22.1.6.61 Water Quality, Suspended Particulate Matter, Turbidity, Water Areas

Chapter Contents (Back)
Classification. Water Quality. Suspended Particulates. Turbidity. Color basis for ocean analysis: See also Ocean Color Analysis, Ocean Colour Analysis, Water Quality. See also Plankton Analysis, Extraction, Features, Small Scale and Large Scale. See also Cyanobacteria, Analysis, Detection.

Tehrani, N., d'Sa, E., Osburn, C., Bianchi, T., Schaeffer, B.,
Chromophoric Dissolved Organic Matter and Dissolved Organic Carbon from Sea-Viewing Wide Field-of-View Sensor (SeaWiFS), Moderate Resolution Imaging Spectroradiometer (MODIS) and MERIS Sensors: Case Study for the Northern Gulf of Mexico,
RS(5), No. 3, March 2013, pp. 1439-1464.
DOI Link 1304
BibRef

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

Sun, D., Li, Y., Wang, Q., Gao, J., Le, C., Huang, C., Gong, S.,
Hyperspectral Remote Sensing of the Pigment C-Phycocyanin in Turbid Inland Waters, Based on Optical Classification,
GeoRS(51), No. 7, 2013, pp. 3871-3884.
IEEE DOI 1307
Lakes 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
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Wu, G.F.[Guo-Feng], Cui, L.J.[Li-Juan], Duan, H.T.[Hong-Tao], Fei, T.[Teng], Liu, Y.L.[Yao-Lin],
An approach for developing Landsat-5 TM-based retrieval models of suspended particulate matter concentration with the assistance of MODIS,
PandRS(85), No. 1, 2013, pp. 84-92.
Elsevier DOI 1310
Water quality BibRef

Lee, Z., Weidemann, A., Arnone, R.,
Combined Effect of Reduced Band Number and Increased Bandwidth on Shallow Water Remote Sensing: The Case of WorldView 2,
GeoRS(51), No. 5, May 2013, pp. 2577-2586.
IEEE DOI 1305
BibRef

Chen, J.[Jun], Cui, T.W.[Ting-Wei], Qiu, Z.F.[Zhong-Feng], Lin, C.S.[Chang-Song],
A three-band semi-analytical model for deriving total suspended sediment concentration from HJ-1A/CCD data in turbid coastal waters,
PandRS(93), No. 1, 2014, pp. 1-13.
Elsevier DOI 1407
Remote sensing BibRef

Tian, L.Q.[Li-Qiao], Wai, O.W.H.[Onyx W. H.], Chen, X.L.[Xiao-Ling], Liu, Y.H.[Yao-Hui], Feng, L.[Lian], Li, J.[Jian], Huang, J.[Jue],
Assessment of Total Suspended Sediment Distribution under Varying Tidal Conditions in Deep Bay: Initial Results from HJ-1A/1B Satellite CCD Images,
RS(6), No. 10, 2014, pp. 9911-9929.
DOI Link 1411
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Ogashawara, I.[Igor], Moreno-Madrińán, M.J.[Max J.],
Improving Inland Water Quality Monitoring through Remote Sensing Techniques,
IJGI(3), No. 4, 2014, pp. 1234-1255.
DOI Link 1412
BibRef

Chen, S.[Shuisen], Han, L.[Liusheng], Chen, X.[Xiuzhi], Li, D.[Dan], Sun, L.[Lin], Li, Y.[Yong],
Estimating wide range Total Suspended Solids concentrations from MODIS 250-m imageries: An improved method,
PandRS(99), No. 1, 2015, pp. 58-69.
Elsevier DOI 1502
Remote sensing BibRef

Li, J.[Jian], Chen, X.L.[Xiao-Ling], Tian, L.[Liqiao], Huang, J.[Jue], Feng, L.[Lian],
Improved capabilities of the Chinese high-resolution remote sensing satellite GF-1 for monitoring suspended particulate matter (SPM) in inland waters: Radiometric and spatial considerations,
PandRS(106), No. 1, 2015, pp. 145-156.
Elsevier DOI 1507
GF-1 BibRef

Kong, J.L.[Jin-Ling], Sun, X.M.[Xiao-Ming], Wong, D.W.[David W.], Chen, Y.[Yan], Yang, J.[Jing], Yan, Y.[Ying], Wang, L.X.[Li-Xia],
A Semi-Analytical Model for Remote Sensing Retrieval of Suspended Sediment Concentration in the Gulf of Bohai, China,
RS(7), No. 5, 2015, pp. 5373-5397.
DOI Link 1506
BibRef

Liu, D.[Dong], Pan, D.[Delu], Bai, Y.[Yan], He, X.Q.[Xian-Qiang], Wang, D.F.[Di-Feng], Wei, J.A.[Ji-An], Zhang, L.[Lin],
Remote Sensing Observation of Particulate Organic Carbon in the Pearl River Estuary,
RS(7), No. 7, 2015, pp. 8683.
DOI Link 1506
BibRef

Gernez, P.[Pierre], Lafon, V.[Virginie], Lerouxel, A.[Astrid], Curti, C.[Cécile], Lubac, B.[Bertrand], Cerisier, S.[Sylvain], Barillé, L.[Laurent],
Toward Sentinel-2 High Resolution Remote Sensing of Suspended Particulate Matter in Very Turbid Waters: SPOT4 (Take5) Experiment in the Loire and Gironde Estuaries,
RS(7), No. 8, 2015, pp. 9507.
DOI Link 1509
BibRef

Liu, X.H.[Xiao-Han], Zhang, Y.L.[Yun-Lin], Shi, K.[Kun], Zhou, Y.Q.[Yong-Qiang], Tang, X.M.[Xiang-Ming], Zhu, G.W.[Guang-Wei], Qin, B.Q.[Bo-Qiang],
Mapping Aquatic Vegetation in a Large, Shallow Eutrophic Lake: A Frequency-Based Approach Using Multiple Years of MODIS Data,
RS(7), No. 8, 2015, pp. 10295.
DOI Link 1509
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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

Zheng, Z.B.[Zhu-Bin], Li, Y.M.[Yun-Mei], Guo, Y.L.[Yu-Long], Xu, Y.F.[Yi-Fan], Liu, G.[Ge], Du, C.G.[Cheng-Gong],
Landsat-Based Long-Term Monitoring of Total Suspended Matter Concentration Pattern Change in the Wet Season for Dongting Lake, China,
RS(7), No. 10, 2015, pp. 13975.
DOI Link 1511
BibRef

Joshi, I.[Ishan], d'Sa, E.J.[Eurico J.],
Seasonal Variation of Colored Dissolved Organic Matter in Barataria Bay, Louisiana, Using Combined Landsat and Field Data,
RS(7), No. 9, 2015, pp. 12478.
DOI Link 1511
BibRef

Shen, Q.[Qian], Li, J.[Junsheng], Zhang, F.F.[Fang-Fang], Sun, X.[Xu], Li, J.[Jun], Li, W.[Wei], Zhang, B.[Bing],
Classification of Several Optically Complex Waters in China Using in Situ Remote Sensing Reflectance,
RS(7), No. 11, 2015, pp. 14731.
DOI Link 1512
BibRef

Bramante, J.F.[James F.], Sin, T.M.[Tsai Min],
Optimization of a Semi-Analytical Algorithm for Multi-Temporal Water Quality Monitoring in Inland Waters with Wide Natural Variability,
RS(7), No. 12, 2015, pp. 15845.
DOI Link 1601
BibRef

Ampe, E.M., Raymaekers, D., Hestir, E.L., Jansen, M., Knaeps, E., Batelaan, O.,
A Wavelet-Enhanced Inversion Method for Water Quality Retrieval From High Spectral Resolution Data for Complex Waters,
GeoRS(53), No. 2, February 2015, pp. 869-882.
IEEE DOI 1411
hydrological techniques BibRef

Feng, Y., Liu, Q., Qu, Y., Liang, S.,
Estimation of the Ocean Water Albedo From Remote Sensing and Meteorological Reanalysis Data,
GeoRS(54), No. 2, February 2016, pp. 850-868.
IEEE DOI 1601
Biological system modeling BibRef

