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. | Vietnam Journal of Earth Sciences, 39(3), 256-269, DOI: Vietnam Academy of Science and Technology Vietnam Journal of Earth Sciences (VAST) 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*1, Van Pham Dang Tri1, Nguyen Ba Duy2, Nguyen Chanh Nghiem1 1 Can Tho University, Campus 2, Xuan Khanh Ward, Ninh Kieu Dist., Can Tho City, Vietnam 2 Mining and Geology University, Duc Thang ward, North Tu Liem dist., Ha Noi, Vietnam Received 9 November 2016. Accepted 23 June 2017 ABSTRACT Surface water resources played a fundamental role in sustainable development of agriculture and aquaculture. In this study, the approach of Artificial Neuron Network was used to estimate and detect spatial changes of the Chemical Oxygen Demand (COD) concentration on optical remote sensing imagery (Landsat 8). Monitoring surface water quality was 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 study used the Landsat 8 (OLI) imagery as a main data source for estimating the COD concentration in river reaches of the Binh Dai district, Ben Tre province, a downstream river network of the Vietnamese Mekong Delta. The results indicated the significant correlation (R=) between the spectral reflectance values of Landsat 8 and the COD concentration by applying the Artificial Neuron Network approach. In short, 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. Keywords: Surface water quality, Chemical Oxygen Demand (COD), Landsat 8 (OLI), .
