Preview

GEOGRAPHY, ENVIRONMENT, SUSTAINABILITY

Advanced search

ESTIMATION Of SUSPENDED SEDIMENT CONCENTRATION USING VNREDSAT – 1A MULTISPECTRAL DATA, A CASE STUDY IN RED RIVER, HANOI, VIETNAM

https://doi.org/10.24057/2071-9388-2018-11-3-49-60

Abstract

The traditional methods for measuring water quality variables are timeconsuming and do not give a synoptic view of a water body or, more significantly, a synoptic view of different water bodies across the landscape. However, remote sensing technology with advantages such as wide area coverage and short revisit interval have been effectively used for environmental pollution applications, such as for monitoring water quality parameters. Many studies around the world show that optical satellite imagery can be used effectively in evaluating suspended sediment concentration. This article presents results of monitoring suspended sediment concentration in Red River, Hanoi, Vietnam through ground truth measurements and VNREDSat-1A multispectral data. The results obtained in the study can be used to serve the management, monitoring and evaluation of surface water quality.

About the Authors

Le Hung Trinh
Le Quy Don Technical University.
Russian Federation
Hanoi


V. R. Zablotskii
Moscow State University of Geodesy and Cartography.
Russian Federation
Moscow.


Thi Giang Le
Vietnam National University of Agriculture.
Russian Federation
Hanoi.


Thi Thu Hien Dinh
Electric Power University.
Russian Federation
Hanoi.


Thi Trinh Le
Hanoi University of Natural Resources and Environment.
Russian Federation
Hanoi.


Thi Tham Trinh
Hanoi University of Natural Resources and Environment.
Russian Federation
Hanoi.


Thi Thu Nga Nguyen
Le Quy Don Technical University.
Russian Federation
Hanoi.


References

1. Chalov S., Golosov V., Tsyplenkov A., Zakerinejad R., Marker M., Samokhin M. (2017). A toolbox for sediment budget research in small catchments, Geography, Environment, Sustainability, 10(4), 43- 68, https://doi.org/10.24057/2071-9388-2017-10-4-43-68.

2. Chalov S., Bazilova V., Tarasov M. (2017). Modeling suspended sediment distribution in the Selenga River Delta using LandSat data, Proc. IAHS, 375, 19-22, https://doi.org/10.5194/ piahs-375-19-2017.

3. Chavez P.S. (1996). Image based atmospheric corrections-revisited and improved, Photogrammetric Engineering and Remote Sensing, 62(9), 1025-1036.

4. Chavez P.S. (1988). An improved dark-object subtraction technique for atmospheric scattering correction of multispectral data, Remote Sensing of Environment, 24, 459 - 479.

5. Chen S., Fang L., Zhang L., Huang W. (2009). Remote sensing of turbidity in seawater intrusion reaches of Pearl River Estuary - A case study in Modaomen water way, China, Estuarine, Coastal and Shelf Science, 82(1), 119-127, https://doi.org/10.1016/j. ecss.2009.01.00.

6. Doxaran D., Froidefond J.M., Lavender S., Castaing P. (2002). Spectral signature of highly turbid waters application with SPOT data to quantify suspended particulate matter concentrations, Remote Sensing of Enviroment, 81, 149 - 161.

7. Doxaran D., Castaing P., Lavender S.J. (2006). Monitoring the maximum turbidity zone and detecting fine-scale turbidity features in the Gironde estuary using high spatial resolution satellite sensor (SPOT HRV, Landsat ETM+) data, International Journal of Remote Sensing, Vol. 27, No. 11, 2303 - 2321.

8. Frohn R.C., Autrey B.C. (2007). Ohio River water quality assessment using Landsat 7 data, SWIMS Conference, Chicago, IL, January 30 - February 01.

9. Gernez P., Lafon V., Lerouxel A., Curti C., Lubac B., Cerisier S., Barille L. (2015). Toward Sentinel 2 high resolution remote sensing of suspended particulate matter in very turbid waters: SPOT 4 (take 5) experiment in the Loire and Gironde estuaries, Remote Sensing, 7(8), 9507 - 9528, https://doi.org/10.3390/rs70809507.

10. Gilerson A.A., Zhou J., Gurlin D., Moses W.J., Uoannou I., Ahmed S.A. (2010). Algorithms for remote estimation of chlorophyll-a in coastal and inland waters using red and nearinfrared bands, Optics Express, 18, 24109 - 24125.

11. Guzman V.R., Santaella F.G. (2009). Using MODIS 250m Imagery to Estimate Total suspended sediment in a Tropical open bay, International Journal of Systems Applications, Engineering & Development, Vol. 3, Issue 1, 36 - 44.

12. He W., Chen S., Liu X., Chen J. (2008). Water quality monitoring in slightly - polluted body through remote sensing - a case study in Guanting Reservoir Beijing, China, Frontiers of Environmental Science & Engineering, Vol. 1, 11 pp.

13. Li R.R., Kaufman Y.J., Gao B.C., Davis C.O. (2003). Remote sensing of suspended sediment and shallow coastal waters, IEEE Transactions on Geosciences and Remote Sensing, Vol. 41, No. 3, 559 - 566.

14. Lim H.S., MatJafri M.Z., Abdullah K., Wong C.J. (2009). Total suspended solids (TSS) mapping using ALOS imagery over Penang island, Malaysia, 2009 Sixth International Conference on Computer Graphics, Imaging and Visualization, https://doi.org/10.1109/CGIV.2009.39.

