Yang, W.[Wei],
Matsushita, B.,
Chen, J.[Jin],
Yoshimura, K.,
Fukushima, T.,
Retrieval of Inherent Optical Properties for Turbid Inland Waters
From Remote-Sensing Reflectance,
GeoRS(51), No. 6, 2013, pp. 3761-3773.
IEEE DOI
1307
lakes; water quality
BibRef
Palmer, S.C.J.[Stephanie C.J.],
Pelevin, V.V.[Vadim V.],
Goncharenko, I.[Igor],
Kovács, A.W.[Attila W.],
Zlinszky, A.[András],
Présing, M.[Mátyás],
Horváth, H.[Hajnalka],
Nicolás-Perea, V.[Virginia],
Balzter, H.[Heiko],
Tóth, V.R.[Viktor R.],
Ultraviolet Fluorescence LiDAR (UFL) as a Measurement Tool for Water
Quality Parameters in Turbid Lake Conditions,
RS(5), No. 9, 2013, pp. 4405-4422.
DOI Link
1310
BibRef
Baughman, C.A.[Carson A.],
Jones, B.M.[Benjamin M.],
Bartz, K.K.[Krista K.],
Young, D.B.[Daniel B.],
Zimmerman, C.E.[Christian E.],
Reconstructing Turbidity in a Glacially Influenced Lake Using the
Landsat TM and ETM+ Surface Reflectance Climate Data Record Archive,
Lake Clark, Alaska,
RS(7), No. 10, 2015, pp. 13692.
DOI Link
1511
BibRef
Lu, H.M.[Hui-Min],
Li, Y.J.[Yu-Jie],
Nakashima, S.[Shota],
Serikawa, S.[Seiichi],
Turbidity Underwater Image Restoration Using Spectral Properties and
Light Compensation,
IEICE(E99-D), No. 1, January 2016, pp. 219-227.
WWW Link.
1601
BibRef
Starr, S.M.[Scott M.],
Heintzman, L.J.[Lucas J.],
Mulligan, K.R.[Kevin R.],
Barbato, L.S.[Lucia S.],
McIntyre, N.E.[Nancy E.],
Using Remotely Sensed Imagery to Document How Land Use Drives
Turbidity of Playa Waters in Texas,
RS(8), No. 3, 2016, pp. 192.
DOI Link
1604
BibRef
Tamari, S.[Serge],
Guerrero-Meza, V.[Vicente],
Rifad, Y.[Younès],
Bravo-Inclán, L.[Luis],
Sánchez-Chávez, J.J.[José Javier],
Stage Monitoring in Turbid Reservoirs with an Inclined Terrestrial
Near-Infrared Lidar,
RS(8), No. 12, 2016, pp. 999.
DOI Link
1612
BibRef
Song, K.S.[Kai-Shan],
Ma, J.H.[Jian-Hang],
Wen, Z.D.[Zhi-Dan],
Fang, C.[Chong],
Shang, Y.X.[Ying-Xin],
Zhao, Y.[Ying],
Wang, M.[Ming],
Du, J.[Jia],
Remote estimation of Kd (PAR) using MODIS and Landsat imagery for
turbid inland waters in Northeast China,
PandRS(123), No. 1, 2017, pp. 159-172.
Elsevier DOI
1612
Light attenuation coefficients
BibRef
Joshi, I.D.[Ishan D.],
d'Sa, E.J.[Eurico J.],
Osburn, C.L.[Christopher L.],
Bianchi, T.S.[Thomas S.],
Turbidity in Apalachicola Bay, Florida from Landsat 5 TM and Field
Data: Seasonal Patterns and Response to Extreme Events,
RS(9), No. 4, 2017, pp. xx-yy.
DOI Link
1705
BibRef
Wei, J.A.,
Wang, D.,
Gong, F.,
He, X.,
Bai, Y.,
The Influence of Increasing Water Turbidity on Sea Surface Emissivity,
GeoRS(55), No. 6, June 2017, pp. 3501-3515.