Lu, H.M.[Hui-Min], Li, Y.[Yujie], 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
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Han, B.[Bing], Loisel, H.[Hubert], Vantrepotte, V.[Vincent], Mériaux, X.[Xavier], Bryčre, P.[Philippe], Ouillon, S.[Sylvain], Dessailly, D.[David], Xing, Q.[Qianguo], Zhu, J.H.[Jian-Hua],
Development of a Semi-Analytical Algorithm for the Retrieval of Suspended Particulate Matter from Remote Sensing over Clear to Very Turbid Waters,
RS(8), No. 3, 2016, pp. 211.
DOI Link 1604
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

Poupardin, A., Idier, D., de Michele, M., Raucoules, D.,
Water Depth Inversion From a Single SPOT-5 Dataset,
GeoRS(54), No. 4, April 2016, pp. 2329-2342.
IEEE DOI 1604
Correlation BibRef

Kaabi, M.R.A.[Muna. R. Al], Zhao, J.[Jun], Ghedira, H.[Hosni],
MODIS-Based Mapping of Secchi Disk Depth Using a Qualitative Algorithm in the Shallow Arabian Gulf,
RS(8), No. 5, 2016, pp. 423.
DOI Link 1606
BibRef

Ko, D.S.[Dong S.], Gould, R.W.[Richard W.], Penta, B.[Bradley], Lehrter, J.C.[John C.],
Impact of Satellite Remote Sensing Data on Simulations of Coastal Circulation and Hypoxia on the Louisiana Continental Shelf,
RS(8), No. 5, 2016, pp. 435.
DOI Link 1606
BibRef

Kutser, T.[Tiit], Paavel, B.[Birgot], Verpoorter, C.[Charles], Ligi, M.[Martin], Soomets, T.[Tuuli], Toming, K.[Kaire], Casal, G.[Gema],
Remote Sensing of Black Lakes and Using 810 nm Reflectance Peak for Retrieving Water Quality Parameters of Optically Complex Waters,
RS(8), No. 6, 2016, pp. 497.
DOI Link 1608
BibRef

Kutser, T.[Tiit], Paavel, B.[Birgot], Verpoorter, C.[Charles], Kauer, T., Vahtmäe, E.,
Remote Sensing Of Water Quality In Optically Complex Lakes,
ISPRS12(XXXIX-B8:165-169).
DOI Link 1209
BibRef

Zolfaghari, K.[Kiana], Duguay, C.R.[Claude R.],
Estimation of Water Quality Parameters in Lake Erie from MERIS Using Linear Mixed Effect Models,
RS(8), No. 6, 2016, pp. 473.
DOI Link 1608
BibRef

Tan, J.[Jing], Cherkauer, K.A.[Keith A.], Chaubey, I.[Indrajeet],
Developing a Comprehensive Spectral-Biogeochemical Database of Midwestern Rivers for Water Quality Retrieval Using Remote Sensing Data: A Case Study of the Wabash River and Its Tributary, Indiana,
RS(8), No. 6, 2016, pp. 517.
DOI Link 1608
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Dorji, P.[Passang], Fearns, P.[Peter], Broomhall, M.[Mark],
A Semi-Analytic Model for Estimating Total Suspended Sediment Concentration in Turbid Coastal Waters of Northern Western Australia Using MODIS-Aqua 250 m Data,
RS(8), No. 7, 2016, pp. 556.
DOI Link 1608
BibRef

Dorji, P.[Passang], Fearns, P.[Peter],
A Quantitative Comparison of Total Suspended Sediment Algorithms: A Case Study of the Last Decade for MODIS and Landsat-Based Sensors,
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DOI Link 1609
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de Lucia Lobo, F.[Felipe], Costa, M.[Maycira], de Moraes Novo, E.M.L.[Evlyn Márcia Leăo], Telmer, K.[Kevin],
Distribution of Artisanal and Small-Scale Gold Mining in the Tapajós River Basin (Brazilian Amazon) over the Past 40 Years and Relationship with Water Siltation,
RS(8), No. 7, 2016, pp. 579.
DOI Link 1608
BibRef

de Lucia Lobo, F.[Felipe], Costa, M.[Maycira], de Moraes Novo, E.M.L.[Evlyn Márcia Leăo], Telmer, K.[Kevin],
Effects of Small-Scale Gold Mining Tailings on the Underwater Light Field in the Tapajós River Basin, Brazilian Amazon,
RS(9), No. 8, 2017, pp. xx-yy.
DOI Link 1708
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Toming, K.[Kaire], Kutser, T.[Tiit], Laas, A.[Alo], Sepp, M.[Margot], Paavel, B.[Birgot], Nőges, T.[Tiina],
First Experiences in Mapping Lake Water Quality Parameters with Sentinel-2 MSI Imagery,
RS(8), No. 8, 2016, pp. 640.
DOI Link 1609
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Liu, Y.C.[Ya-Chi], Hwang, C.[Cheinway], Han, J.C.[Jian-Cheng], Kao, R.[Ricky], Wu, C.R.[Chau-Ron], Shih, H.C.[Hsuan-Chang], Tangdamrongsub, N.[Natthachet],
Sediment-Mass Accumulation Rate and Variability in the East China Sea Detected by GRACE,
RS(8), No. 9, 2016, pp. 777.
DOI Link 1610
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Wang, S.Q.[Sheng-Qiang], Huan, Y.[Yu], Qiu, Z.F.[Zhong-Feng], Sun, D.Y.[De-Yong], Zhang, H.L.[Hai-Long], Zheng, L.F.[Lu-Fei], Xiao, C.[Cong],
Remote Sensing of Particle Cross-Sectional Area in the Bohai Sea and Yellow Sea: Algorithm Development and Application Implications,
RS(8), No. 10, 2016, pp. 841.
DOI Link 1609
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Tang, Q.[Qiong], Wang, S.Q.[Sheng-Qiang], Qiu, Z.F.[Zhong-Feng], Sun, D.[Deyong], Bilal, M.[Muhammad],
Variability of the Suspended Particle Cross-Sectional Area in the Bohai Sea and Yellow Sea,
RS(11), No. 10, 2019, pp. xx-yy.
DOI Link 1906
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Qiu, Z.F.[Zhong-Feng], Sun, D.Y.[De-Yong], Hu, C.M.[Chuan-Min], Wang, S.Q.[Sheng-Qiang], Zheng, L.[Lufei], Huan, Y.[Yu], Peng, T.[Tian],
Variability of Particle Size Distributions in the Bohai Sea and the Yellow Sea,
RS(8), No. 11, 2016, pp. 949.
DOI Link 1612
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Xiao, C.[Cong], Sun, D.Y.[De-Yong], Wang, S.Q.[Sheng-Qiang], Qiu, Z.F.[Zhong-Feng], Huan, Y.[Yu], Zhang, J.B.[Jia-Bao],
Long-Term Changes in Colored Dissolved Organic Matter from Satellite Observations in the Bohai Sea and North Yellow Sea,
RS(10), No. 5, 2018, pp. xx-yy.
DOI Link 1806
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Watanabe, F.[Fernanda], Mishra, D.R.[Deepak R.], Astuti, I.[Ike], Rodrigues, T.[Thanan], Alcântara, E.[Enner], Imai, N.N.[Nilton N.], Barbosa, C.[Cláudio],
Parametrization and calibration of a quasi-analytical algorithm for tropical eutrophic waters,
PandRS(121), No. 1, 2016, pp. 28-47.
Elsevier DOI 1609
Quasi-analytical algorithm BibRef