15. Liu H., Li Q., Shi T., Hu S., Wu G., Zhou Q. (2017). Application of Sentinel 2 MSI images to retrieve suspended particulate matter concentrations in Poyang Lake, Remote Sensing, 9(7), 761, https://doi.org/10.3390/rs9070761.

16. Markert K., Schmidt C., Griffin R., Flores A., Poortinga A., Saah D., Muench R., Clinton N., Chishtie F., Kityuttachai K., Someth P., AndersonE., Aekakkararungroj A., Ganz D. (2018). Historical and operational monitoring of surface sediments in the lower Mekong basin using Landsat and Google Earth Engine cloud computing, Remote Sensing, 10, 909, https://doi.org/10.3390/rs10060909.

17. Ministry of Natural Resources and Environment of Vietnam (2012). National environment report, chapter 3: surface water.

18. Ministry of Natural Resources and Environment of Vietnam (2015). National technical regulation on surface water quality, QCVN 08:2015/BTNMT.

19. Mobley C.D. (1994). Light and water: radiative tranfer in natural waters, Academic Press: San Diego, CA.

20. Moran M.S., Ray D.J., Slater P.N., Teillet P.M. (1992). Evaluation of simplified procedures for retrieval of land surface reflectance factors from satellite sensor output, Remote Sensing of Environment, Vol.41, 169 - 184.

21. Nguyen T.T.H., Bui D.C., Nguyen T.P.T., Bui T.N. (2016). First experience in modelling spatial distribution of chlorophyll-a concentration and TSI in the West Lake water using Sentineal2A image, Journal of Science: Earth and Environmental Sciences, Vietnam National University, Vol. 32, Issue 2S, 121 - 130.

22. Olet E. (2010). Water quality monitoring of Roxo reservior using LANDSAT images and In - situ measurements, International Institude for Geo-information Science and Earth Observation Enschede, the Netherlands, 69 pp.

23. Ritchie J.C., McHenry J.R., Schiebe F.R., Wilson R.B. (1974). The relationship of reflected solar radiantion and the concentration of sediment in the surface water of resevois, Remote Sensing of Earth Resources, Vol.3, The University of Tennessee Space Institure, Tullahoma, TN, 57 - 72.

24. Ritchie J.C., Cooper C.M., Jiang Y. (1987). Using Landsat multispectral scanner data to estimate suspended sediments in Moon lake, Mississippi, Remote Sensing of Environment, 23, 65 - 81.

25. Ritchie J.C., Cooper C.M. (1988). Comparision of measured suspended semdiment concentration with suspended sediment concentrations estimated from Landsat MSS data, International Journal of Remote Sensing, 9(3), 379 - 387.

26. Ritchie J.C., Cooper C.M., Schiebe F.R. (1990). The relationship of MSS and TM digital data with suspended sediments, chlorophyll, and temperature in Moon lake, Mississippi, Remote Sensing of Environment, 33, 137 - 148.

27. Trinh L.H., Tarasov M.K. (2016). Evaluation of suspended sediment concentrations in surface water of the Tri An water reservoir using remote sensing, Moscow University Bulletin. Series 5. Geography, Vol.2, 38 - 44.

28. Vietnam Academy of Science and Technology (2018). The success of the first remote sensing satellite project in Vietnam, http://vast.ac.vn.

29. Wackerman C., Hayden A., Jonik J. (2017). Deriving spatial and temporal context for point measurements of suspended sediment concentration using remote sensing imagery in the Mekong Delta, Continental Shelf Research, Vol.147, 231 - 245.

30. Wang J., Tian Q. (2013). Estimation of total suspended solids concentration by hyperspectral remote sensing in Liaodong bay, Indian Journal of Geo-Marine Science, Vol. 44(8), 1137 - 1144.

31. Wang J.J., Lu X.X., Liew S.C., Zhou Y. (2009). Retrieval of suspended sediment concentrations in large turbid rivers using Landsat ETM+: an example from the Yangtze River, China, Earth Surface Processes and Landforms, 34, 1082 - 1092.

32. Wang X.J., Ma T. (2001). Application of remote sensing techniques in monitoring and assessing the water quality of Taihu Lake, Bulletin of Environmental Contamination and Toxicology, 67(2), 863 - 870.

33. Yepez S., Laraque A., De Sa J., Carrera J., Castenllanos B., Gallay M., Lopez J. (2018). Retrieval of suspended sediment concentrations using Landsat 8 OLI satellite images in the Orinoco River (Venezuela), Comptes Rendus Geoscience, Vol.350, Issues 1-2, 20 - 30.

34. Zhou W., Wang S., Zhou Y., Troy A. (2006). Mapping the concentrations of total suspended matter in Lake Taihu, China using Landsat 5 TM data, International Journal of Remote Sensing, 27(6), 1177 - 1191.


Review

For citations:


Trinh L., Zablotskii V.R., Le T., Hien Dinh T., Le T., Trinh T., Nga Nguyen T. ESTIMATION Of SUSPENDED SEDIMENT CONCENTRATION USING VNREDSAT – 1A MULTISPECTRAL DATA, A CASE STUDY IN RED RIVER, HANOI, VIETNAM. GEOGRAPHY, ENVIRONMENT, SUSTAINABILITY. 2018;11(3):49-60. https://doi.org/10.24057/2071-9388-2018-11-3-49-60

Views: 1963


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 2071-9388 (Print)
ISSN 2542-1565 (Online)