IEEE DOI
1706
Atmospheric measurements, Ocean temperature,
Optical surface waves, Radiometry, Sea measurements, Sea surface,
Emissivity, remote sensing, sea surface temperature (SST), water turbidity
BibRef
Fischer, A.M.[Andrew M.],
Pang, D.[Daniel],
Kidd, I.M.[Ian M.],
Moreno-Madriñán, M.J.[Max J.],
Spatio-Temporal Variability in a Turbid and Dynamic Tidal Estuarine
Environment (Tasmania, Australia): An Assessment of MODIS Band 1
Reflectance,
IJGI(6), No. 11, 2017, pp. xx-yy.
DOI Link
1712
BibRef
Larnicol, M.[Morgane],
Launeau, P.[Patrick],
Gernez, P.[Pierre],
Using High-Resolution Airborne Data to Evaluate MERIS Atmospheric
Correction and Intra-Pixel Variability in Nearshore Turbid Waters,
RS(10), No. 2, 2018, pp. xx-yy.
DOI Link
1804
BibRef
Yang, G.[Gang],
Wang, X.H.[Xiao-Hua],
Ritchie, E.A.[Elizabeth A.],
Qiao, L.[Lulu],
Li, G.X.[Guang-Xue],
Cheng, Z.X.[Zhi-Xin],
Using 250-M Surface Reflectance MODIS Aqua/Terra Product to Estimate
Turbidity in a Macro-Tidal Harbour: Darwin Harbour, Australia,
RS(10), No. 7, 2018, pp. xx-yy.
DOI Link
1808
BibRef
Bi, S.[Shun],
Li, Y.M.[Yun-Mei],
Wang, Q.[Qiao],
Lyu, H.[Heng],
Liu, G.[Ge],
Zheng, Z.B.[Zhu-Bin],
Du, C.G.[Cheng-Gong],
Mu, M.[Meng],
Xu, J.[Jie],
Lei, S.H.[Shao-Hua],
Miao, S.[Song],
Inland Water Atmospheric Correction Based on Turbidity Classification
Using OLCI and SLSTR Synergistic Observations,
RS(10), No. 7, 2018, pp. xx-yy.
DOI Link
1808
BibRef
Launeau, P.[Patrick],
Giraud, M.[Manuel],
Robin, M.[Marc],
Baltzer, A.[Agnès],
Full-Waveform LiDAR Fast Analysis of a Moderately Turbid Bay in
Western France,
RS(11), No. 2, 2019, pp. xx-yy.
DOI Link
1902
BibRef
Son, S.H.[Seung-Hyun],
Wang, M.[Menghua],
VIIRS-Derived Water Turbidity in the Great Lakes,
RS(11), No. 12, 2019, pp. xx-yy.
DOI Link
1907
BibRef
Li, J.S.[Jun-Sheng],
Yin, Z.Y.[Zi-Yao],
Lu, Z.Y.[Zhao-Yi],
Ye, Y.T.[Yun-Tao],
Zhang, F.F.[Fang-Fang],
Shen, Q.[Qian],
Zhang, B.[Bing],
Regional Vicarious Calibration of the SWIR-Based Atmospheric
Correction Approach for MODIS-Aqua Measurements of Highly Turbid
Inland Water,
RS(11), No. 14, 2019, pp. xx-yy.
DOI Link
1908
BibRef
Liu, X.H.[Xiao-Han],
Lee, Z.P.[Zhong-Ping],
Zhang, Y.L.[Yun-Lin],
Lin, J.F.[Jun-Fang],
Shi, K.[Kun],
Zhou, Y.Q.[Yong-Qiang],
Qin, B.Q.[Bo-Qiang],
Sun, Z.H.[Zhao-Hua],
Remote Sensing of Secchi Depth in Highly Turbid Lake Waters and Its
Application with MERIS Data,
RS(11), No. 19, 2019, pp. xx-yy.
DOI Link
1910
BibRef
Rogers, G.[Geoffrey],
Transmission point spread function of a turbid slab,
JOSA-A(36), No. 10, October 2019, pp. 1617-1623.