Herrault, P.A.[Pierre-Alexis], Gandois, L.[Laure], Gascoin, S.[Simon], Tananaev, N.[Nikita], Dantec, T.L.[Théo Le], Teisserenc, R.[Roman],
Using High Spatio-Temporal Optical Remote Sensing to Monitor Dissolved Organic Carbon in the Arctic River Yenisei,
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DOI Link 1609
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Di Polito, C.[Carmine], Ciancia, E.[Emanuele], Coviello, I.[Irina], Doxaran, D.[David], Lacava, T.[Teodosio], Pergola, N.[Nicola], Satriano, V.[Valeria], Tramutoli, V.[Valerio],
On the Potential of Robust Satellite Techniques Approach for SPM Monitoring in Coastal Waters: Implementation and Application over the Basilicata Ionian Coastal Waters Using MODIS-Aqua,
RS(8), No. 11, 2016, pp. 922.
DOI Link 1612
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Ma, J.H.[Jian-Hang], Song, K.[Kaishan], Wen, Z.[Zhidan], Zhao, Y.[Ying], Shang, Y.X.[Ying-Xin], Fang, C.[Chong], Du, J.[Jia],
Spatial Distribution of Diffuse Attenuation of Photosynthetic Active Radiation and Its Main Regulating Factors in Inland Waters of Northeast China,
RS(8), No. 11, 2016, pp. 964.
DOI Link 1612
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Tamari, S.[Serge], Guerrero-Meza, V.[Vicente], Rifad, Y.[Younčs], Bravo-Inclán, L.[Luis], Sánchez-Chávez, J.J.[José Javier],
Stage Monitoring in Turbid Reservoirs with an Inclined Terrestrial Near-Infrared Lidar,
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Song, K.[Kaishan], Ma, J.H.[Jian-Hang], Wen, Z.[Zhidan], 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

Novoa, S.[Stéfani], Doxaran, D.[David], Ody, A.[Anouck], Vanhellemont, Q.[Quinten], Lafon, V.[Virginie], Lubac, B.[Bertrand], Gernez, P.[Pierre],
Atmospheric Corrections and Multi-Conditional Algorithm for Multi-Sensor Remote Sensing of Suspended Particulate Matter in Low-to-High Turbidity Levels Coastal Waters,
RS(9), No. 1, 2017, pp. xx-yy.
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Markelin, L.[Lauri], Simis, S.G.H.[Stefan G. H.], Hunter, P.D.[Peter D.], Spyrakos, E.[Evangelos], Tyler, A.N.[Andrew N.], Clewley, D.[Daniel], Groom, S.[Steve],
Atmospheric Correction Performance of Hyperspectral Airborne Imagery over a Small Eutrophic Lake under Changing Cloud Cover,
RS(9), No. 1, 2017, pp. xx-yy.
DOI Link 1702
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Vadakke-Chanat, S., Shanmugam, P., Ahn, Y.H.,
A Model for Deriving the Spectral Backscattering Properties of Particles in Inland and Marine Waters From In Situ and Remote Sensing Data,
GeoRS(55), No. 3, March 2017, pp. 1461-1476.
IEEE DOI 1703
Absorption BibRef

Chen, J., Zhu, W.N., Tian, Y.Q., Yu, Q.,
Estimation of Colored Dissolved Organic Matter From Landsat-8 Imagery for Complex Inland Water: Case Study of Lake Huron,
GeoRS(55), No. 4, April 2017, pp. 2201-2212.
IEEE DOI 1704
lakes BibRef

Li, C., Li, X., Zhang, G., Boswell, K.M., Kimball, M.E., Shen, D., Lin, J.,
Estuarine Plume: A Case Study by Satellite SAR Observations and In Situ Measurements,
GeoRS(55), No. 4, April 2017, pp. 2276-2287.
IEEE DOI 1704
lakes 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,
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Zhou, X.C.[Xiao-Chi], Marani, M.[Marco], Albertson, J.D.[John D.], Silvestri, S.[Sonia],
Hyperspectral and Multispectral Retrieval of Suspended Sediment in Shallow Coastal Waters Using Semi-Analytical and Empirical Methods,
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Li, J.[Jiwei], Yu, Q.[Qian], Tian, Y.Q.[Yong Q.], Becker, B.L.[Brian L.],
Remote sensing estimation of colored dissolved organic matter (CDOM) in optically shallow waters,
PandRS(128), No. 1, 2017, pp. 98-110.
Elsevier DOI 1706
CDOM BibRef

Hansen, C.H.[Carly Hyatt], Burian, S.J.[Steven J.], Dennison, P.E.[Philip E.], Williams, G.P.[Gustavious P.],
Spatiotemporal Variability of Lake Water Quality in the Context of Remote Sensing Models,
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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

Zhao, J.[Jianhu], Zhao, X.L.[Xing-Lei], Zhang, H.M.[Hong-Mei], Zhou, F.N.[Feng-Nian],
Shallow Water Measurements Using a Single Green Laser Corrected by Building a Near Water Surface Penetration Model,
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von Borstel Luna, F.D.[Fernando D.], de la Rosa Aguilar, E.[Edgar], Suárez Naranjo, J.[Jaime], Gutiérrez Jagüey, J.[Joaquín],
Robotic System for Automation of Water Quality Monitoring and Feeding in Aquaculture Shadehouse,
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IEEE DOI 1706
Aquaculture, Internet, Monitoring, Object oriented modeling, Robot sensing systems, Unified modeling language, Aquaculture shadehouse, Internet robotic system, Petri nets (PNs), event-based control theory, feeding devices, unified modeling language (UML), water, quality, monitoring BibRef

Pyo, J.[Jong_Cheol], Pachepsky, Y.[Yakov], Baek, S.S.[Sang-Soo], Kwon, Y.[Yong_Seong], Kim, M.[Min_Jeong], Lee, H.[Hyuk], Park, S.[Sanghyun], Cha, Y.[Yoon_Kyung], Ha, R.[Rim], Nam, G.[Gibeom], Park, Y.[Yongeun], Cho, K.H.[Kyung Hwa],
Optimizing Semi-Analytical Algorithms for Estimating Chlorophyll-a and Phycocyanin Concentrations in Inland Waters in Korea,
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Salem, S.I.[Salem Ibrahim], Higa, H.[Hiroto], Kim, H.J.[Hyung-Jun], Kazuhiro, K.[Komatsu], Kobayashi, H.[Hiroshi], Oki, K.[Kazuo], Oki, T.[Taikan],
Multi-Algorithm Indices and Look-Up Table for Chlorophyll-a Retrieval in Highly Turbid Water Bodies Using Multispectral Data,
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Huang, C.[Changchun], Jiang, Q.[Quanliang], Yao, L.[Ling], Li, Y.M.[Yun-Mei], Yang, H.[Hao], Huang, T.[Tao], Zhang, M.L.[Ming-Li],
Spatiotemporal Variation in Particulate Organic Carbon Based on Long-Term MODIS Observations in Taihu Lake, China,
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Moknatian, M.[Mahrokh], Piasecki, M.[Michael], Gonzalez, J.[Jorge],
Development of Geospatial and Temporal Characteristics for Hispaniola's Lake Azuei and Enriquillo Using Landsat Imagery,
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Liu, H.Z.[Hui-Zeng], Li, Q.Q.[Qing-Quan], Shi, T.Z.[Tie-Zhu], Hu, S.[Shuibo], Wu, G.F.[Guo-Feng], Zhou, Q.M.[Qi-Ming],
Application of Sentinel 2 MSI Images to Retrieve Suspended Particulate Matter Concentrations in Poyang Lake,
RS(9), No. 7, 2017, pp. xx-yy.
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Jorge, D.S.F.[Daniel S.F.], Barbosa, C.C.F.[Claudio C.F.], de Carvalho, L.A.S.[Lino A. S.], Affonso, A.G.[Adriana G.], de Lucia Lobo, F.[Felipe], de Moraes Novo, E.M.L.[Evlyn Márcia Leăo],
SNR (Signal-To-Noise Ratio) Impact on Water Constituent Retrieval from Simulated Images of Optically Complex Amazon Lakes,
RS(9), No. 7, 2017, pp. xx-yy.
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Zhang, Y.L.[Yun-Lin], Giardino, C.[Claudia], Li, L.H.[Lin-Hai],
Water Optics and Water Colour Remote Sensing,
RS(9), No. 8, 2017, pp. xx-yy.
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Ni, S.N.[Sheng-Nan], Chen, J.L.[Jian-Li], Wilson, C.R.[Clark R.], Hu, X.G.[Xiao-Gong],
Long-Term Water Storage Changes of Lake Volta from GRACE and Satellite Altimetry and Connections with Regional Climate,
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Huang, C.[Changchun], Yao, L.[Ling],
Semi-Analytical Retrieval of the Diffuse Attenuation Coefficient in Large and Shallow Lakes from GOCI, a High Temporal-Resolution Satellite,
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Shrestha, A.[Anil], Luo, W.[Wei],
Analysis of Groundwater Nitrate Contamination in the Central Valley: Comparison of the Geodetector Method, Principal Component Analysis and Geographically Weighted Regression,
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Shrestha, A.[Anil], Luo, W.[Wei],
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Toming, K.[Kaire], Kutser, T.[Tiit], Uiboupin, R.[Rivo], Arikas, A.[Age], Vahter, K.[Kaimo], Paavel, B.[Birgot],
Mapping Water Quality Parameters with Sentinel-3 Ocean and Land Colour Instrument imagery in the Baltic Sea,
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DOI Link 1711
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Fischer, A.M.[Andrew M.], Pang, D.[Daniel], Kidd, I.M.[Ian M.], Moreno-Madrińán, 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

