Detail Abstract

Remote sensing based indices for mapping of water quality in Thai Binh river at Hai Duong province

Abstract

This research explored the potential of remote sensing to estimate the relationship between sattelite spectrals and riverine environments, especially during extreme events when routine in-situ measurements are not available. Water quality parameters of Turbidity, Total Suspended Solids (TSS), Total Dissolved Solids (TDS), Biochemical Oxygen Demand (BOD), Chemical Oxygen Demand (COD), Amoni concentration, Chlorophyll-a and the Trophic state index (TSI) were calculated using the Landsat 8 data and were correlated to the near in-situ measurements using regression equations for quantitative estimation of water quality in the session of Thai Binh River at Hai Duong province. This technique, using the obtained coefficients was applied to map the water quality in the Thai Binh River during the seasons of Sep. 2016, Nov. 2019 and Jun. 2020, and found in a good general agreement with the field measurements. The preliminary results indicate that (1) Spectral bands from Landsat images have the potential to map the spatial distribution of water quality in river environments, (2) Remote sensing data can be used for quantitative estimation of water quality parameters in river environments when coupled with linear regression equations, and (3) the same approach can be used to estimate water quality in rivers within reasonable error limits. Acquisition of more in-situ measurements of are on going to derive more general regression coefficients and achieve more validation results.