DOI Link
1912
Modulation transfer function, Multiple scattering, Photons,
Point spread function, Spatial frequency, Turbid media imaging
BibRef
Liu, W.H.[Wei-Hua],
Wang, S.Y.[Si-Yuan],
Yang, R.X.[Rui-Xia],
Ma, Y.X.[Yuan-Xu],
Shen, M.[Ming],
You, Y.F.[Yong-Fa],
Hai, K.[Kai],
Baqa, M.F.[Muhammad Fahad],
Remote Sensing Retrieval of Turbidity in Alpine Rivers based on high
Spatial Resolution Satellites,
RS(11), No. 24, 2019, pp. xx-yy.
DOI Link
1912
BibRef
Legleiter, C.J.[Carl J.],
Manley, P.V.[Paul V.],
Erwin, S.O.[Susannah O.],
Bulliner, E.A.[Edward A.],
An Experimental Evaluation of the Feasibility of Inferring
Concentrations of a Visible Tracer Dye from Remotely Sensed Data in
Turbid Rivers,
RS(12), No. 1, 2019, pp. xx-yy.
DOI Link
2001
BibRef
Caballero, I.[Isabel],
Stumpf, R.P.[Richard P.],
Towards Routine Mapping of Shallow Bathymetry in Environments with
Variable Turbidity: Contribution of Sentinel-2A/B Satellites Mission,
RS(12), No. 3, 2020, pp. xx-yy.
DOI Link
2002
BibRef
Luo, Y.[Yafei],
Doxaran, D.[David],
Vanhellemont, Q.[Quinten],
Retrieval and Validation of Water Turbidity at Metre-Scale Using
Pléiades Satellite Data: A Case Study in the Gironde Estuary,
RS(12), No. 6, 2020, pp. xx-yy.
DOI Link
2003
BibRef
Renosh, P.R.[Pannimpullath Remanan],
Doxaran, D.[David],
de Keukelaere, L.[Liesbeth],
Gossn, J.I.[Juan Ignacio],
Evaluation of Atmospheric Correction Algorithms for Sentinel-2-MSI
and Sentinel-3-OLCI in Highly Turbid Estuarine Waters,
RS(12), No. 8, 2020, pp. xx-yy.
DOI Link
2004
BibRef
Zeng, S.[Shuai],
Lei, S.H.[Shao-Hua],
Li, Y.M.[Yun-Mei],
Lyu, H.[Heng],
Xu, J.F.[Jia-Feng],
Dong, X.Z.[Xian-Zhang],
Wang, R.[Rui],
Yang, Z.Q.[Zi-Qian],
Li, J.C.[Jian-Chao],
Retrieval of Secchi Disk Depth in Turbid Lakes from GOCI Based on a
New Semi-Analytical Algorithm,
RS(12), No. 9, 2020, pp. xx-yy.
DOI Link
2005
BibRef
Chu, Q.[Qiao],
Zhang, Y.C.[Yu-Chao],
Ma, R.H.[Rong-Hua],
Hu, M.Q.[Min-Qi],
Jing, Y.Y.[Yuan-Yuan],
MODIS-Based Remote Estimation of Absorption Coefficients of an Inland
Turbid Lake in China,
RS(12), No. 12, 2020, pp. xx-yy.
DOI Link
2006
BibRef
Abascal-Zorrilla, N.[Noelia],
Vantrepotte, V.[Vincent],
Huybrechts, N.[Nicolas],
Ngoc, D.D.[Dat Dinh],
Anthony, E.J.[Edward J.],
Gardel, A.[Antoine],
Dynamics of the Estuarine Turbidity Maximum Zone from Landsat-8 Data:
The Case of the Maroni River Estuary, French Guiana,
RS(12), No. 13, 2020, pp. xx-yy.