Nazeer, M.[Majid], Waqas, A.[Ahmad], Bilal, M.[Muhammad], Shahzad, M.I.[Muhammad Imran], Alsahli, M.M.M.[Mohammad M. M.],
Evaluation of Empirical and Machine Learning Algorithms for Estimation of Coastal Water Quality Parameters,
IJGI(6), No. 11, 2017, pp. xx-yy.
DOI Link 1712
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Wang, Y.[Yongchao], Shen, F.[Fang], Sokoletsky, L.[Leonid], Sun, X.[Xuerong],
Validation and Calibration of QAA Algorithm for CDOM Absorption Retrieval in the Changjiang (Yangtze) Estuarine and Coastal Waters,
RS(9), No. 11, 2017, pp. xx-yy.
DOI Link 1712
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Gunaalan, K.[Kuddithamby], Ranagalage, M.[Manjula], Gunarathna, M.H.J.P.[M. H. J. P.], Kumari, M.K.N., Vithanage, M.[Meththika], Srivaratharasan, T.[Tharmalingam], Saravanan, S.[Suntharalingam], Warnasuriya, T.W.S.,
Application of Geospatial Techniques for Groundwater Quality and Availability Assessment: A Case Study in Jaffna Peninsula, Sri Lanka,
IJGI(7), No. 1, 2018, pp. xx-yy.
DOI Link 1801
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Robert, E.[Elodie], Kergoat, L.[Laurent], Soumaguel, N.[Nogmana], Merlet, S.[Sébastien], Martinez, J.M.[Jean-Michel], Diawara, M.[Mamadou], Grippa, M.[Manuela],
Analysis of Suspended Particulate Matter and Its Drivers in Sahelian Ponds and Lakes by Remote Sensing (Landsat and MODIS): Gourma Region, Mali,
RS(9), No. 12, 2017, pp. xx-yy.
DOI Link 1802
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Renosh, P.R.[Pannimpullath R.], Jourdin, F.[Frédéric], Charantonis, A.A.[Anastase A.], Yala, K.[Khalil], Rivier, A.[Aurélie], Badran, F.[Fouad], Thiria, S.[Sylvie], Guillou, N.[Nicolas], Leckler, F.[Fabien], Gohin, F.[Francis], Garlan, T.[Thierry],
Construction of Multi-Year Time-Series Profiles of Suspended Particulate Inorganic Matter Concentrations Using Machine Learning Approach,
RS(9), No. 12, 2017, pp. xx-yy.
DOI Link 1802
BibRef

Miralha, L.[Lorrayne], Kim, D.[Daehyun],
Accounting for and Predicting the Influence of Spatial Autocorrelation in Water Quality Modeling,
IJGI(7), No. 2, 2018, pp. xx-yy.
DOI Link 1802
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Powers, C.[Craig], Hanlon, R.[Regina], Schmale, D.G.[David G.],
Tracking of a Fluorescent Dye in a Freshwater Lake with an Unmanned Surface Vehicle and an Unmanned Aircraft System,
RS(10), No. 1, 2018, pp. xx-yy.
DOI Link 1802
BibRef

Rauhala, A.[Anssi], Tuomela, A.[Anne], Davids, C.[Corine], Rossi, P.M.[Pekka M.],
UAV Remote Sensing Surveillance of a Mine Tailings Impoundment in Sub-Arctic Conditions,
RS(9), No. 12, 2017, pp. xx-yy.
DOI Link 1802
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Shen, M.[Ming], Duan, H.T.[Hong-Tao], Cao, Z.G.[Zhi-Gang], Xue, K.[Kun], Loiselle, S.[Steven], Yesou, H.[Herve],
Determination of the Downwelling Diffuse Attenuation Coefficient of Lake Water with the Sentinel-3A OLCI,
RS(9), No. 12, 2017, pp. xx-yy.
DOI Link 1802
BibRef

Zhao, X.L.[Xing-Lei], Zhao, J.H.[Jian-Hu], Zhang, H.M.[Hong-Mei], Zhou, F.N.[Feng-Nian],
Remote Sensing of Suspended Sediment Concentrations Based on the Waveform Decomposition of Airborne LiDAR Bathymetry,
RS(10), No. 2, 2018, pp. xx-yy.
DOI Link 1804
BibRef

Zhao, X.L.[Xing-Lei], Zhao, J.H.[Jian-Hu], Zhang, H.M.[Hong-Mei], Zhou, F.N.[Feng-Nian],
Remote Sensing of Sub-Surface Suspended Sediment Concentration by Using the Range Bias of Green Surface Point of Airborne LiDAR Bathymetry,
RS(10), No. 5, 2018, pp. xx-yy.
DOI Link 1806
BibRef

Zhou, Q.[Qu], Tian, L.Q.[Li-Qiao], Wai, O.W.H.[Onyx W. H.], Li, J.[Jian], Sun, Z.H.[Zhao-Hua], Li, W.[Wenkai],
Impacts of Insufficient Observations on the Monitoring of Short- and Long-Term Suspended Solids Variations in Highly Dynamic Waters, and Implications for an Optimal Observation Strategy,
RS(10), No. 2, 2018, pp. xx-yy.
DOI Link 1804
BibRef

Pan, Y.Q.[Yan-Qun], Shen, F.[Fang], Wei, X.D.[Xiao-Dao],
Fusion of Landsat-8/OLI and GOCI Data for Hourly Mapping of Suspended Particulate Matter at High Spatial Resolution: A Case Study in the Yangtze (Changjiang) Estuary,
RS(10), No. 2, 2018, pp. xx-yy.
DOI Link 1804
BibRef

Shi, W.[Wei], Zhang, Y.L.[Yun-Lin], Wang, M.H.[Meng-Hua],
Deriving Total Suspended Matter Concentration from the Near-Infrared-Based Inherent Optical Properties over Turbid Waters: A Case Study in Lake Taihu,
RS(10), No. 2, 2018, pp. xx-yy.
DOI Link 1804
BibRef

Shi, W.[Wei], Wang, M.H.[Meng-Hua], Zhang, Y.L.[Yun-Lin],
Inherent Optical Properties in Lake Taihu Derived from VIIRS Satellite Observations,
RS(11), No. 12, 2019, pp. xx-yy.
DOI Link 1907
BibRef

Liu, G., Simis, S.G.H., Li, L., Wang, Q., Li, Y., Song, K., Lyu, H., Zheng, Z., Shi, K.,
A Four-Band Semi-Analytical Model for Estimating Phycocyanin in Inland Waters From Simulated MERIS and OLCI Data,
GeoRS(56), No. 3, March 2018, pp. 1374-1385.
IEEE DOI 1804
calibration, hydrochemistry, hydrological techniques, microorganisms, organic compounds, remote sensing, turbidity, turbid inland waters 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

McCarthy, M.J.[Matthew J.], Otis, D.B.[Daniel B.], Méndez-Lázaro, P.[Pablo], Muller-Karger, F.E.[Frank E.],
Water Quality Drivers in 11 Gulf of Mexico Estuaries,
RS(10), No. 2, 2018, pp. xx-yy.
DOI Link 1804
BibRef

