22.5.5.1 Suspended Particulates, Suspended Matter, Water Quality

Chapter Contents (Back)
Suspended Particulates. Suspended Matter. Water Quality.
See also Organic Carbon, Dissolved Organic Matter, Water Quality.
See also Sediment, Suspended Sediment, Silt, Water Quality.

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

Chen, S.S.[Shui-Sen], Han, L.S.[Liu-Sheng], Chen, X.Z.[Xiu-Zhi], 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

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

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

Han, B.[Bing], Loisel, H.[Hubert], Vantrepotte, V.[Vincent], Mériaux, X.[Xavier], Bryère, 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

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
BibRef

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
BibRef

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
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.
DOI Link 1702
BibRef

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.
DOI Link 1708
BibRef

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
BibRef

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

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.K.[Wen-Kai],
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], 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

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

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

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

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

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

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
BibRef

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.F.[Li-Fei], 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

Bernardo, N.[Nariane], do Carmo, A.[Alisson], Park, E.[Edward], Alcântara, E.H.[Enner Herênio],
Retrieval of Suspended Particulate Matter in Inland Waters with Widely Differing Optical Properties Using a Semi-Analytical Scheme,
RS(11), No. 19, 2019, pp. xx-yy.
DOI Link 1910
BibRef

Cao, Z.G.[Zhi-Gang], Ma, R.[Ronghua], Duan, H.T.[Hong-Tao], Xue, K.[Kun], Shen, M.[Ming],
Effect of Satellite Temporal Resolution on Long-Term Suspended Particulate Matter in Inland Lakes,
RS(11), No. 23, 2019, pp. xx-yy.
DOI Link 1912
BibRef

Tavora, J.[Juliana], Boss, E.[Emmanuel], Doxaran, D.[David], Hill, P.[Paul],
An Algorithm to Estimate Suspended Particulate Matter Concentrations and Associated Uncertainties from Remote Sensing Reflectance in Coastal Environments,
RS(12), No. 13, 2020, pp. xx-yy.
DOI Link 2007
BibRef

Ciancia, E.[Emanuele], Campanelli, A.[Alessandra], Lacava, T.[Teodosio], Palombo, A.[Angelo], Pascucci, S.[Simone], Pergola, N.[Nicola], Pignatti, S.[Stefano], Satriano, V.[Valeria], Tramutoli, V.[Valerio],
Modeling and Multi-Temporal Characterization of Total Suspended Matter by the Combined Use of Sentinel 2-MSI and Landsat 8-OLI Data: The Pertusillo Lake Case Study (Italy),
RS(12), No. 13, 2020, pp. xx-yy.
DOI Link 2007
BibRef

Liu, Y.X.[Yan-Xia], Huang, H.J.[Hai-Jun], Yan, L.W.[Li-Wen], Yang, X.G.[Xi-Guang], Bi, H.B.[Hai-Bo], Zhang, Z.H.[Ze-Hua],
Particle Size Parameters of Particulate Matter Suspended in Coastal Waters and Their Use as Indicators of Typhoon Influence,
RS(12), No. 16, 2020, pp. xx-yy.
DOI Link 2008
BibRef

Nazirova, K.[Ksenia], Alferyeva, Y.[Yana], Lavrova, O.[Olga], Shur, Y.[Yuri], Soloviev, D.[Dmitry], Bocharova, T.[Tatiana], Strochkov, A.[Alexey],
Comparison of In Situ and Remote-Sensing Methods to Determine Turbidity and Concentration of Suspended Matter in the Estuary Zone of the Mzymta River, Black Sea,
RS(13), No. 1, 2021, pp. xx-yy.
DOI Link 2101
BibRef

Marzano, F.S., Iacobelli, M., Orlandi, M., Cimini, D.,
Coastal Water Remote Sensing From Sentinel-2 Satellite Data Using Physical, Statistical, and Neural Network Retrieval Approach,
GeoRS(59), No. 2, February 2021, pp. 915-928.
IEEE DOI 2101
Reflectivity, Atmospheric measurements, Biological system modeling, Sea measurements, Estimation, total suspended matter (TSM) BibRef

Hafeez, S.[Sidrah], Wong, M.S.[Man Sing], Abbas, S.[Sawaid], Jiang, G.J.[Guang-Jia],
Assessing the Potential of Geostationary Himawari-8 for Mapping Surface Total Suspended Solids and Its Diurnal Changes,
RS(13), No. 3, 2021, pp. xx-yy.
DOI Link 2102
BibRef

Chen, Q.[Qiong], Zhou, B.[Bin], Yu, Z.F.[Zhi-Feng], Wu, J.[Jie], Tang, S.L.[Shi-Lin],
Detection of the Minute Variations of Total Suspended Matter in Strong Tidal Waters Based on GaoFen-4 Satellite Data,
RS(13), No. 7, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Liu, C.J.[Chang-Jiang], Duan, P.[Pan], Zhang, F.[Fei], Jim, C.Y.[Chi-Yung], Tan, M.L.[Mou Leong], Chan, N.W.[Ngai Weng],
Feasibility of the Spatiotemporal Fusion Model in Monitoring Ebinur Lake's Suspended Particulate Matter under the Missing-Data Scenario,
RS(13), No. 19, 2021, pp. xx-yy.
DOI Link 2110
BibRef