DOI Link
2007
BibRef
Maciel, D.A.[Daniel Andrade],
Barbosa, C.C.F.[Claudio Clemente Faria],
de Moraes Novo, E.M.L.[Evlyn Márcia Leão],
Cherukuru, N.[Nagur],
Martins, V.S.[Vitor Souza],
Flores Júnior, R.[Rogério],
Jorge, D.S.[Daniel Schaffer],
Sander de Carvalho, L.A.[Lino Augusto],
Carlos, F.M.[Felipe Menino],
Mapping of Diffuse Attenuation Coefficient in Optically Complex
Waters of Amazon Floodplain Lakes,
PandRS(170), 2020, pp. 72-87.
Elsevier DOI
2011
Turbid waters, Diffuse attenuation coefficient, Sentinel-2,
Complex waters, Atmospheric correction
BibRef
Ahn, J.H.[Jae-Hyun],
Park, Y.J.[Young-Je],
Estimating Water Reflectance at Near-Infrared Wavelengths for Turbid
Water Atmospheric Correction: A Preliminary Study for GOCI-II,
RS(12), No. 22, 2020, pp. xx-yy.
DOI Link
2011
BibRef
Niroumand-Jadidi, M.[Milad],
Bovolo, F.[Francesca],
Bruzzone, L.[Lorenzo],
Water Quality Retrieval from PRISMA Hyperspectral Images: First
Experience in a Turbid Lake and Comparison with Sentinel-2,
RS(12), No. 23, 2020, pp. xx-yy.
DOI Link
2012
BibRef
Shen, M.[Ming],
Wang, S.Y.[Si-Yuan],
Li, Y.K.[Ying-Kui],
Tang, M.F.[Mao-Feng],
Ma, Y.X.[Yuan-Xu],
Pattern of Turbidity Change in the Middle Reaches of the Yarlung
Zangbo River, Southern Tibetan Plateau, from 2007 to 2017,
RS(13), No. 2, 2021, pp. xx-yy.
DOI Link
2101
BibRef
Pyo, J.C.[Jong-Cheol],
Kwon, Y.S.[Yong Sung],
Ahn, J.H.[Jae-Hyun],
Baek, S.S.[Sang-Soo],
Kwon, Y.H.[Yong-Hwan],
Cho, K.H.[Kyung Hwa],
Sensitivity Analysis and Optimization of a Radiative Transfer
Numerical Model for Turbid Lake Water,
RS(13), No. 4, 2021, pp. xx-yy.
DOI Link
2103
BibRef
Gossn, J.I.[Juan Ignacio],
Frouin, R.[Robert],
Dogliotti, A.I.[Ana Inés],
Atmospheric Correction of Satellite Optical Imagery over the Río de
la Plata Highly Turbid Waters Using a SWIR-Based Principal Component
Decomposition Technique,
RS(13), No. 6, 2021, pp. xx-yy.
DOI Link
2104
BibRef
Rodríguez-López, L.[Lien],
Duran-Llacer, I.[Iongel],
González-Rodríguez, L.[Lisdelys],
Cardenas, R.[Rolando],
Urrutia, R.[Roberto],
Retrieving Water Turbidity in Araucanian Lakes (South-Central Chile)
Based on Multispectral Landsat Imagery,
RS(13), No. 16, 2021, pp. xx-yy.
DOI Link
2109
BibRef
Cartwright, P.J.[Paula J.],
Fearns, P.R.C.S.[Peter R. C. S.],
Branson, P.[Paul],
Cuttler, M.V.W.[Michael V. W.],
O'Leary, M.[Michael],
Browne, N.K.[Nicola K.],
Lowe, R.J.[Ryan J.],
Identifying Metocean Drivers of Turbidity Using 18 Years of MODIS
Satellite Data: Implications for Marine Ecosystems under Climate
Change,
RS(13), No. 18, 2021, pp. xx-yy.
DOI Link
2109
BibRef
Azad Hossain, A.K.M.,
Mathias, C.[Caleb],
Blanton, R.[Richard],
Remote Sensing of Turbidity in the Tennessee River Using Landsat 8
Satellite,
RS(13), No. 18, 2021, pp. xx-yy.
