23.5.7.6 Sediment, Suspended Sediment, Silt, Water Quality

Chapter Contents (Back)
Water Quality. Sediment. Suspended Sediments.
See also Suspended Particulates, Suspended Matter, Water Quality.

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
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

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

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

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
BibRef

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
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

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
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

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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.
IEEE DOI 2106
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
BibRef

Taylor, N.C.[Niky C.], Kudela, R.M.[Raphael M.],
Spatial Variability of Suspended Sediments in San Francisco Bay, California,
RS(13), No. 22, 2021, pp. xx-yy.
DOI Link 2112
BibRef

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
BibRef

Irie, M.[Mitsuteru], Arakaki, S.[Shunsuke], Suto, T.[Tomoki], Umino, T.[Takuto],
Classification of River Sediment Fractions in a River Segment including Shallow Water Areas Based on Aerial Images from Unmanned Aerial Vehicles with Convolution Neural Networks,
RS(16), No. 1, 2024, pp. xx-yy.
DOI Link 2401
BibRef

Shanableh, A.[Abdallah], Al-Ruzouq, R.[Rami], Gibril, M.B.A.[Mohamed Barakat A.], Khalil, M.A.[Mohamad Ali], AL-Mansoori, S.[Saeed], Yilmaz, A.G.[Abdullah Gokhan], Imteaz, M.A.[Monzur Alam], Flesia, C.[Cristina],
Potential Factors That Trigger the Suspension of Calcium Carbonate Sediments and Whiting in a Semi-Enclosed Gulf,
RS(13), No. 23, 2021, pp. xx-yy.
DOI Link 2112
BibRef

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
BibRef

Yang, H.[Hui], Liu, J.H.[Jin-Hong], Bai, L.C.[Lei-Chao], 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
BibRef

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
BibRef

Scarpa, G.M.[Gian Marco], Braga, F.[Federica], Manfč, G.[Giorgia], Lorenzetti, G.[Giuliano], Zaggia, L.[Luca],
Towards an Integrated Observational System to Investigate Sediment Transport in the Tidal Inlets of the Lagoon of Venice,
RS(14), No. 14, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Wan, J.X.[Jia-Xin], Qin, Z.L.[Zhi-Liang], Cui, X.D.[Xiao-Dong], Yang, F.L.[Fan-Lin], Yasir, M.[Muhammad], Ma, B.J.[Ben-Jun], Liu, X.Q.[Xue-Qin],
MBES Seabed Sediment Classification Based on a Decision Fusion Method Using Deep Learning Model,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Cao, B.[Bowen], Qiu, J.L.[Jun-Liang], Zhang, W.X.[Wen-Xin], Xie, X.T.[Xue-Tong], Lu, X.X.[Xi-Xi], Yang, X.K.[Xian-Kun], Li, H.T.[Hai-Tao],
Retrieval of Suspended Sediment Concentrations in the Pearl River Estuary Using Multi-Source Satellite Imagery,
RS(14), No. 16, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Zhang, C.L.[Chen-Lu], Liu, Y.X.[Yong-Xin], Chen, X.W.[Xiu-Wan], Gao, Y.[Yu],
Estimation of Suspended Sediment Concentration in the Yangtze Main Stream Based on Sentinel-2 MSI Data,
RS(14), No. 18, 2022, pp. xx-yy.
DOI Link 2209
BibRef

Cheng, Y.[Yinhe], Sun, Y.[Yue], Peng, L.[Lin], He, Y.J.[Yi-Jun], Zha, M.L.[Meng-Ling],
An Improved Retrieval Method for Porphyra Cultivation Area Based on Suspended Sediment Concentration,
RS(14), No. 17, 2022, pp. xx-yy.
DOI Link 2209
BibRef

Zhong, R.[Rong], Yang, D.T.[Ding-Tian], Zhao, L.H.[Lin-Hong], Yin, X.Q.[Xiao-Qing],
First Estimate Biosiliceous Sedimentation Flux in the Pearl River Estuary from 2000-2020 by Satellite Remote Sensing,
RS(15), No. 1, 2023, pp. xx-yy.
DOI Link 2301
BibRef

Li, S.Y.[Shao-Yu], Wang, X.H.[Xiao Hua], Ma, Y.[Yue], Yang, F.[Fanlin],
Satellite-Derived Bathymetry with Sediment Classification Using ICESat-2 and Multispectral Imagery: Case Studies in the South China Sea and Australia,
RS(15), No. 4, 2023, pp. xx-yy.
DOI Link 2303
BibRef

Zhao, Y.X.[Yu-Xin], Zhu, K.[Kexin], Zhao, T.[Ting], Zheng, L.F.[Liang-Feng], Deng, X.[Xiong],
Small-Sample Seabed Sediment Classification Based on Deep Learning,
RS(15), No. 8, 2023, pp. 2178.
DOI Link 2305
BibRef

Hasan, O.[Ozren], Smrkulj, N.[Natalia], Miko, S.[Slobodan], Brunovic, D.[Dea], Ilijanic, N.[Nikolina], Miko, M.Š.[Martina Šparica],
Integrated Reconstruction of Late Quaternary Geomorphology and Sediment Dynamics of Prokljan Lake and Krka River Estuary, Croatia,
RS(15), No. 10, 2023, pp. xx-yy.
DOI Link 2306
BibRef

