Retrieval of chlorophyll-a concentration in Chaohu based on radiative transfer model
Wenya LIU1, Ruru DENG1,2,3(), Yeheng LIANG1, Yi WU1, Yongming LIU1
1.School of Geographic Science and Planning, Sun Yat-Sen University, Guangzhou 510275, China 2.Guangdong Engineering Research Center of Water Environment Remote Sensing Monitoring, Guangzhou 510275, China 3.Guangdong Provincial Key Laboratory of Urbanization and Geo-Simulation, Guangzhou 510275, China
The algorithm of chlorophyll-a concentration inversion with higher universality is the key to improving the practicability of quantitative remote sensing technology. Based on the radioactive transfer mechanism, the optical characteristics of chlorophyll-a and other factors in inland lakes are analyzed, and a physical model of pixel reflectivity and factor concentration is established. The model was applied to the remote sensing data of different phases in Chaohu. The determination coefficient was 0.877 8 and the average relative error was only 11.61%. This proved that the precision of the model was higher and the universality was stronger. Then, the preprocessed Chaohu remote sensing image was applied to the model, and the spatial and temporal distribution characteristics of eutrophic pollution in Chaohu were obtained, which is consistent with the regulation of the seasonal multiplication of algae. The model used in this study has high accuracy and universality and thus can promote the application of quantitative remote sensing technology in water pollution research.
刘文雅, 邓孺孺, 梁业恒, 吴仪, 刘永明. 基于辐射传输模型的巢湖叶绿素a浓度反演[J]. 国土资源遥感, 2019, 31(2): 102-110.
Wenya LIU, Ruru DENG, Yeheng LIANG, Yi WU, Yongming LIU. Retrieval of chlorophyll-a concentration in Chaohu based on radiative transfer model. Remote Sensing for Land & Resources, 2019, 31(2): 102-110.
Li S J, Wu Q, Wang X J , et al. Correlations between reflectance spectra and contents of chlorophyll-a in Chaohu Lake[J]. Journal of Lake Science, 2002,14(3):228-234.
Xun S P, Zhai W Q, Fan W , et al. MODIS in monitoring the chlorophyll-a concentrations of Chaohu Lake[J]. Journal of Applied Meteorological Science, 2009,20(1):95-101.
Yang Y, Li Y M, Wang Q , et al. Retrieval of chlorophyll-a concentration by three-band model in Lake Chaohu[J]. Journal of Lake Science, 2010,22(4):495-503.
Xie J, Wang X Y, Zhang J , et al. Analysing developing trend of chlorophyll-a concentration in Chaohu Lake based on TM/ETM+ image[J]. China Environmental Science, 2010,30(5):677-682.
Chen J, Wu C Q, Shen W , et al. Chlorophyll-a dynamic monitoring in Chaohu Lake based on environmental satellite 1 CCD data[J]. Environmental Monitoring in China, 2012,28(1):116-119.
Yin S J, Wu C Q, Wang C , et al. Eutrophication assessment of Chao-hu Lake using remote sensing and in-situ data[J]. Environmental Monitoring in China, 2018,34(1):157-164.
[8]
Gilerson A A, Gitelson A A, Zhou J , et al. Algorithms for remote estimation of chlorophyll-a in coastal and inland waters using red and near infrared bands[J]. Optics Express, 2010,18(23):24109-24125.
doi: 10.1364/OE.18.024109
pmid: 21164758
[9]
Matthews M W . A current review of empirical procedures of remote sensing in inland and near-coastal transitional waters[J]. International Journal of Remote Sensing, 2011,32(21):6855-6899.
doi: 10.1080/01431161.2010.512947
[10]
Mishra S, Mishra D R, Lee Z , et al. Quantifying cyanobacterial phycocyanin concentration in turbid productive waters:A quasi-analytical approach[J]. Remote Sensingof Environment, 2013,133:141-151.
doi: 10.1016/j.rse.2013.02.004
[11]
Stumpf R P, Davis T W, Wynne T T , et al. Challenges for mapping cyanotoxin patterns from remote sensing of cyanobacteria[J]. Harmful Algae, 2016,54:160-173.
doi: 10.1016/j.hal.2016.01.005
pmid: 28073474
Deng R R, He Z J, Chen X X . Model for water pollution remote sensing based on double scattering and its application on the Zhujiang River Estuary[J]. Acta Oceanologica Sinica, 2003,25(6):69-78.