DOI Link
2109
BibRef
Xu, Y.Z.[Yu-Zhuang],
He, X.Q.[Xian-Qiang],
Bai, Y.[Yan],
Wang, D.F.[Di-Feng],
Zhu, Q.K.[Qian-Kun],
Ding, X.S.[Xiao-Song],
Evaluation of Remote-Sensing Reflectance Products from Multiple Ocean
Color Missions in Highly Turbid Water (Hangzhou Bay),
RS(13), No. 21, 2021, pp. xx-yy.
DOI Link
2112
BibRef
Chang, M.X.[Mao-Xiang],
Li, P.[Peng],
Sun, Y.[Yue],
Wang, H.J.[Hou-Jie],
Li, Z.H.[Zhen-Hong],
Mapping Dynamic Turbidity Maximum Zone of the Yellow River Estuary
from 38 Years of Landsat Imagery,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link
2208
BibRef
Nagayama, K.[Kazutaka],
Tonooka, H.[Hideyuki],
Prediction of the Area of High-Turbidity Water in the Yatsushiro Sea,
Japan, Using Machine Learning with Satellite, Meteorological, and
Oceanographic Data,
RS(15), No. 6, 2023, pp. 1652.
DOI Link
2304
BibRef
Wang, D.[Dian],
Xiang, X.Y.[Xiang-Yu],
Ma, R.H.[Rong-Hua],
Guo, Y.Q.[Yong-Qin],
Zhu, W.Y.[Wang-Yuan],
Wu, Z.H.[Zhi-Hao],
A Novel Atmospheric Correction for Turbid Water Remote Sensing,
RS(15), No. 8, 2023, pp. 2091.
DOI Link
2305
BibRef
Li, S.[Sijia],
Kutser, T.[Tiit],
Song, K.[Kaishan],
Liu, G.[Ge],
Li, Y.[Yong],
Lake Turbidity Mapping Using an OWTs-bp Based Framework and
Sentinel-2 Imagery,
RS(15), No. 10, 2023, pp. xx-yy.
DOI Link
2306
BibRef
Faria, B.[Bruna],
Mendes, R.[Renato],
Lopes, C.L.[Carina Lurdes],
Picado, A.[Ana],
Sousa, M.[Magda],
Dias, J.M.[João Miguel],
Insights for Sea Outfall Turbid Plume Monitoring with
High-Spatial-Resolution Satellite Imagery Application in Portugal,
RS(15), No. 13, 2023, pp. 3368.
DOI Link
2307
BibRef
Yang, Z.[Zhe],
Gong, C.[Cailan],
Lu, Z.H.[Zhi-Hua],
Wu, E.[Enuo],
Huai, H.Y.[Hong-Yan],
Hu, Y.[Yong],
Li, L.[Lan],
Dong, L.[Lei],
Combined Retrievals of Turbidity from Sentinel-2A/B and Landsat-8/9
in the Taihu Lake through Machine Learning,
RS(15), No. 17, 2023, pp. 4333.
DOI Link
2310
BibRef
Schulien, J.A.[Jennifer A.],
Code, T.[Tessa],
DeGasperi, C.[Curtis],
Beauchamp, D.A.[David A.],
Ellis, A.T.[Arielle Tonus],
Litt, A.H.[Arni H.],
Annual and Interannual Variability in the Diffuse Attenuation
Coefficient and Turbidity in Urbanized Washington Lake from 2013 to
2022 Assessed Using Landsat-8/9,
RS(15), No. 20, 2023, pp. 5055.
DOI Link
2310
BibRef
Praet, N.[Nore],
Collart, T.[Tim],
Ollevier, A.[Anouk],
Roche, M.[Marc],
Degrendele, K.[Koen],
de Rijcke, M.[Maarten],
Urban, P.[Peter],
Vandorpe, T.[Thomas],
The Potential of Multibeam Sonars as 3D Turbidity and SPM Monitoring
Tool in the North Sea,
RS(15), No. 20, 2023, pp. 4918.
