Yang, W.[Wei],
Matsushita, B.,
Chen, J.[Jin],
Yoshimura, K.,
Fukushima, T.,
Retrieval of Inherent Optical Properties for Turbid Inland Waters
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IEEE DOI
1307
lakes; water quality
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Zlinszky, A.[András],
Présing, M.[Mátyás],
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Balzter, H.[Heiko],
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1310
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Lee, Z.,
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IEEE DOI
1305
BibRef
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Moreno-Madrińán, M.J.[Max J.],
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Zhu, G.W.[Guang-Wei],
Qin, B.Q.[Bo-Qiang],
Mapping Aquatic Vegetation in a Large, Shallow Eutrophic Lake:
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1509
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Baughman, C.A.[Carson A.],
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Reconstructing Turbidity in a Glacially Influenced Lake Using the
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1511
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Shen, Q.[Qian],
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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
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Lu, H.M.[Hui-Min],
Li, Y.J.[Yu-Jie],
Nakashima, S.[Shota],
Serikawa, S.[Seiichi],
Turbidity Underwater Image Restoration Using Spectral Properties and
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IEICE(E99-D), No. 1, January 2016, pp. 219-227.
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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.,
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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,
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1606
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Kutser, T.[Tiit],
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Ligi, M.[Martin],
Soomets, T.[Tuuli],
Toming, K.[Kaire],
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Remote Sensing of Black Lakes and Using 810 nm Reflectance Peak for
Retrieving Water Quality Parameters of Optically Complex Waters,
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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,
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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
BibRef
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
BibRef
Watanabe, F.[Fernanda],
Mishra, D.R.[Deepak R.],
Astuti, I.[Ike],
Rodrigues, T.[Thanan],
Alcântara, E.H.[Enner Heręnio],
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
Ma, J.H.[Jian-Hang],
Song, K.S.[Kai-Shan],
Wen, Z.D.[Zhi-Dan],
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
BibRef
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,
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
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
BibRef
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
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,
RS(9), No. 4, 2017, pp. xx-yy.
DOI Link
1705
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,
RS(9), No. 5, 2017, pp. xx-yy.
DOI Link
1706
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
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Zhao, J.H.[Jian-Hu],
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
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RS(9), No. 5, 2017, pp. xx-yy.
DOI Link
1706
BibRef
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,
RS(9), No. 6, 2017, pp. xx-yy.
DOI Link
1706
BibRef
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.
DOI Link
1708
BibRef
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.
DOI Link
1708
BibRef
Huang, C.C.[Chang-Chun],
Yao, L.[Ling],
Semi-Analytical Retrieval of the Diffuse Attenuation Coefficient in
Large and Shallow Lakes from GOCI, a High Temporal-Resolution
Satellite,
RS(9), No. 8, 2017, pp. xx-yy.
DOI Link
1708
BibRef
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,
IJGI(6), No. 10, 2017, pp. xx-yy.
DOI Link
1710
BibRef
Shrestha, A.[Anil],
Luo, W.[Wei],
Assessment of Groundwater Nitrate Pollution Potential in Central
Valley Aquifer Using Geodetector-Based Frequency Ratio (GFR) and
Optimized-DRASTIC Methods,
IJGI(7), No. 6, 2018, pp. xx-yy.
DOI Link
1806
BibRef
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,
RS(9), No. 10, 2017, pp. xx-yy.
DOI Link
1711
BibRef
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
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
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
BibRef
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
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
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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
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
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
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RS(10), No. 7, 2018, pp. xx-yy.
DOI Link
1808
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Bi, S.[Shun],
Li, Y.M.[Yun-Mei],
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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],
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Spatial Assessment of Water Quality with Urbanization in 2007-2015,
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RS(10), No. 7, 2018, pp. xx-yy.
DOI Link
1808
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Hilton, A.E.[Annette E.],
Bausell, J.T.[Jesse T.],
Kudela, R.M.[Raphael M.],
Quantification of Polychlorinated Biphenyl (PCB) Concentration in San
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RS(10), No. 7, 2018, pp. xx-yy.
DOI Link
1808
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
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
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
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
BibRef
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
BibRef
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
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
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],
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Effects of broad bandwidth on the remote sensing of inland waters:
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PandRS(153), 2019, pp. 110-122.