Göritz, A.[Anna], Berger, S.A.[Stella A.], Gege, P.[Peter], Grossart, H.P.[Hans-Peter], Nejstgaard, J.C.[Jens C.], Riedel, S.[Sebastian], Röttgers, R.[Rüdiger], Utschig, C.[Christian],
Retrieval of Water Constituents from Hyperspectral In-Situ Measurements under Variable Cloud Cover: A Case Study at Lake Stechlin (Germany),
RS(10), No. 2, 2018, pp. xx-yy.
DOI Link 1804
BibRef

Kratzer, S.[Susanne], Moore, G.[Gerald],
Inherent Optical Properties of the Baltic Sea in Comparison to Other Seas and Oceans,
RS(10), No. 3, 2018, pp. xx-yy.
DOI Link 1804
BibRef

Dvornikov, Y.[Yury], Leibman, M.[Marina], Heim, B.[Birgit], Bartsch, A.[Annett], Herzschuh, U.[Ulrike], Skorospekhova, T.[Tatiana], Fedorova, I.[Irina], Khomutov, A.[Artem], Widhalm, B.[Barbara], Gubarkov, A.[Anatoly], Rößler, S.[Sebastian],
Terrestrial CDOM in Lakes of Yamal Peninsula: Connection to Lake and Lake Catchment Properties,
RS(10), No. 2, 2018, pp. xx-yy.
DOI Link 1804
colored dissolved organic matter BibRef

van der Woerd, H.J.[Hendrik Jan], Wernand, M.R.[Marcel Robert],
Hue-Angle Product for Low to Medium Spatial Resolution Optical Satellite Sensors,
RS(10), No. 2, 2018, pp. xx-yy.
DOI Link 1804
Color for water quality analysis. BibRef

de Mendoza, F.P.[Francesco Paladini], Bonamano, S.[Simone], Martellucci, R.[Riccardo], Melchiorri, C.[Cristiano], Consalvi, N.[Natalizia], Piermattei, V.[Viviana], Marcelli, M.[Marco],
Circulation during Storms and Dynamics of Suspended Matter in a Sheltered Coastal Area,
RS(10), No. 4, 2018, pp. xx-yy.
DOI Link 1805
BibRef

Xu, J.[Jian], Fang, C.Y.[Chao-Yang], Gao, D.[Dan], Zhang, H.S.[Hong-Sheng], Gao, C.[Chen], Xu, Z.C.[Zhi-Chao], Wang, Y.Q.[Ye-Qiao],
Optical models for remote sensing of chromophoric dissolved organic matter (CDOM) absorption in Poyang Lake,
PandRS(142), 2018, pp. 124-136.
Elsevier DOI 1807
Chromophoric dissolved organic matter (CDOM), Field measured water reflectance, Retrieval model, Poyang Lake BibRef

Markogianni, V.[Vassiliki], Kalivas, D.[Dionissios], Petropoulos, G.P.[George P.], Dimitriou, E.[Elias],
An Appraisal of the Potential of Landsat 8 in Estimating Chlorophyll-a, Ammonium Concentrations and Other Water Quality Indicators,
RS(10), No. 7, 2018, pp. xx-yy.
DOI Link 1808
BibRef

Campos Gomes, A.C.[Ana Carolina], Bernardo, N.[Nariane], Coelho do Carmo, A.[Alisson], Rodrigues, T.[Thanan], Alcântara, E.[Enner],
Diffuse Attenuation Coefficient Retrieval in CDOM Dominated Inland Water with High Chlorophyll-a Concentrations,
RS(10), No. 7, 2018, pp. xx-yy.
DOI Link 1808
BibRef

Caballero, I.[Isabel], Steinmetz, F.[François], Navarro, G.[Gabriel],
Evaluation of the First Year of Operational Sentinel-2A Data for Retrieval of Suspended Solids in Medium- to High-Turbidity Waters,
RS(10), No. 7, 2018, pp. xx-yy.
DOI Link 1808
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

Li, H.X.[Hui-Xuan], Wang, C.Z.[Cui-Zhen], Huang, X.[Xiao], Hug, A.[Andrew],
Spatial Assessment of Water Quality with Urbanization in 2007-2015, Shanghai, China,
RS(10), No. 7, 2018, pp. xx-yy.
DOI Link 1808
BibRef

Hilton, A.E.[Annette E.], Bausell, J.T.[Jesse T.], Kudela, R.M.[Raphael M.],
Quantification of Polychlorinated Biphenyl (PCB) Concentration in San Francisco Bay Using Satellite Imagery,
RS(10), No. 7, 2018, pp. xx-yy.
DOI Link 1808
BibRef

Dorji, P.[Passang], Fearns, P.[Peter],
Atmospheric correction of geostationary Himawari-8 satellite data for Total Suspended Sediment mapping: A case study in the Coastal Waters of Western Australia,
PandRS(144), 2018, pp. 81-93.
Elsevier DOI 1809
Atmospheric correction, Total suspended sediments, Water quality, Landsat, MODIS, Geostationary satellite, Coastal water BibRef

Lehmann, M.K.[Moritz K.], Nguyen, U.[Uyen], Allan, M.[Mathew], van der Woerd, H.J.[Hendrik Jan],
Colour Classification of 1486 Lakes across a Wide Range of Optical Water Types,
RS(10), No. 8, 2018, pp. xx-yy.
DOI Link 1809
BibRef

Dettmering, D.[Denise], Wynne, A.[Alan], Müller, F.L.[Felix L.], Passaro, M.[Marcello], Seitz, F.[Florian],
Lead Detection in Polar Oceans: A Comparison of Different Classification Methods for Cryosat-2 SAR Data,
RS(10), No. 8, 2018, pp. xx-yy.
DOI Link 1809
BibRef

Yang, M.M.[Meng Meng], Ishizaka, J.[Joji], Goes, J.I.[Joaquim I.], do R. Gomes, H.[Helga], de Raús Maúre, E.[Elígio], Hayashi, M.[Masataka], Katano, T.[Toshiya], Fujii, N.[Naoki], Saitoh, K.[Katsuya], Mine, T.[Takayuki], Yamashita, H.[Hirokazu], Fujii, N.[Naoki], Mizuno, A.[Akiko],
Improved MODIS-Aqua Chlorophyll-a Retrievals in the Turbid Semi-Enclosed Ariake Bay, Japan,
RS(10), No. 9, 2018, pp. xx-yy.
DOI Link 1810
BibRef

Betancur-Turizo, S.P.[Stella Patricia], González-Silvera, A.[Adriana], Santamaría-del-Ángel, E.[Eduardo], Tan, J.[Jing], Frouin, R.[Robert],
Evaluation of Semi-Analytical Algorithms to Retrieve Particulate and Dissolved Absorption Coefficients in Gulf of California Optically Complex Waters,
RS(10), No. 9, 2018, pp. xx-yy.
DOI Link 1810
BibRef

Xu, X.[Xuan], Huang, X.[Xiaolong], Zhang, Y.[Yunlin], Yu, D.[Dan],
Long-Term Changes in Water Clarity in Lake Liangzi Determined by Remote Sensing,
RS(10), No. 9, 2018, pp. xx-yy.
DOI Link 1810
BibRef

Pahlevan, N.[Nima], Balasubramanian, S.V.[Sundarabalan V.], Sarkar, S.[Sudipta], Franz, B.A.[Bryan A.],
Toward Long-Term Aquatic Science Products from Heritage Landsat Missions,
RS(10), No. 9, 2018, pp. xx-yy.
DOI Link 1810
BibRef

DeLuca, N.M.[Nicole M.], Zaitchik, B.F.[Benjamin F.], Curriero, F.C.[Frank C.],
Can Multispectral Information Improve Remotely Sensed Estimates of Total Suspended Solids? A Statistical Study in Chesapeake Bay,
RS(10), No. 9, 2018, pp. xx-yy.
DOI Link 1810
BibRef

Rudorff, N.[Natalia], Rudorff, C.M.[Conrado M.], Kampel, M.[Milton], Ortiz, G.[Gustavo],
Remote sensing monitoring of the impact of a major mining wastewater disaster on the turbidity of the Doce River plume off the eastern Brazilian coast,
PandRS(145), 2018, pp. 349-361.
Elsevier DOI 1811
Mining wastewater disaster, River plume, Turbidity, Landsat, MODIS, Coastal remote sensing BibRef