DOI Link
2310
BibRef
Zhai, Y.H.[Ying-Hui],
Zhong, P.[Pu],
Duan, H.T.[Hong-Tao],
Zhang, D.[Dan],
Chen, X.[Xin],
Guo, X.J.[Xing-Jian],
Modeling of Suspended Particulate Matter Concentration in an
Extremely Turbid River Based on Multispectral Remote Sensing from an
Unmanned Aerial Vehicle (UAV),
RS(15), No. 22, 2023, pp. 5398.
DOI Link
2311
BibRef
Lee, J.S.[Jong-Seok],
Baek, J.Y.[Ji-Yeon],
Shin, J.[Jisun],
Kim, J.S.[Jae-Seong],
Jo, Y.H.[Young-Heon],
Suspended Sediment Concentration Estimation along Turbid Water
Outflow Using a Multispectral Camera on an Unmanned Aerial Vehicle,
RS(15), No. 23, 2023, pp. 5540.
DOI Link
2312
BibRef
Liu, J.X.[Jia-Xin],
Qiu, Z.F.[Zhong-Feng],
Feng, J.J.[Jia-Jun],
Wong, K.P.[Ka Po],
Tsou, J.Y.[Jin Yeu],
Wang, Y.[Yu],
Zhang, Y.Z.[Yuan-Zhi],
Monitoring Total Suspended Solids and Chlorophyll-a Concentrations in
Turbid Waters: A Case Study of the Pearl River Estuary and Coast
Using Machine Learning,
RS(15), No. 23, 2023, pp. 5559.
DOI Link
2312
BibRef
Eljaiek-Urzola, M.[Monica],
Sander-de Carvalho, L.A.[Lino Augusto],
Betancur-Turizo, S.P.[Stella Patricia],
Quiñones-Bolaños, E.[Edgar],
Castrillón-Ortiz, C.[Carlos],
Spatial Patterns of Turbidity in Cartagena Bay, Colombia, Using
Sentinel-2 Imagery,
RS(16), No. 1, 2024, pp. xx-yy.
DOI Link
2401
BibRef
Pak, H.Y.[Hui Ying],
Kieu, H.T.[Hieu Trung],
Lin, W.S.[Wei-Si],
Khoo, E.[Eugene],
Law, A.W.K.[Adrian Wing-Keung],
CoastalWQL: An Open-Source Tool for Drone-Based Mapping of Coastal
Turbidity Using Push Broom Hyperspectral Imagery,
RS(16), No. 4, 2024, pp. 708.
DOI Link
2402
BibRef
Fendereski, F.[Forough],
Creed, I.F.[Irena F.],
Trick, C.G.[Charles G.],
Remote Sensing of Chlorophyll-a in Clear vs. Turbid Waters in Lakes,
RS(16), No. 19, 2024, pp. 3553.
DOI Link
2410
BibRef
Li, H.[Hao],
He, X.Q.[Xian-Qiang],
Shanmugam, P.[Palanisamy],
Bai, Y.[Yan],
Jin, X.[Xuchen],
Wang, Z.H.[Zhi-Hong],
Zhang, Y.F.[Yi-Fan],
wang, D.[Difeng],
Gong, F.[Fang],
Zhao, M.[Min],
Atmospheric correction of geostationary ocean color imager data over
turbid coastal waters under high solar zenith angles,
PandRS(218), 2024, pp. 166-180.
Elsevier DOI
2412
Atmospheric correction, Geostationary satellite,
Ocean color remote sensing, High solar zenith angles, Coastal oceans
BibRef
Codevilla, F.[Felipe],
Gaya, J.D.O.[Joel De O.],
Filho, N.D.[Nelson Duarte],
Botelho, S.S.C.C.[Silvia S. C. Costa],
Achieving Turbidity Robustness on Underwater Images Local Feature
Detection,
BMVC15(xx-yy).
DOI Link
1601
BibRef
Chapter on Remote Sensing General Issue, Land Use, Land Cover continues in
Coastal Water Quality, Water Clarity .