Elsevier DOI
1906
High spatial resolution, Optical sensors, Bandwidth,
Inland waters, Deep neural network
BibRef
Wicaksono, P.[Pramaditya],
Aryaguna, P.A.[Prama Ardha],
Lazuardi, W.[Wahyu],
Benthic Habitat Mapping Model and Cross Validation Using
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RS(11), No. 11, 2019, pp. xx-yy.
DOI Link
1906
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
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
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Laser radar, Optical attenuators, Oceans, Optical sensors,
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Ground observations are not always the same schedule as satellite images.
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Malthus, T.J.[Tim J.],
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2006
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Underwater Use of a Hyperspectral Camera to Estimate Optically Active
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2006
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Liu, Y.[Yao],
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2006
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Kim, W.[Wonkook],
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Peluffo-Ordóńez, D.H.[Diego H.],
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Bria, A.,
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2006
Sensors, Machine learning, Pattern recognition,
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Elsevier DOI
2006
PCA, Evolutionary algorithms, Sensors, Water contamination
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MODIS-Based Remote Estimation of Absorption Coefficients of an Inland
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2006
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Abascal-Zorrilla, N.[Noelia],
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Anthony, E.J.[Edward J.],
Gardel, A.[Antoine],
Dynamics of the Estuarine Turbidity Maximum Zone from Landsat-8 Data:
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2007
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2007
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Yang, C.Y.[Chao-Yu],
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2007
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Botha, E.J.[Elizabeth J.],
Anstee, J.M.[Janet M.],
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Medeiros, T.A.G.[Thais A. G.],
Classification of Australian Waterbodies across a Wide Range of
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2009
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2010
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Elsevier DOI
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Turbid waters, Diffuse attenuation coefficient, Sentinel-2,
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2011
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2011
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Lakes, Water quality, Data models, Remote sensing,
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Deep learning, Remote sensing, Water quality, Chlorophyll-,
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Small Water Body Detection and Water Quality Variations with Changing
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2201
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A New Method for Continuous Monitoring of Black and Odorous Water
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Water classification, Spectral quality, Ultraviolet,
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Pollution, Task analysis, Optimization, Systems architecture,
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IEEE DOI
1802
Feature extraction, Flickr, Histograms, Image recognition, Layout,
Roads, Sea measurements
BibRef
Teja, K.T.[K. Tarun],
Rajan, K.S.,
Understanding The Behaviour Of Contamination Spread In Nagarjuna Sagar
Reservoir Using Temporal Landsat Data,
ISPRS16(B8: 343-348).
DOI Link
1610
BibRef
Chengfang, H.,
Xiao, X.,
Dingtao, S.,
Bo, C.,
Xiongfei, W.,
Study Of Water Pollution Early Warning Framework Based On Internet Of
Things,
ISPRS16(B8: 335-338).
DOI Link
1610
BibRef
Pásler, M.,
Komárková, J.,
Utilization of Landsat Data for Water Quality Observation in Small
Inland Water Bodies,
ISPRS16(B8: 373-377).
DOI Link
1610
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
Tormos, T.,
Harmel, T.,
Danis, P.A.,
Chami, M.,
Exploiting satelitte image time series for monitoring ecological
quality parameters of french reservoirs,
MultiTemp15(1-4)
IEEE DOI
1511
ecology
BibRef
Liu, Y.,
Zhang, W.,
Yan, C.,
The Huaihe Basin Water Resource And Water Quality Management Platform
Implemented With A Spatio-temporal Data Model,
ISPRS12(XXXIX-B6:135-140).
DOI Link
1209
BibRef
Campbell, G.,
Phinn, S.R.,
Measuring The Particulate Backscattering Of Inland Waters: A Comparison
Of Techniques,
AnnalsPRS(I-7), No. 2012, pp. 7-12.
DOI Link
1209
BibRef
Akbar, T.[Tahir],
Hassan, Q.[Quazi],
Achari, G.[Gopal],
A remote sensing based framework for predicting water quality of
different source waters,
CGC10(117).
PDF File.
1006
BibRef
Chapter on Remote Sensing General Issue, Land Use, Land Cover continues in
Coastal Water QualityWater Clarity .