25-28(in Chinese with English Abstract).

[10] 唐军武,田国良,汪小勇,等.水体光谱测量与分析I:水面以上测量法[J].遥感学报,2004,8(1):37-44.

Tang J W,Tian G L,Wang X Y,et al.The Methods of Water Spectra Measurement and Analysis I:Above-water Method[J].Journal of Remote Sensing,2004,8(1):37-44(in Chinese with English Abstract).

[11] 徐萌,郁凡,李亚春,等.6S模式对EOS/MODIS数据进行大气校正的方法[J].南京大学学报:自然科学版,2006,42(6):582-589.

Xu M,Yu F,Li Y C,et al.The Method of Atmospheric Correction on the EOS/MODIS Data with 6S Model[J].Journal of Nanjing University:Natural Sciences,2006,42(6):582-589(in Chinese with English Abstract).

[12] 胡雯,杨世植,翟武全,等.NOAA卫星监测巢湖蓝藻水华的试验分析[J].环境科学与技术,2002,25(1):16-17.

Hu W,Yang S Z,Zhai W Q,et al.Application of NOAA Satellite for Monitoring Blue-green Algal Bloom in Chaohu Lake[J].Environmental Science and Technology,2002,25(1):16-17(in Chinese with English Abstract).

[13] 赵英时.遥感应用分析原理与方法[M].北京:科学出版社,2003.

Zhao Y S.Remote Sensing Application Analysis Principle and Method[M].Beijing:Science Press,2003(in Chinese).

[14] Gitelson A.The Peak Near 700 nm on Radiance Spectra of Algae and Water:Relationships of Its Magnitude and Position with Chlorophyll Concentration[J].International Journal of Remote Sensing,1993,13(17):3367-3373.

[15] Thiemann S,Kaufmann H.Determination of Chlorophyll Content and Trophic State of Lakes Using Field Spectrometer and IRS-1C Satellite Data in the Mecklenburg Lake District,Germany[J].Remote Sensing of Environment,2000,73(2):227-235.

[16] 疏小舟,汪骏发,沈鸣明,等.航空成像光谱水质遥感研究[J].红外与毫米波学报,2000,8(4):273-276.

Shu X Z,Wang S F,Shen M M,et al.Remote Sensing of Water Quality Monitoring Using an Airborne Imaging Spectrometer[J].Journal of Infrared and Millimeter Waves,2000,8(4):273-276(in Chinese with English Abstract).

[17] 陈晓翔,丁晓英.利用SeaWiFS数据估算珠江口海域表层叶绿素浓度的研究[J].中山大学学报:自然科学版,2004,43(1):98-101.

Chen X X,Ding X Y.Study on Estimation of Chlorophyll Concentration of Surface Water in the Pearl River Estuary Using SeaWiFS Data[J].Acta Scientiarum Naturalium Universitatis Sunyatseni,2004,43(1):98-101(in Chinese with English Abstract).

[18] 丛丕福,牛铮,曲丽梅,等.利用海洋卫星HY-1数据反演叶绿素a浓度[J].高技术通讯,2005,15(11):106-110.

Cong P F,Niu Z,Qu L M,et al.Retrieval of Chlorophyll-a Concentration from Ocean Satellite HY-1[J].Chinese High Technology Letters,2005,15(11):106-110(in Chinese with English Abstract).

[19] Thiemann S,Kaufmann H.Lake Water Quality Monitoring Using Hyperspectral Airborne Data a Semiempirical Multisensor and Multitemporal Approach for the Mecklenburg Lake District,Germany[J].Remote Sensing of Environment,2002,81(2/3):228-237.

[20] 陈晓玲,李毓湘,李志林.香港海域叶绿素-a浓度的时空分布规律[J].地理学报,2002,57(4):422-428.

Chen X L,Li Y X,Li Z L.Spatio-temporal Distribution of Chlorophyll-a Concentration in Hong Kong’s Coastal Waters[J].Acta Geographica Sinica,2002,57(4):422-428(in Chinese with English Abstract).

[21] 沙慧敏,李小恕,杨文波,等.用MODIS遥感数据反演东海海表温度、叶绿素a浓度年际变化的研究[J].大连水产学院学报,2009,24(2):151-156.

Sha H M,Li X S,Yang W B,et al.Annual Variation in Sea Surface Temperature and Chlorophyll-a Concentration Retrieved by MODIS in East China Sea[J].Journal of Dalian Fisheries University,2009,24(2):151-156(in Chinese with English Abstract).

[22] 张春桂,曾银东,张星,等.海洋叶绿素a浓度反演及其在赤潮监测中的应用[J].应用气象学报,2007,18(6):821-831.

Zhang C G,Zeng Y D,Zhang X,et al.Ocean Chlorophyll-a Derived from Satellite Data with Its Application to Red Tide Monitoring[J].Journal of Applied Meteorological Science,2007,18(6):821-831(in Chinese with English Abstract).

[23] 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[J].海洋科学,2004,28(8):14-18.

Zeng Y D,Shang S L,Zhang C Y,et al.Comparison of Remote Sensing Chlorophyll-a (Chla) Derived from Three Empirical Algorithms in the Northeastern South China Sea Water[J].Marine Sciences,2004,28(8):14-18(in Chinese with English Abstract).
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