Deng R R, Qin Y . Monitoring water quality of reservoirs in Pearl River Delta Region by remote sensing:A case study on Meizhou Reservoir and Liuxihe Reservoir[C]//Proceedings of the National Seminar on Remote Sensing Application Technology for Land and Resources and Environment.Shenzhen:Chinese Society of Territorial Economics, 2009: 179-188.
Deng R R, He Z J, Chen X X , et al. Qualitative analysis of water pollution in the Pearl River Estuary by remote sensing method[J]. Acta Scientiarum Naturalium Universitatis Sunyatseni, 2002,41(3):99-103.
Wu Y, Deng R R, Qin Y , et al. The study of spatial-temporal characteristic for chlorophyll concentration derived from remote sensing image in Xinfengjiang Reservoir[J]. Remote Sensing Technology and Application, 2017,32(5):825-834.
Xu H Q, Tang F . Analysis of new characteristics of the first Landsat8 image and their eco-environmental significance[J]. Acta Ecologica Sinica, 2013,33(11):3249-3257.
Yang Y N, Wang J L, Chen G J , et al. Relationship between land use pattern and water quality change in Fuxian Lake basin[J]. Remote Sensing for Land and Resources, 2016,28(1):159-165.doi: 10.6046/gtzyyg.2016.01.23.
[18]
Kaufman, Y J , Wald A E,Remer L A ,et al.The MODIS 2.1-μm channel-correlation with visable reflectance for use in remote sensing of aerosol[J]. IEEE Transactions on Geoscience and Remote Sensing, 1997,35(5):1286-1298.
doi: 10.1109/36.628795
[19]
Richter R, Schläpfer D, Müller A . An automatic atmospheric correction algorithm for visible/NIR imagery[J]. International Journal of Remote Sensig, 2006,27(10):2077-2085.
doi: 10.1080/01431160500486690
[20]
Zhang M, Carder K , Mulle-Karger F E ,et al.Noise reduction and atmospheric correction for coastal applications of Landsat thematic mapper imagery[J]. Remote Sensing of Environment, 1999,70(2):167-180.
doi: 10.1016/S0034-4257(99)00031-0
Deng R R, He Y Q, Qin Y , et al. Measuring pure water absorption coefficient in the near-infrared spectrum(900—2500 nm)[J]. Journal of Remote Sensing, 2012,16(1):192-206.
Chen Y L . Calculation of Remote Sensing Reflectance Based on Radiative Transfer Model and Analysis of Chlorophyll Retrieval Algorithm[D]. Shanghai: East China Normal University, 2015.
[26]
Ton T, Jain A K, Enslin W R , et al. Automatic road identification and labeling in Landsat4 TM images[J]. Photogrammetric, 1989,43(5):257-276.
doi: 10.1016/0031-8663(89)90002-1
An R, Liu Y Y, Qu C M , et al. Estimation of chlorophyll-a concentration of caseⅡ waters from hyperspectral remote sensing data in NDCI method[J]. Journal of Lake Sciences, 2013,25(3):437-444.
[28]
谢杰 . 基于遥感的巢湖水体叶绿素a浓度变化趋势研究[D]. 芜湖:安徽师范大学, 2011.
Xie J . Research Developing Trend of Chlorophyll-a Concentration in Chaohu Lake Based on Remote Sensing[D]. Wuhu:Anhui Normal University, 2011.
Wang X Q, Xing X G, Wang J P , et al. A satellite-based analysis on the seasonal variations and interrelationships between chlorophyll and particle in the South China Sea[J]. Acta Oceanologica Sinica, 2015,37(10):26-38.
[32]
张玉娟 . 大亚湾浮游植物种群动态及锥状斯氏藻的实验生态研究[D]. 广州:暨南大学, 2006.
Zhang Y J . Seasonal Changes in the Phytoplankton Community and Experimental Ecology of Scrippsiella Trochoidea in Daya Bay,South China Sea[D]. Guangzhou:Jinan University, 2006.