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Developing water quality retrieval models with in situ hyperspectral data in Poyang Lake,China

Geo-Spatial Information Science 2016年第4期19卷 255-266页

作者： Fangyuan Chen Di Xiao Zhuochao Li School of Resource and Environmental Sciences Wuhan UniversityWuhanChina State-owned Assets Supervision and Administration Commission of Caidian District WuhanChina

Applying remote sensing techniques to develop the retrieval models and further to obtain the spatiotemporal information of water quality parameters is necessary for understanding,managing,and protecting lake *** study aimed to calibrate and validate the retrieval models for estimating the concentrations of chlorophyll a(C_(CHL)),suspended particulate matter(C_(SPM)),and dissolved organic carbon(C_(DOC))with the in situ hyperspectral measurements in Poyang Lake,China in 2010 and *** model calibration and validation results indicated that:(1)for C_(CHL)retrieval,significantly strong and moderate correlations existed between the measured and estimated values(with the correlation coefficient r=0.92 and r=0.76)using the exponential model and the three-band model,respectively,with biased estimation observed for the exponential model;(2)for retrieving C_(SPM),there was a strong correlation between the measured and estimated values(r=0.95)using the exponential model;and(3)no significant correlation between measured and estimated C_(DOC)values was found with our developed *** work is needed to allow the water quality of Poyang Lake to be accurately and steadily estimated,especially for C_(CHL)and C_(DOC).

关键词： Chlorophyll a suspended particulate matter dissolved organic carbon exponential model three-band model remote sensing reflectance

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Analysis of the regional spectral properties in northwestern South China Sea based on an empirical orthogonal function

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Acta Oceanologica Sinica 2020年第7期39卷 107-114页

作者： Dongyang Fu Yuye Huang Dazhao Liu Shan Liao Guo Yu Xiaolong Zhang College of Electronic and Information Engineering Guangdong Ocean UniversityZhanjiang 524088China State Key Laboratory of Tropical Oceanography South China Sea Institute of OceanologyChinese Academy of SciencesGuangzhou 510301China University of Chinese Academy of Sciences Beijing 100049China

This study presents an analysis of the spectral characteristics of remote sensing reflectance(Rrs)in northwestern South China Sea based on the in situ optical and water quality data for August *** initially divided into four classes,classes A to D,using the max-classification algorithm,and the spectral properties of whole Rrs were characterized using the empirical orthogonal function(EOF)***,the dominant factors in each EOF mode were *** results indicated that more than 95%of the variances of Rrs are partly driven by the back-scattering characteristics of the suspended *** initial two EOF modes were well correlated with the total suspended matter and back-scattering ***,the first EOF modes of the four classes of Rrs(A-D Rrs-EOF1)significantly contributed to the total variances of each Rrs *** addition,the correlation coefficients between the amplitude factors of class A-D Rrs-EOF1 and the variances of the relevant water quality and optical parameters were better than those of the unclassified *** spectral shape of class ARrs-EOF1 was governed by the absorption characteristic of chlorophyll a and colored dissolved organic matter(CDOM).The spectral shape of class B Rrs-EOF1 was governed by the absorption characteristic of CDOM since it exhibited a high correlation with the absorption coefficient of CDOM(ag(λ)),whereas the spectral shape of class C Rrs-EOF1 was governed by the back-scattering characteristics but not affected by the suspended *** spectral shape of class D Rrs-EOF1 exhibited a relatively good correlation with all the water quality parameters,which played a significant role in deciding its spectral shape.

关键词： northwestern South China Sea remote sensing reflectance empirical orthogonal function analysis ocean color control factors

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Assessing Landsat-8 atmospheric correction schemes in low to moderate turbidity waters from a global perspective

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International Journal of Digital Earth 2023年第1期16卷 66-92页

作者： Nanyang Yan Zhen Sun Wei Huang Zhao Jun Shaojie Sun School of Marine Sciences Sun Yat-sen UniversityGuangzhouPeople’s Republic of China Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai) ZhuhaiPeople’s Republic of China Guangdong Provincial Key Laboratory of Marine Resources and Coastal Engineering GuangzhouPeople’s Republic of China Pearl River Estuary Marine Ecosystem Research Station Ministry of EducationZhuhaiPeople’s Republic of China Key Laboratory of Natural Resources Monitoring in Tropical and Subtropical area of South China Ministry of Natural ResourcesGuangzhouPeople’s Republic of China

Atmospheric correction is one of the major challenges in ocean color remote sensing,thus threatening comprehensive evaluation of water quality within aquatic *** this study,five state-of-the-art atmospheric correction(AC)processors(***,C2RCC,iCOR,L2gen,and Polymer)were applied to Operational Land Imager(OLI)Landsat-8 scenes and evaluated against in situ measurements across various types of waters worldwide.A total of 262 matchups between in situ measured and satellite-derived remote sensing reflectance(R_(rs))at 20 sites were obtained between August 2013 and August *** of optical water types(OWTs)was carried out using in situ measurements with matched satellite ***-specific analysis demonstrated that L2gen produced the most accurate Rrs with R^(2)≥0.74 and root mean squared error(RMSE)≤0.0018 sr^(–1) for the four visible bands of OLI,followed by Polymer,C2RCC,iCOR,and *** terms of R_(rs) spectral similarity,C2RCC yielded the lowest spectral angle(SA)of 8.55°,followed by L2gen(SA=9.20°).The advantage and disadvantage of each AC scheme were *** to improve the accuracy for atmospheric correction were made,such as polarization observations and concurrent aerosol and ocean color measurements.

关键词： Atmospheric correction Landsat-8 oceancolor remote sensing reflectance

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RESEARCH ON reflectance SPECTRUM OF FINE SUSPENDED SEDIMENT

RESEARCH ON REFLECTANCE SPECTRUM OF FINE SUSPENDED SEDIMENT

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第九次河流泥沙国际学术大会

作者： Zhen HAN and Caixing YUNMinistry of education key laboratory of wave scattering and remote sensing information, Fudan University Shanghai 200433 China. E-mail: han-zhen@*** ycx408@china.comFengjie YANG Geoinformation Science and Engineering College of Shandong University of Scienceand Technology, 271019 China. Zhijun DAI and Xuezhong JIANGState key laboratory of Estuarine and Coastal Research, East China Normal UniversityShanghai 200062 China

＜正＞Suspended sediment is one of the most important factors concerning the water color remote sensing. The quantitative relation between the remote sensing data and suspended sediment content is the key issue in studying the suspended sediment by remote sensing technology. And the spectrum characteristics are the basis of the remote sensing research. A test aimed to simultaneously measure both the inherent optical properties and the apparent optical properties has been completed by utilizing such facilities as the ASD dual channel spectrometer, hydroscat-6 spectral backscattering sensor and LS-100Q laser scattering particle size analyzer et al., The specimens （medium value size 0.004,6mm） came from the fine sediment of tidal flat top near Xiangshan harbor, Zhejiang province. The paper calculated the remote sensing reflectance, the basic parameter of suspended sediment remote sensing quantitative inversion. Moreover, the characteristic band waves of suspended sediment and their relativity were studied. Additionally, the other spectrum characteristics of fine suspended sediment were further discussed.

关键词： Suspended sediment Spectrum remote sensing reflectance

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