Botey i Bassols, J.[Joan], Bedia, C.[Carmen], Cuevas-González, M.[María], Valdivielso, S.[Sonia], Crosetto, M.[Michele], Vázquez-Suńé, E.[Enric],
SAR Coherence in Detecting Fluvial Sediment Transport Events in Arid Environments,
RS(15), No. 12, 2023, pp. xx-yy.
DOI Link 2307
BibRef

Han, Y.S.[Yong-Shun], Wang, Z.L.[Zhen-Lin], Chang, Y.L.[Yu-Long], Zhang, D.S.[Dong-Shui], Li, L.[Lelin], Qiu, Z.T.[Zhuo-Ting], Xia, Y.D.[Yang-Delong],
Post-Shock Gravitational Erosion and Sediment Yield: A Case Study of Landscape Transformation along the Wenchuan-Yingxiu Section of the Minjiang River, Sichuan, China,
RS(15), No. 14, 2023, pp. 3506.
DOI Link 2307
BibRef

Zhou, Q.J.[Qing-Jie], Li, X.S.[Xi-Shuang], Liu, L.J.[Le-Jun], Wang, J.Q.[Jing-Qiang], Zhang, L.Q.[Lin-Qing], Liu, B.[Baohua],
Classification of Marine Sediment in the Northern Slope of the South China Sea Based on Improved U-Net and K-Means Clustering Analysis,
RS(15), No. 14, 2023, pp. 3576.
DOI Link 2307
BibRef

Adjovu, G.E.[Godson Ebenezer], Stephen, H.[Haroon], James, D.[David], Ahmad, S.[Sajjad],
Measurement of Total Dissolved Solids and Total Suspended Solids in Water Systems: A Review of the Issues, Conventional, and Remote Sensing Techniques,
RS(15), No. 14, 2023, pp. 3534.
DOI Link 2307
BibRef

Zhang, X.H.[Xiao-Han], Wang, L.[Lizhe], Li, J.[Jun], Han, W.[Wei], Fan, R.[Runyu], Wang, S.[Sheng],
Satellite-derived sediment distribution mapping using ICESat-2 and SuperDove,
PandRS(202), 2023, pp. 545-564.
Elsevier DOI 2308
Remote sensing, ICESat-2, Signal extraction, Sediment classification, SuperDove BibRef

Jaber, R.[Reem], Stark, N.[Nina], Sarlo, R.[Rodrigo], McNinch, J.E.[Jesse E.], Massey, G.[Grace],
Relating Geotechnical Sediment Properties and Low Frequency CHIRP Sonar Measurements,
RS(16), No. 2, 2024, pp. 241.
DOI Link 2402
BibRef

Duan, M.[Mengwei], Qiu, Z.Q.[Zhi-Qiang], Li, R.[Ruren], Li, K.Y.[Ke-Yu], Yu, S.[Shujie], Liu, D.[Dong],
Monitoring Suspended Sediment Transport in the Lower Yellow River using Landsat Observations,
RS(16), No. 2, 2024, pp. 229.
DOI Link 2402
BibRef

Yang, H.[Hanquan], Mei, T.[Tianshen], Chen, X.Y.[Xiao-Yan],
Variation of Satellite-Based Suspended Sediment Concentration in the Ganges-Brahmaputra Estuary from 1990 to 2020,
RS(16), No. 2, 2024, pp. 396.
DOI Link 2402
BibRef

Zheng, Z.Q.[Zhuo-Qi], Wang, D.[Difeng], Fu, D.Y.[Dong-Yang], Gong, F.[Fang], Huang, J.J.[Jing-Jing], He, X.Q.[Xian-Qiang], Zhang, Q.[Qing],
Trends in Concentration and Flux of Total Suspended Matter in the Irrawaddy River,
RS(16), No. 5, 2024, pp. 753.
DOI Link 2403
BibRef

Zhang, D.[Di], Wang, W.[Wensheng], Gade, M.[Martin], Zhou, H.H.[Hui-Hui],
TENet: A Texture-Enhanced Network for Intertidal Sediment and Habitat Classification in Multiband PolSAR Images,
RS(16), No. 6, 2024, pp. 972.
DOI Link 2403
BibRef

Mann, S.[Sophie], Novellino, A.[Alessandro], Hussain, E.[Ekbal], Grebby, S.[Stephen], Bateson, L.[Luke], Capsey, A.[Austin], Marsh, S.[Stuart],
Coastal Sediment Grain Size Estimates on Gravel Beaches Using Satellite Synthetic Aperture Radar (SAR),
RS(16), No. 10, 2024, pp. 1763.
DOI Link 2405
BibRef

Admas, M.[Mulugeta], Melesse, A.M.[Assefa M.], Tegegne, G.[Getachew],
Predicting the Impacts of Land Use/Cover and Climate Changes on Water and Sediment Flows in the Megech Watershed, Upper Blue Nile Basin,
RS(16), No. 13, 2024, pp. 2385.
DOI Link 2407
BibRef


Pisani, R., Costa, K., Rosa, G., Pereira, D., Papa, J., Tavares, J.M.R.S.,
River sediment yield classification using remote sensing imagery,
PRRS16(1-6)
IEEE DOI 1704
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,
CISP09(1-5).
IEEE DOI 0910
BibRef

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,
CISP09(1-5).
IEEE DOI 0910
BibRef

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


Last update:Nov 26, 2024 at 16:40:19