Sediment, Suspended Sediment, Silt, Water Quality

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Water Quality. Sediment. Suspended Sediments.

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

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

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

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,
RS(8), No. 10, 2016, pp. 810.
DOI Link 1609

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

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

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,
RS(9), No. 4, 2017, pp. xx-yy.
DOI Link 1705

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

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

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

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

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

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

Cai, L.[Lina], Zhou, M.R.[Min-Rui], Liu, J.Q.[Jian-Qiang], Tang, D.L.[Dan-Ling], Zuo, J.C.[Jun-Cheng],
HY-1C Observations of the Impacts of Islands on Suspended Sediment Distribution in Zhoushan Coastal Waters, China,
RS(12), No. 11, 2020, pp. xx-yy.
DOI Link 2006

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,
RS(12), No. 12, 2020, pp. xx-yy.
DOI Link 2006

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),
RS(12), No. 12, 2020, pp. xx-yy.
DOI Link 2006

Yao, R.[Ru], Cai, L.N.[Li-Na], Liu, J.Q.[Jian-Qiang], Zhou, M.R.[Min-Rui],
GF-1 Satellite Observations of Suspended Sediment Injection of Yellow River Estuary, China,
RS(12), No. 19, 2020, pp. xx-yy.
DOI Link 2010

Szatten, D.[Dawid], Habel, M.[Michal],
Effects of Land Cover Changes on Sediment and Nutrient Balance in the Catchment with Cascade-Dammed Waters,
RS(12), No. 20, 2020, pp. xx-yy.
DOI Link 2010

Liu, X.M.[Xing-Min], Qiao, L.[Lulu], Zhong, Y.[Yi], Xue, W.J.[Wen-Jing], Liu, P.[Peng],
Multi-Year Winter Variations in Suspended Sediment Flux through the Bohai Strait,
RS(12), No. 24, 2020, pp. xx-yy.
DOI Link 2012

Cherukuru, N.[Nagur], Martin, P.[Patrick], Sanwlani, N.[Nivedita], Mujahid, A.[Aazani], Müller, M.[Moritz],
A Semi-Analytical Optical Remote Sensing Model to Estimate Suspended Sediment and Dissolved Organic Carbon in Tropical Coastal Waters Influenced by Peatland-Draining River Discharges off Sarawak, Borneo,
RS(13), No. 1, 2021, pp. xx-yy.
DOI Link 2101

Chau, P.M.[Pham Minh], Wang, C.K.[Chi-Kuei], Huang, A.T.[An-Te],
The Spatial-Temporal Distribution of GOCI-Derived Suspended Sediment in Taiwan Coastal Water Induced by Typhoon Soudelor,
RS(13), No. 2, 2021, pp. xx-yy.
DOI Link 2101

Marinho, R.R.[Rogério Ribeiro], Harmel, T.[Tristan], Martinez, J.M.[Jean-Michel], Junior, N.P.F.[Naziano Pantoja Filizola],
Spatiotemporal Dynamics of Suspended Sediments in the Negro River, Amazon Basin, from In Situ and Sentinel-2 Remote Sensing Data,
IJGI(10), No. 2, 2021, pp. xx-yy.
DOI Link 2103

Du, Y.F.[Yun-Fei], Lin, H.[Huiyi], He, S.Y.[Shuang-Yan], Wang, D.S.[Dao-Sheng], Wang, Y.P.[Ya Ping], Zhang, J.[Jicai],
Tide-Induced Variability and Mechanisms of Surface Suspended Sediment in the Zhoushan Archipelago along the Southeastern Coast of China Based on GOCI Data,
RS(13), No. 5, 2021, pp. xx-yy.
DOI Link 2103

Jourdin, F.[Frédéric], Renosh, P.R.[Pannimpullath Remanan], Charantonis, A.A.[Anastase Alexander], Guillou, N.[Nicolas], Thiria, S.[Sylvie], Badran, F.[Fouad], Garlan, T.[Thierry],
An Observing System Simulation Experiment (OSSE) in Deriving Suspended Sediment Concentrations in the Ocean From MTG/FCI Satellite Sensor,
GeoRS(59), No. 7, July 2021, pp. 5423-5433.
Satellites, Hidden Markov models, Data models, Sediments, Numerical models, Sea surface, English channel, suspended sediment BibRef

Emtehani, S.[Sobhan], Jetten, V.[Victor], van Westen, C.[Cees], Shrestha, D.P.[Dhruba Pikha],
Quantifying Sediment Deposition Volume in Vegetated Areas with UAV Data,
RS(13), No. 12, 2021, pp. xx-yy.
DOI Link 2106

Takechi, H.[Hitoshi], Aragaki, S.[Shunsuke], Irie, M.[Mitsuteru],
Differentiation of River Sediments Fractions in UAV Aerial Images by Convolution Neural Network,
RS(13), No. 16, 2021, pp. xx-yy.
DOI Link 2109

Cai, L.[Lina], Chen, S.[Songyu], Yan, X.J.[Xiao-Jun], Bai, Y.[Yan], Bu, J.[Juan],
Study on High-Resolution Suspended Sediment Distribution under the Influence of Coastal Zone Engineering in the Yangtze River Mouth, China,
RS(14), No. 3, 2022, pp. xx-yy.
DOI Link 2202

Yang, H.[Hui], Liu, J.[Jinhong], Bai, L.[Leichao], Luo, M.L.[Ming-Liang],
Similarity Analysis: Revealing the Regional Difference in Geomorphic Development in Areas with High and Coarse Sediment Yield of the Loess Plateau in China,
IJGI(11), No. 4, 2022, pp. xx-yy.
DOI Link 2205

Yang, H.[Hui], Shi, C.X.[Chang-Xing], Cao, J.S.[Jian-Sheng],
A Field Investigation on Gully Erosion and Implications for Changes in Sediment Delivery Processes in Some Tributaries of the Upper Yellow River in China,
IJGI(11), No. 5, 2022, pp. xx-yy.
DOI Link 2206

Pisani, R., Costa, K., Rosa, G., Pereira, D., Papa, J., Tavares, J.M.R.S.,
River sediment yield classification using remote sensing imagery,
environmental monitoring (geophysics) BibRef

Yan, J.[Jun], Cao, H.[Hui], Wang, J.[Jun], Liu, Y.F.[Yan-Fang], Zhao, H.B.[Hai-Bin],
RBF Model Applied to Forecast the Water and Sediment Fluxes in Lijin Section,

Yan, J.[Jun], Liu, Y.F.[Yan-Fang], Wang, J.[Jun], Cao, H.[Hui], Zhao, H.B.[Hai-Bin],
BP Model Applied to Forecast the Water and Sediment Fluxes in the Yellow River Mouth,

Chapter on Remote Sensing General Issue, Land Use, Land Cover continues in
Ocean Color Analysis, Ocean Colour Analysis, Water Quality .

Last update:Jul 17, 2022 at 17:44:20