การประมาณค่าความขุ่นของน้ำ จากภาพถ่ายดาวเทียม Sentinel-2 หลายช่วงเวลา เพื่อเพิ่มศักยภาพการประเมินคุณภาพน้ำเพื่อการอุปโภคและบริโภค Retrieval of Water Turbidity Using Sentinel-2 Image Time Series to Enhance Water Quality Assessment for Consumption

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ธีรวัฒน์ สุวรรณเลิศเจริญ Teerawat Suwanlertcharoen
ศิริลักษณ์ พฤกษ์ปิติกุล Siriluk Prukpitikul
วราทิพย์ บัวแก้ว Varatip Buakaew

Abstract

Objectives of this study is to develop an algorithm for estimating water turbidity from Sentinel-2A and Sentinel-2B satellite images by comparing with the surface reflectance and turbidity from an automatic water quality measurement station at the same time and to study the changes in water turbidity from Sentinel-2 satellite images at various times around the river and the Chao Phraya Delta between 18 December 2016 and 28 December 2018. The preliminary data analysis process consists of the atmospheric correction from L1C product data to L2A product data by using Sen2Cor method. The results showed that the relationship between surface reflectance of satellite images and turbidity values from the automatic water quality measurement stations of the Metropolitan Waterworks Authority at Wat Ban Paeng station and Phra Nang Klao Bridge station for several periods by analyzing Linear Regression which has a significant relationship with decision coefficient (R2) of 0.87. The red wavelengths (band 4) used in the development of the algorithm for estimating the turbidity of water. For changing the turbidity values ​​of various periods from satellite, images can be used as a tool for evaluating and tracking the spatial turbidity changes in each period. This can be used to assess the primary physical water quality before entering the tap water production system including areas that may be affected, such as aquaculture, etc. in the study area efficiently.

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How to Cite
Teerawat Suwanlertcharoenธ. ส., Siriluk Prukpitikulศ. พ., & Varatip Buakaewว. บ. (2020). การประมาณค่าความขุ่นของน้ำ จากภาพถ่ายดาวเทียม Sentinel-2 หลายช่วงเวลา เพื่อเพิ่มศักยภาพการประเมินคุณภาพน้ำเพื่อการอุปโภคและบริโภค Retrieval of Water Turbidity Using Sentinel-2 Image Time Series to Enhance Water Quality Assessment for Consumption. JOURNAL OF ENVIRONMENTAL MANAGEMENT, 16(2), 74-93. Retrieved from https://so02.tci-thaijo.org/index.php/JEM/article/view/242606
Section
บทความวิจัย Research

References

Borok, A. (2014). Turbidity Technical Review: Summary of Sources, Effects, and Issues Related to Revising the Statewide Water Quality Standard for Turbidity. Oregon Department of Environmental Quality.
Constantin, S., Doxaran, D., Constantinescu, S. (2016). Estimation of Water Turbidity and Analysis of Its Spatio-Temporal Variability in the Danube River Plume (Black Sea) Using MODIS Satellite Data. Continental Shelf Research 112, 14–30.
Department of Health. (2015). Water Pollution and Health Impacts [In Thai]. Health Impact Assessment Division, Department of Health, Ministry of Public Health.
European Space Agency. (2012). Sentinel-2: ESA’s Optical High-Resolution Mission for GMES Operational Services. ESA Communications, Netherlands.
European Space Agency. (2019). Copernicus Open Access Hub. Retrieved Feb 11, 2019, from https://scihub.copernicus.eu/
Guttler, F.N., Niculescu, S., and Gohin, F. (2013). Turbidity Retrieval and Monitoring of Danube Delta Waters Using Multisensor Optical Remote Sensing Data: An Integrated View from the Delta Plain Lakes to the Western- Northwestern Black Sea Coastal Zone. Remote Sens. Environ. 132, 86.
Hydro and Agro Informatics Institute. (2012). Data Warehouse System Development Project of 25 Basin and Flood and Drought Modeling [In Thai]. Retrieved May 13, 2020, from http://www.thaiwater.net/web/attachments/25basins/10-chaopraya.pdf
Louis, J., Debaecker, V., Pflug, B., Main-Knorn, M., Bieniarz, J., Mueller-Wilm, U., Cadau, E., and Gascon, F. (2016). Sentinel-2 Sen2Cor: L2A Processor for Users. Proc. ‘Living Planet Symposium 2016’, Prague, Czech Republic, 9–13 May 2016 (ESA SP-740, August 2016)
Pollution Control Department. (2005). Thailand State of Pollution Report 2005 [In Thai]. Pollution Control Department, Bangkok.
Pollution Control Department. (2020). Water Quality and Water Pollution [In Thai]. Retrieved May 10, 2020, from http://www.pcd.go.th/contact/FAQs_water.html
Quang, N.H., Sasaki, J., Higa, H. and Huan, N.H. (2017). Spatiotemporal Variation of Turbidity Based on Landsat 8 OLI in Cam Ranh Bay and Thuy Trieu Lagoon, Vietnam. Water 2017, 9, 570
Ritchie, J.C., McHenry J.R., Schiebe F.R. and Wilson, R.B. (1974). The Relationship of Reflected Solar Radiation and the Concentration of Sediment in the Surface Water of Reservoirs. Remote Sensing of Earth Resources Vol. III (F. Shahrokhi, editor), The University of Tennessee Space Institute, Tullahoma, Tennessee,pp. 57–72.
Ritchie, C.J., Zimba, V.P., Everitt, H.J. (2003). Remote Sensing Techniques to Assess Water Quality. Photogramm. Eng. Remote Sens. 69, 695–704.
Shen, X. and Feng, Q. (2018). Statistical Model and Estimation of Inland Riverine Turbidity with Landsat 8 OLI Images: A Case Study. Environmental Engineering Science. Volume: 35 Issue 2.
Simis, S.G.H., Ruiz-Verdu, A., Dominguez-Gomez, J.A., Pena-Martinez, R., Peters, S.W.M., and Gons, H.J. (2007). Influence of Phytoplankton Pigment Composition on Remote Sensing of Cyanobacterial Biomass. Remote Sens. Environ. 106, 414.