Gao, Z.Y.[Zuo-Yan], Shen, Q.[Qian], Wang, X.[Xuelei], Peng, H.C.[Hong-Chun], Yao, Y.[Yue], Wang, M.X.[Ming-Xiu], Wang, L.[Libing], Wang, R.[Ru], Shi, J.R.[Jia-Rui], Shi, D.W.[Da-Wei], Liang, W.[Wenguang],
Spatiotemporal Distribution of Total Suspended Matter Concentration in Changdang Lake Based on In Situ Hyperspectral Data and Sentinel-2 Images,
RS(13), No. 21, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Chalov, S.[Sergey], Prokopeva, K.[Kristina], Habel, M.[Michal],
North to South Variations in the Suspended Sediment Transport Budget within Large Siberian River Deltas Revealed by Remote Sensing Data,
RS(13), No. 22, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Zhang, X.[Xiang], Song, Y.[Yu], Chen, J.J.[Jun-Jie], Huang, J.[Jue],
Landsat Image-Based Retrieval and Analysis of Spatiotemporal Variation of Total Suspended Solid Concentration in Jiaozhou Bay, China,
RS(13), No. 23, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Wang, Z.M.[Zuo-Min], Hu, S.B.[Shui-Bo], Li, Q.Q.[Qing-Quan], Liu, H.Z.[Hui-Zeng], Liao, X.M.[Xiao-Mei], Wu, G.F.[Guo-Feng],
A Fuor-Step Method for Estimating Suspended Particle Size Based on In Situ Comprehensive Observations in the Pearl River Estuary in China,
RS(13), No. 24, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Wang, X.[Xiang], Wen, Z.D.[Zhi-Dan], Liu, G.[Ge], Tao, H.[Hui], Song, K.[Kaishan],
Remote estimates of total suspended matter in China's main estuaries using Landsat images and a weight random forest model,
PandRS(183), 2022, pp. 94-110.
Elsevier DOI 2201
Estuary, TSM, Weight random forest, Landsat images BibRef

Zhu, P.H.[Peng-Hang], Liu, Y.[Yao], Li, J.S.[Jun-Sheng],
Optimization and Evaluation of Widely-Used Total Suspended Matter Concentration Retrieval Methods for ZY1-02D's AHSI Imagery,
RS(14), No. 3, 2022, pp. xx-yy.
DOI Link 2202
BibRef

Wen, Z.D.[Zhi-Dan], Wang, Q.[Qiang], Liu, G.[Ge], Jacinthe, P.A.[Pierre-Andre], Wang, X.[Xiang], Lyu, L.[Lili], Tao, H.[Hui], Ma, Y.[Yue], Duan, H.T.[Hong-Tao], Shang, Y.X.[Ying-Xin], Zhang, B.[Baohua], Du, Y.[Yunxia], Du, J.[Jia], Li, S.[Sijia], Cheng, S.[Shuai], Song, K.[Kaishan],
Remote sensing of total suspended matter concentration in lakes across China using Landsat images and Google Earth Engine,
PandRS(187), 2022, pp. 61-78.
Elsevier DOI 2205
Google earth engine (GEE), Landsat, Surface reflectance, TSM BibRef

Du, C.G.[Cheng-Gong], Li, Y.M.[Yun-Mei], Lyu, H.[Heng], Shi, K.[Kun], Liu, N.[Naisen], Yan, C.[Chen], Pan, J.H.[Jin-Heng], Guo, Y.L.[Yu-Long], Li, Y.[Yuan],
Characteristics of the Total Suspended Matter Concentration in the Hongze Lake during 1984-2019 Based on Landsat Data,
RS(14), No. 12, 2022, pp. xx-yy.
DOI Link 2206
BibRef

Tan, Z.Y.[Zhen-Yu], Cao, Z.G.[Zhi-Gang], Shen, M.[Ming], Chen, J.[Jun], Song, Q.J.[Qing-Jun], Duan, H.T.[Hong-Tao],
Remote Estimation of Water Clarity and Suspended Particulate Matter in Qinghai Lake from 2001 to 2020 Using MODIS Images,
RS(14), No. 13, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Patricio-Valerio, L.[Larissa], Schroeder, T.[Thomas], Devlin, M.J.[Michelle J.], Qin, Y.[Yi], Smithers, S.[Scott],
A Machine Learning Algorithm for Himawari-8 Total Suspended Solids Retrievals in the Great Barrier Reef,
RS(14), No. 14, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Du, C.G.[Cheng-Gong], Shi, K.[Kun], Liu, N.[Naisen], Li, Y.M.[Yun-Mei], Lyu, H.[Heng], Yan, C.[Chen], Pan, J.[Jinheng],
Remote Estimation of the Particulate Phosphorus Concentrations in Inland Water Bodies: A Case Study in Hongze Lake,
RS(14), No. 16, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Ren, X.[Xin], Ding, D.[Dong], Qin, H.[Haosen], Ma, L.[Le], Li, G.X.[Guang-Xue],
Extraction of Submarine Gas Plume Based on Multibeam Water Column Point Cloud Model,
RS(14), No. 17, 2022, pp. xx-yy.
DOI Link 2209
BibRef


Nurdin, N., Helmi, M., Setiawan, R.Y., Zainuddin, M., Rustam, Agus, Akbar AS, M.,
Landsat Capability to Mapping of Total Solid Suspended (tss) And Coastal Ecosystem,
GGT19(497-502).
DOI Link 1912
BibRef

Lounis, B.[Bahia], Rabia, S.[Sofiane], Ramoul, A.[Adlene], Aissa, A.B.[Aichouche Belhadj],
An Adaptive Method Using Genetic Fuzzy System to Evaluate Suspended Particulates Matters SPM from Landsat and Modis Data,
ICISP10(137-146).
Springer DOI 1006
BibRef

Chapter on Remote Sensing General Issue, Land Use, Land Cover continues in
Organic Carbon, Dissolved Organic Matter, Water Quality .


Last update:Nov 2, 2022 at 12:00:26