Remote Sensing for Monitoring Surface Water Quality in the Vietnamese Mekong Delta: The Application for Estimating Chemical Oxygen Demand in River Reaches in Binh Dai, Ben Tre

Nguyen Thi Binh Phuong, Van Pham Dang Tri, Nguyen Ba Duy, Nguyen Chanh Nghiem
Author affiliations


  • Nguyen Thi Binh Phuong Can Tho University, Campus 2, Xuan Khanh ward, Ninh Kieu dist., Can Tho City, Vietnam
  • Van Pham Dang Tri Can Tho University, Campus 2, Xuan Khanh ward, Ninh Kieu dist., Can Tho City, Vietnam
  • Nguyen Ba Duy Mining and Geology University, Duc Thang ward, North Tu Liem dist., Ha Noi, Vietnam
  • Nguyen Chanh Nghiem Can Tho University, Campus 2, Xuan Khanh ward, Ninh Kieu dist., Can Tho City, Vietnam



Surface water quality, COD concentration, Landsat 8 (OLI), remote sensing, Artificial Neuron Network (ANN), Vietnamese Mekong Delta


In this study, the method of Fault Movement Potential (FMP) proposed by Lee et al. (1997) is used to assess the Surface water resources played a fundamental role in sustainable development of agriculture and aquaculture. They were the main sectors contributing to economic development in the Vietnamese Mekong Delta. Monitoring surface water quality was also one of the essential missions especially in the context of increasing freshwater demands and loads of wastewater fluxes. Recently, remote sensing technology has been widely applied in monitoring and mapping water quality at a regional scale replacing traditional field-based approaches. The aims of this study were to assess the application of the Landsat 8 (OLI) images for estimating Chemical Oxygen Demand (COD) as well as detecting spatial changes of the COD concentration in river reaches of the Binh Dai district, Ben Tre province, a downstream area of the delta. The results indicated the significant correlation (R=0.89) between the spectral reflectance values of Landsat 8 and the COD concentration by applying the Artificial Neuron Network (ANN) approach. In addition, the spatial distribution of the COD concentration was found slightly exceeded the national standard for irrigation according to the B1 column of QCVN 08:2015.


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How to Cite

Phuong, N. T. B., Tri, V. P. D., Duy, N. B., & Nghiem, N. C. (2017). Remote Sensing for Monitoring Surface Water Quality in the Vietnamese Mekong Delta: The Application for Estimating Chemical Oxygen Demand in River Reaches in Binh Dai, Ben Tre. Vietnam Journal of Earth Sciences, 39(3), 256–268.