Articles | Volume 10, issue 12
https://doi.org/10.5194/gmd-10-4347-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-10-4347-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Model evaluation paper
| 
30 Nov 2017
Model evaluation paper |
| 30 Nov 2017
A Landsat-based model for retrieving total suspended solids concentration of estuaries and coasts in China
Chongyang Wang
Guangdong Open Laboratory of Geospatial Information Technology and Application, Guangdong Engineering
Technology Center for Remote Sensing Big Data Application, Guangdong Key Laboratory of Remote Sensing
and GIS Technology Application, Guangzhou Institute of Geography, Guangzhou 510070, China
Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China
University of Chinese Academy of Sciences, Beijing 100049, China
Shuisen Chen
CORRESPONDING AUTHOR
Guangdong Open Laboratory of Geospatial Information Technology and Application, Guangdong Engineering
Technology Center for Remote Sensing Big Data Application, Guangdong Key Laboratory of Remote Sensing
and GIS Technology Application, Guangzhou Institute of Geography, Guangzhou 510070, China
Dan Li
Guangdong Open Laboratory of Geospatial Information Technology and Application, Guangdong Engineering
Technology Center for Remote Sensing Big Data Application, Guangdong Key Laboratory of Remote Sensing
and GIS Technology Application, Guangzhou Institute of Geography, Guangzhou 510070, China
Danni Wang
Department of Resources and the Urban Planning, Xin Hua College of Sun Yat-Sen University, Guangzhou 510520, China
Wei Liu
Guangdong Open Laboratory of Geospatial Information Technology and Application, Guangdong Engineering
Technology Center for Remote Sensing Big Data Application, Guangdong Key Laboratory of Remote Sensing
and GIS Technology Application, Guangzhou Institute of Geography, Guangzhou 510070, China
Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China
University of Chinese Academy of Sciences, Beijing 100049, China
Ji Yang
Guangdong Open Laboratory of Geospatial Information Technology and Application, Guangdong Engineering
Technology Center for Remote Sensing Big Data Application, Guangdong Key Laboratory of Remote Sensing
and GIS Technology Application, Guangzhou Institute of Geography, Guangzhou 510070, China
Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China
University of Chinese Academy of Sciences, Beijing 100049, China
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- Total suspended solids characterization and management implications for lakes in East China Y. Du et al. 10.1016/j.scitotenv.2021.151374
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- Quantifying total suspended matter (TSM) in waters using Landsat images during 1984–2018 across the Songnen Plain, Northeast China Y. Du et al. 10.1016/j.jenvman.2020.110334
- Higher Risks of Copper Toxicity in Turbid Waters: Quantifying the Bioavailability of Particle-Bound Metals to Set Site-Specific Water Quality Criteria X. Cao et al. 10.1021/acs.est.2c06447
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- Vertical distribution of suspended particulate matter and its response to river discharge and seawater intrusion: a case study in the Pearl River Estuary during the 2020 dry season L. Deng et al. 10.3389/fmars.2023.1239649
- Assessment of Regression Models for Surface Water Quality Modeling via Remote Sensing of a Water Body in the Mexican Highlands A. Cruz-Retana et al. 10.3390/w15213828
- Remote sensing monitoring of total suspended solids concentration in Jiaozhou Bay based on multi-source data X. Zhang et al. 10.1016/j.ecolind.2023.110513
- Impact of land use and socio-economic changes in water catchment area on total suspended solid (TSS) in Lake Toba A. Harianja et al. 10.1088/1755-1315/407/1/012005
- Novel approach for retrieving land-surface albedo: case study at the Nanling National Nature Reserve, Guangdong Province C. Wang et al. 10.1080/14498596.2021.1955024
- The spatial and temporal variation of total suspended solid concentration in Pearl River Estuary during 1987–2015 based on remote sensing C. Wang et al. 10.1016/j.scitotenv.2017.09.196
- Using Remote Sensing to Understand the Total Suspended Matter Dynamics in Lakes Across Inner Mongolia Y. Du et al. 10.1109/JSTARS.2021.3097083
- Empirical modelling of suspended solids in a subtropical lagoon (Brazil) using linear spectral mixing algorithm R. Fraga et al. 10.1016/j.rsase.2020.100380
- Novel method for reconstruction of hyperspectral resolution images from multispectral data for complex coastal and inland waters S. Banerjee & P. Shanmugam 10.1016/j.asr.2020.09.045