Peterson, K.T.[Kyle T.], Sagan, V.[Vasit], Sidike, P.[Paheding], Cox, A.L.[Amanda L.], Martinez, M.[Megan],
Suspended Sediment Concentration Estimation from Landsat Imagery along the Lower Missouri and Middle Mississippi Rivers Using an Extreme Learning Machine,
RS(10), No. 10, 2018, pp. xx-yy.
DOI Link 1811
BibRef

Zorrilla, N.A.[Noelia Abascal], Vantrepotte, V.[Vincent], Gensac, E.[Erwan], Huybrechts, N.[Nicolas], Gardel, A.[Antoine],
The Advantages of Landsat 8-OLI-Derived Suspended Particulate Matter Maps for Monitoring the Subtidal Extension of Amazonian Coastal Mud Banks (French Guiana),
RS(10), No. 11, 2018, pp. xx-yy.
DOI Link 1812
BibRef

Pham, Q.V.[Quang Vinh], Ha, N.T.T.[Nguyen Thi Thu], Pahlevan, N.[Nima], Oanh, L.T.[La Thi], Nguyen, T.B.[Thanh Binh], Nguyen, N.T.[Ngoc Thang],
Using Landsat-8 Images for Quantifying Suspended Sediment Concentration in Red River (Northern Vietnam),
RS(10), No. 11, 2018, pp. xx-yy.
DOI Link 1812
BibRef

Tiwari, S.P., Sarma, Y.V.B., Kürten, B., Ouhssain, M., Jones, B.H.,
An Optical Algorithm to Estimate Downwelling Diffuse Attenuation Coefficient in the Red Sea,
GeoRS(56), No. 12, December 2018, pp. 7174-7182.
IEEE DOI 1812
Optical sensors, Optical attenuators, Sea measurements, Biomedical optical imaging, Oceans, Attenuation, Red Sea BibRef

Wang, D.F.[Di-Feng], Cui, Q.Y.[Qi-Yuan], Gong, F.[Fang], Wang, L.F.[Li-Fang], He, X.Q.[Xian-Qiang], Bai, Y.[Yan],
Satellite Retrieval of Surface Water Nutrients in the Coastal Regions of the East China Sea,
RS(10), No. 12, 2018, pp. xx-yy.
DOI Link 1901
BibRef

Huang, M.[Mutao], Tian, Y.[Yong],
An Integrated Graphic Modeling System for Three-Dimensional Hydrodynamic and Water Quality Simulation in Lakes,
IJGI(8), No. 1, 2019, pp. xx-yy.
DOI Link 1901
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Launeau, P.[Patrick], Giraud, M.[Manuel], Robin, M.[Marc], Baltzer, A.[Agnčs],
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

Li, N.[Na], Shi, K.[Kun], Zhang, Y.[Yunlin], Gong, Z.J.[Zhi-Jun], Peng, K.[Kai], Zhang, Y.[Yibo], Zha, Y.[Yong],
Decline in Transparency of Lake Hongze from Long-Term MODIS Observations: Possible Causes and Potential Significance,
RS(11), No. 2, 2019, pp. xx-yy.
DOI Link 1902
BibRef

Rivaro, P.[Paola], Ianni, C.[Carmela], Raimondi, L.[Lorenza], Manno, C.[Clara], Sandrini, S.[Silvia], Castagno, P.[Pasquale], Cotroneo, Y.[Yuri], Falco, P.[Pierpaolo],
Analysis of Physical and Biogeochemical Control Mechanisms on Summertime Surface Carbonate System Variability in the Western Ross Sea (Antarctica) Using In Situ and Satellite Data,
RS(11), No. 3, 2019, pp. xx-yy.
DOI Link 1902
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Vundo, A.[Augusto], Matsushita, B.[Bunkei], Jiang, D.[Dalin], Gondwe, M.[Mangaliso], Hamzah, R.[Rossi], Setiawan, F.[Fajar], Fukushima, T.[Takehiko],
An Overall Evaluation of Water Transparency in Lake Malawi from MERIS Data,
RS(11), No. 3, 2019, pp. xx-yy.
DOI Link 1902
BibRef

Caballero, I.[Isabel], Stumpf, R.P.[Richard P.], Meredith, A.[Andrew],
Preliminary Assessment of Turbidity and Chlorophyll Impact on Bathymetry Derived from Sentinel-2A and Sentinel-3A Satellites in South Florida,
RS(11), No. 6, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Cao, Y.Z.[Ying-Zhi], Wu, Y.C.[Yi-Chen], Fang, Z.X.[Zhi-Xiang], Cui, X.J.[Xiao-Jian], Liang, J.F.[Jian-Feng], Song, X.[Xiao],
Spatiotemporal Patterns and Morphological Characteristics of Ulva prolifera Distribution in the Yellow Sea, China in 2016-2018,
RS(11), No. 4, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Hafeez, S.[Sidrah], Wong, M.S.[Man Sing], Ho, H.C.[Hung Chak], Nazeer, M.[Majid], Nichol, J.[Janet], Abbas, S.[Sawaid], Tang, D.[Danling], Lee, K.H.[Kwon Ho], Pun, L.[Lilian],
Comparison of Machine Learning Algorithms for Retrieval of Water Quality Indicators in Case-II Waters: A Case Study of Hong Kong,
RS(11), No. 6, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Xu, Y.[Yifan], Qin, B.Q.[Bo-Qiang], Zhu, G.W.[Guang-Wei], Zhang, Y.L.[Yun-Lin], Shi, K.[Kun], Li, Y.M.[Yun-Mei], Shi, Y.[Yong], Chen, L.G.[Lian-Gang],
High Temporal Resolution Monitoring of Suspended Matter Changes from GOCI Measurements in Lake Taihu,
RS(11), No. 8, 2019, pp. xx-yy.
DOI Link 1905
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Cherif, E.K.[El Khalil], Salmoun, F.[Farida], Mesas-Carrascosa, F.J.[Francisco Javier],
Determination of Bathing Water Quality Using Thermal Images Landsat 8 on the West Coast of Tangier: Preliminary Results,
RS(11), No. 8, 2019, pp. xx-yy.
DOI Link 1905
BibRef

Batur, E., Maktav, D.,
Assessment of Surface Water Quality by Using Satellite Images Fusion Based on PCA Method in the Lake Gala, Turkey,
GeoRS(57), No. 5, May 2019, pp. 2983-2989.
IEEE DOI 1905
data mining, geophysical image processing, image fusion, lakes, mean square error methods, neural nets, water quality BibRef

Jiang, D.[Dalin], Matsushita, B.[Bunkei], Setiawan, F.[Fajar], Vundo, A.[Augusto],
An improved algorithm for estimating the Secchi disk depth from remote sensing data based on the new underwater visibility theory,
PandRS(152), 2019, pp. 13-23.
Elsevier DOI 1905
Secchi disk depth, Quasi-analytical algorithm, Remote sensing, Various waters, Hybrid BibRef

Cao, Z.G.[Zhi-Gang], Ma, R.H.[Rong-Hua], Duan, H.T.[Hong-Tao], Xue, K.[Kun],
Effects of broad bandwidth on the remote sensing of inland waters: Implications for high spatial resolution satellite data applications,
PandRS(153), 2019, pp. 110-122.
Elsevier DOI 1906
High spatial resolution, Optical sensors, Bandwidth, Inland waters, Deep neural network BibRef