- Spatial and temporal dynamics of suspended sediment concentrations in coastal waters of the South China Sea, off Sarawak, Borneo: ocean colour remote sensing observations and analysis J. Choo et al. 10.5194/bg-19-5837-2022
- Coupling remote sensing data with in-situ optical measurements to estimate suspended particulate matter under the Evros river influence (North-East Aegean sea, Greece) A. Tsapanou et al. 10.1080/01431161.2019.1685713
- Turbid Waters and Clearer Standards: Refining Water Quality Criteria for Coastal Environments by Encompassing Metal Bioavailability from Suspended Particles J. Qian et al. 10.1021/acs.est.3c09599
- Water quality prospective in Twenty First Century: Status of water quality in major river basins, contemporary strategies and impediments: A review S. Giri 10.1016/j.envpol.2020.116332
- Retrieval of total suspended solids concentration from hyperspectral sensing using hierarchical Bayesian model aggregation for optimal multiple band ratio analysis H. Pak et al. 10.1016/j.jher.2022.11.002
- Interspecies calibration for biomonitoring metal contamination in coastal waters using oysters and mussels X. Cao et al. 10.1016/j.scitotenv.2023.163703
- Remote Sensing Big Data for Water Environment Monitoring: Current Status, Challenges, and Future Prospects J. Chen et al. 10.1029/2021EF002289
- Monitoring Total Suspended Sediment Concentration in Spatiotemporal Domain over Teluk Lipat Utilizing Landsat 8 (OLI) F. Sa’ad et al. 10.3390/app11157082
- Remote Sensing Evaluation of Total Suspended Solids Dynamic with Markov Model: A Case Study of Inland Reservoir across Administrative Boundary in South China J. Zhao et al. 10.3390/s20236911
- Remote Retrieval of Suspended Particulate Matter in Inland Waters: Image-Based or Physical Atmospheric Correction Models? A. El Alem et al. 10.3390/w13162149
- Measurement of Total Dissolved Solids and Total Suspended Solids in Water Systems: A Review of the Issues, Conventional, and Remote Sensing Techniques G. Adjovu et al. 10.3390/rs15143534
- Assessment of atmospheric correction results by iCOR for MSI and OLI data on TSS concentration . Nurgiantoro et al. 10.1088/1755-1315/389/1/012001
- Retrieval of Total Suspended Matter Concentration Based on the Iterative Analysis of Multiple Equations: A Case Study of a Lake Taihu Image from the First Sustainable Development Goals Science Satellite’s Multispectral Imager for Inshore X. Hu et al. 10.3390/rs16081385
- Measurement of suspended sediment concentration in open channel flows based on hyperspectral imagery from UAVs S. Kwon et al. 10.1016/j.advwatres.2021.104076
- A satellite-based hybrid model for trophic state evaluation in inland waters across China Y. Liu et al. 10.1016/j.envres.2023.115509
- Suspended Sediment within Estuaries and along Coasts: A Review of Spatial and Temporal Variations based on Remote Sensing C. Wang et al. 10.2112/JCOASTRES-D-19-00164.1
- Preliminary examination of influence of Chlorophyll, Total Suspended Material, and Turbidity on Satellite Derived-Bathymetry estimation in coastal turbid water M. Ashphaq et al. 10.1016/j.rsma.2023.102920
- Remote Sensing Inversion of Suspended Matter Concentration Using a Neural Network Model Optimized by the Partial Least Squares and Particle Swarm Optimization Algorithms Q. Guo et al. 10.3390/su14042221
- Remotely assessing and monitoring coastal and inland water quality in China: Progress, challenges and outlook Y. Xiong et al. 10.1080/10643389.2019.1656511
- Remote Sensing Estimation of Chlorophyll-A in Case-II Waters of Coastal Areas: Three-Band Model Versus Genetic Algorithm–Artificial Neural Networks Model J. Chen et al. 10.1109/JSTARS.2021.3066697
- Mainstream and Heterodox Approaches to Water Quality Valuation: A Case for Pluralistic Water Policy Analysis B. Keeler 10.1146/annurev-resource-100517-023134
- An empirical model based environmental pollution level analysis in coastal area of Gulf of Mannar using remote sensing data W. Ganasigamony et al. 10.1002/cpe.6859
Latest update: 29 Jun 2024
Short summary
Monitoring total suspended solids (TSS) concentration from satellites has unique advantages. Although many TSS retrieval models have been published, the general inversion method that is applicable to different field conditions is still under research. We studied many previous different satellite sensors models and finally developed a new model.
Monitoring total suspended solids (TSS) concentration from satellites has unique advantages....