Rani, M.[Meenu], Rehman, S.[Sufia], Sajjad, H.[Haroon], Alare, R.S.[Rahinatu Sidiki], Chaudhary, B.S., Patairiya, S.[Shashikanta], Rawat, J.S., Chetri, T.[Tilok], Patel, S.[Swagatika], Kumar, P.[Pavan],
NIR-red algorithms-based model for chlorophyll-a retrieval in highly turbid Inland Densu River Basin in South-East Ghana, West Africa,
IET-IPR(13), No. 8, 20 June 2019, pp. 1328-1332.
DOI Link 1906
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Wicaksono, P.[Pramaditya], Aryaguna, P.A.[Prama Ardha], Lazuardi, W.[Wahyu],
Benthic Habitat Mapping Model and Cross Validation Using Machine-Learning Classification Algorithms,
RS(11), No. 11, 2019, pp. xx-yy.
DOI Link 1906
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Jensen, D.[Daniel], Simard, M.[Marc], Cavanaugh, K.[Kyle], Sheng, Y.[Yongwei], Fichot, C.G.[Cédric G.], Pavelsky, T.[Tamlin], Twilley, R.[Robert],
Improving the Transferability of Suspended Solid Estimation in Wetland and Deltaic Waters with an Empirical Hyperspectral Approach,
RS(11), No. 13, 2019, pp. xx-yy.
DOI Link 1907
BibRef

Wei, L.[Lifei], Huang, C.[Can], Zhong, Y.F.[Yan-Fei], Wang, Z.[Zhou], Hu, X.[Xin], Lin, L.Q.[Li-Qun],
Inland Waters Suspended Solids Concentration Retrieval Based on PSO-LSSVM for UAV-Borne Hyperspectral Remote Sensing Imagery,
RS(11), No. 12, 2019, pp. xx-yy.
DOI Link 1907
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

Liu, R.[Rong], Wen, J.[Jun], Wang, X.[Xin], Wang, Z.L.[Zuo-Liang], Li, Z.C.[Zhen-Chao], Xie, Y.[Yan], Zhu, L.[Li], Li, D.P.[Dong-Peng],
Derivation of Vegetation Optical Depth and Water Content in the Source Region of the Yellow River using the FY-3B Microwave Data,
RS(11), No. 13, 2019, pp. xx-yy.
DOI Link 1907
BibRef

Lei, X.[Xia], Pan, J.[Jiayi], Devlin, A.T.[Adam T.],
Characteristics of Absorption Spectra of Chromophoric Dissolved Organic Matter in the Pearl River Estuary in Spring,
RS(11), No. 13, 2019, pp. xx-yy.
DOI Link 1907
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Li, J.[Junsheng], Yin, Z.[Ziyao], Lu, Z.[Zhaoyi], 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

Pu, F.L.[Fang-Ling], Ding, C.J.[Chu-Jiang], Chao, Z.Y.[Ze-Yi], Yu, Y.[Yue], Xu, X.[Xin],
Water-Quality Classification of Inland Lakes Using Landsat8 Images by Convolutional Neural Networks,
RS(11), No. 14, 2019, pp. xx-yy.
DOI Link 1908
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Maciel, D.[Daniel], Novo, E.[Evlyn], de Carvalho, L.S.[Lino Sander], Barbosa, C.[Cláudio], Júnior, R.F.[Rogério Flores], de Lucia Lobo, F.[Felipe],
Retrieving Total and Inorganic Suspended Sediments in Amazon Floodplain Lakes: A Multisensor Approach,
RS(11), No. 15, 2019, pp. xx-yy.
DOI Link 1908
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Russell, B.J.[Brandon J.], Dierssen, H.M.[Heidi M.], Hochberg, E.J.[Eric J.],
Water Column Optical Properties of Pacific Coral Reefs Across Geomorphic Zones and in Comparison to Offshore Waters,
RS(11), No. 15, 2019, pp. xx-yy.
DOI Link 1908
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Chen, P.[Peng], Pan, D.[Delu],
Ocean Optical Profiling in South China Sea Using Airborne LiDAR,
RS(11), No. 15, 2019, pp. xx-yy.
DOI Link 1908
BibRef

Shen, Q., Yao, Y., Li, J., Zhang, F., Wang, S., Wu, Y., Ye, H., Zhang, B.,
A CIE Color Purity Algorithm to Detect Black and Odorous Water in Urban Rivers Using High-Resolution Multispectral Remote Sensing Images,
GeoRS(57), No. 9, September 2019, pp. 6577-6590.
IEEE DOI 1909
Rivers, Image color analysis, Satellites, Remote sensing, Atmospheric measurements, Water pollution, Urban areas, water color BibRef

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Synergy of Satellite, In Situ and Modelled Data for Addressing the Scarcity of Water Quality Information for Eutrophication Assessment and Monitoring of Swedish Coastal Waters,
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DOI Link 1909
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The Influence of Signal to Noise Ratio of Legacy Airborne and Satellite Sensors for Simulating Next-Generation Coastal and Inland Water Products,
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Xiong, J.F.[Jun-Feng], Lin, C.[Chen], Ma, R.[Ronghua], Cao, Z.G.[Zhi-Gang],
Remote Sensing Estimation of Lake Total Phosphorus Concentration Based on MODIS: A Case Study of Lake Hongze,
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Liu, X.H.[Xiao-Han], Lee, Z.P.[Zhong-Ping], Zhang, Y.[Yunlin], Lin, J.F.[Jun-Fang], Shi, K.[Kun], Zhou, Y.Q.[Yong-Qiang], Qin, B.[Boqiang], Sun, Z.H.[Zhao-Hua],
Remote Sensing of Secchi Depth in Highly Turbid Lake Waters and Its Application with MERIS Data,
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DOI Link 1910
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Baek, J.Y.[Ji-Yeon], Jo, Y.H.[Young-Heon], Kim, W.[Wonkook], Lee, J.S.[Jong-Seok], Jung, D.[Dawoon], Kim, D.W.[Dae-Won], Nam, J.[Jungho],
A New Algorithm to Estimate Chlorophyll-A Concentrations in Turbid Yellow Sea Water Using a Multispectral Sensor in a Low-Altitude Remote Sensing System,
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Bernardo, N.[Nariane], do Carmo, A.[Alisson], Park, E.[Edward], Alcântara, E.[Enner],
Retrieval of Suspended Particulate Matter in Inland Waters with Widely Differing Optical Properties Using a Semi-Analytical Scheme,
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Uudeberg, K.[Kristi], Ansko, I.[Ilmar], Pőru, G.[Getter], Ansper, A.[Ave], Reinart, A.[Anu],
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Wei, L.[Lifei], Huang, C.[Can], Wang, Z.X.[Zheng-Xiang], Wang, Z.[Zhou], Zhou, X.[Xiaocheng], Cao, L.[Liqin],
Monitoring of Urban Black-Odor Water Based on Nemerow Index and Gradient Boosting Decision Tree Regression Using UAV-Borne Hyperspectral Imagery,
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Lee, S.[Shihyan], Meister, G.[Gerhard], Franz, B.[Bryan],
MODIS Aqua Reflective Solar Band Calibration for NASA's R2018 Ocean Color Products,
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Liu, D., Xu, P., Zhou, Y., Chen, W., Han, B., Zhu, X., He, Y., Mao, Z., Le, C., Chen, P., Che, H., Liu, Z., Liu, Q., Song, Q., Chen, S.,
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IEEE DOI 1911
Laser radar, Optical attenuators, Oceans, Optical sensors, Optical scattering, Sea measurements, Attenuation, simulation BibRef

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Analysis of the Optimal Wavelength for Oceanographic Lidar at the Global Scale Based on the Inherent Optical Properties of Water,
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Tran, T.K.[Trung Kien], Duforęt-Gaurier, L.[Lucile], Vantrepotte, V.[Vincent], Jorge, D.S.F.[Daniel Schaffer Ferreira], Mériaux, X.[Xavier], Cauvin, A.[Arnaud], d'Andon, O.F.[Odile Fanton], Loisel, H.[Hubert],
Deriving Particulate Organic Carbon in Coastal Waters from Remote Sensing: Inter-Comparison Exercise and Development of a Maximum Band-Ratio Approach,
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Soomets, T.[Tuuli], Uudeberg, K.[Kristi], Jakovels, D.[Dainis], Zagars, M.[Matiss], Reinart, A.[Anu], Brauns, A.[Agris], Kutser, T.[Tiit],
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Long-Term Change of the Secchi Disk Depth in Lake Maninjau, Indonesia Shown by Landsat TM and ETM+ Data,
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Niroumand-Jadidi, M., Bovolo, F., Bruzzone, L.,
Novel Spectra-Derived Features for Empirical Retrieval of Water Quality Parameters: Demonstrations for OLI, MSI, and OLCI Sensors,
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IEEE DOI 1912
Water, Optical sensors, Feature extraction, Optical imaging, Optical variables measurement, Image color analysis, water quality BibRef

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Environmental Reservoirs of Vibrio cholerae: Challenges and Opportunities for Ocean-Color Remote Sensing,
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Cao, Z.G.[Zhi-Gang], Ma, R.[Ronghua], Duan, H.T.[Hong-Tao], Xue, K.[Kun], Shen, M.[Ming],
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Mapping Water Quality Parameters in Urban Rivers from Hyperspectral Images Using a New Self-Adapting Selection of Multiple Artificial Neural Networks,
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Otto, P.[Peter], Vallejo-Rodríguez, R.[Ramiro], Keesstra, S.[Saskia], León-Becerril, E.[Elizabeth], de Anda, J.[José], Hernández-Mena, L.[Leonel], del Real-Olvera, J.[Jorge], de Jesús Díaz-Torres, J.[José],
Time Delay Evaluation on the Water-Leaving Irradiance Retrieved from Empirical Models and Satellite Imagery,
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Wang, L.H.[Lin-Hui], Yue, X.J.[Xue-Jun], Wang, H.[Huihui], Ling, K.[Kangjie], Liu, Y.X.[Yong-Xin], Wang, J.[Jian], Hong, J.[Jinbao], Pen, W.[Wen], Song, H.[Houbing],
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Li, X.J.[Xiao-Juan], Huang, M.[Mutao], Wang, R.H.[Rong-Hui],
Numerical Simulation of Donghu Lake Hydrodynamics and Water Quality Based on Remote Sensing and MIKE 21,
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Uudeberg, K.[Kristi], Aavaste, A.[Age], Kőks, K.L.[Kerttu-Liis], Ansper, A.[Ave], Uusőue, M.[Mirjam], Kangro, K.[Kersti], Ansko, I.[Ilmar], Ligi, M.[Martin], Toming, K.[Kaire], Reinart, A.[Anu],
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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,
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Hernández, W.J.[William J.], Ortiz-Rosa, S.[Suhey], Armstrong, R.A.[Roy A.], Geiger, E.F.[Erick F.], Eakin, C.M.[C. Mark], Warner, R.A.[Robert A.],
Quantifying the Effects of Hurricanes Irma and Maria on Coastal Water Quality in Puerto Rico using Moderate Resolution Satellite Sensors,
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Matysik, M.[Magdalena], Absalon, D.[Damian], Habel, M.[Michal], Maerker, M.[Michael],
Surface Water Quality Analysis Using CORINE Data: An Application to Assess Reservoirs in Poland,
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Xi, Y.X.[Yan-Xin], Ji, L.Y.[Lu-Yan], Geng, X.R.[Xiu-Rui],
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Peppa, M.[Maria], Vasilakos, C.[Christos], Kavroudakis, D.[Dimitris],
Eutrophication Monitoring for Lake Pamvotis, Greece, Using Sentinel-2 Data,
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Pereira, O.J.R.[Osvaldo J. R.], Merino, E.R.[Eder R.], Montes, C.R.[Célia R.], Barbiero, L.[Laurent], Rezende-Filho, A.T.[Ary T.], Lucas, Y.[Yves], Melfi, A.J.[Adolpho J.],
Estimating Water pH Using Cloud-Based Landsat Images for a New Classification of the Nhecolândia Lakes (Brazilian Pantanal),
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Renosh, P.R.[Pannimpullath Remanan], Doxaran, D.[David], de Keukelaere, L.[Liesbeth], Gossn, J.I.[Juan Ignacio],
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Cui, T.W., Zhang, J., Wang, K., Wei, J.W., Mu, B., Ma, Y., Zhu, J.H., Liu, R.J., Chen, X.Y.,
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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,
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Castro, C.C.[Carmen Cillero], Gómez, J.A.D.[Jose Antonio Domínguez], Martín, J.D.[Jordi Delgado], Sánchez, B.A.H.[Boris Alejandro Hinojo], Arango, J.L.C.[Jose Luis Cereijo], Tuya, F.A.C.[Federico Andrés Cheda], Díaz-Varela, R.[Ramon],
An UAV and Satellite Multispectral Data Approach to Monitor Water Quality in Small Reservoirs,
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Leal-Junior, A.G.[Arnaldo G.], Frizera, A.[Anselmo], Marques, C.[Carlos],
Low-cost Fiberoptic Probe for Ammonia Early Detection in Fish Farms,
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Arias-Rodriguez, L.F.[Leonardo F.], Duan, Z.[Zheng], Sepúlveda, R.[Rodrigo], Martinez-Martinez, S.I.[Sergio I.], Disse, M.[Markus],
Monitoring Water Quality of Valle de Bravo Reservoir, Mexico, Using Entire Lifespan of MERIS Data and Machine Learning Approaches,
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Pan, F.F.[Fei-Fei], Xi, X.H.[Xiao-Huan], Wang, C.[Cheng],
A Comparative Study of Water Indices and Image Classification Algorithms for Mapping Inland Surface Water Bodies Using Landsat Imagery,
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Malthus, T.J.[Tim J.], Ohmsen, R.[Renee], van der Woerd, H.J.[Hendrik J.],
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Son, S.H.[Seung-Hyun], Wang, M.[Menghua],
Water Quality Properties Derived from VIIRS Measurements in the Great Lakes,
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Luo, J.[Juhua], Pu, R.L.[Rui-Liang], Ma, R.[Ronghua], Wang, X.[Xiaolong], Lai, X.[Xijun], Mao, Z.G.[Zhi-Gang], Zhang, L.[Li], Peng, Z.[Zhaoliang], Sun, Z.[Zhe],
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Seidel, M.[Michael], Hutengs, C.[Christopher], Oertel, F.[Felix], Schwefel, D.[Daniel], Jung, A.[András], Vohland, M.[Michael],
Underwater Use of a Hyperspectral Camera to Estimate Optically Active Substances in the Water Column of Freshwater Lakes,
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Cai, L.[Lina], Zhou, M.[Minrui], Liu, J.[Jianqiang], Tang, D.[Danling], Zuo, J.[Juncheng],
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Liu, Y.[Yao], Xiao, C.[Chenchao], Li, J.[Junsheng], Zhang, F.F.[Fang-Fang], Wang, S.[Shenglei],
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Kim, W.[Wonkook], Jung, S.[Sunghun], Moon, Y.[Yongseon], Mangum, S.C.[Stephen C.],
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Rosero-Montalvo, P.D.[Paul D.], López-Batista, V.F.[Vivian F.], Riascos, J.A.[Jaime A.], Peluffo-Ordóńez, D.H.[Diego H.],
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Elsevier DOI 2006
Sensors, Machine learning, Pattern recognition, Water monitoring, Classification, Pollutant detection BibRef

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PCA, Evolutionary algorithms, Sensors, Water contamination BibRef

Chu, Q.[Qiao], Zhang, Y.[Yuchao], Ma, R.[Ronghua], Hu, M.[Minqi], Jing, Y.Y.[Yuan-Yuan],
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Tian, L.Q.[Li-Qiao], Sun, X.H.[Xiang-Han], Li, J.[Jian], Xing, Q.G.[Qian-Guo], Song, Q.J.[Qing-Jun], Tong, R.Q.[Ru-Qing],
Sampling Uncertainties of Long-Term REMOTE-Sensing Suspended Sediments Monitoring over China's Seas: Impacts of Cloud Coverage and Sediment Variations,
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Martín-Crespo, T.[Tomás], Gómez-Ortiz, D.[David], Martín-Velázquez, S.[Silvia], Martínez-Pagán, P.[Pedro], de Ignacio-San José, C.[Cristina], Lillo, J.[Javier], Faz, Á.[Ángel],
Abandoned Mine Tailings Affecting Riverbed Sediments in the Cartagena-La Union District, Mediterranean Coastal Area (Spain),
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Chapter on Remote Sensing, Cartography, Aerial Images, Buildings, Roads, Terrain, ATR continues in
Ocean Color Analysis, Ocean Colour Analysis, Water Quality .


Last update:Nov 23, 2020 at 10:27:11