ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume VI-3/W1-2020
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., VI-3/W1-2020, 91–97, 2020
https://doi.org/10.5194/isprs-annals-VI-3-W1-2020-91-2020
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., VI-3/W1-2020, 91–97, 2020
https://doi.org/10.5194/isprs-annals-VI-3-W1-2020-91-2020

  17 Nov 2020

17 Nov 2020

TOTAL SUSPENDED SOLID DISTRIBUTION IN HAU RIVER USING SENTINEL 2A SATELLITE IMAGERY

T. H. D. Nguyen1, K. D. Phan1, H. T. T. Nguyen2, S. N. Tran1, T. G. Tran1, B. L. Tran1, and T. N. Doan1 T. H. D. Nguyen et al.
  • 1College of Environment and Natural Resources, Can Tho University, Vietnam
  • 2Tay Nguyen University, Vietnam

Keywords: Setinel 2A satellite imagery, Normalized Suspended Material Index (NSMI), total suspended solids (TSS), An Giang province

Abstract. This research was applied high-resolution Sentinel-2A imagery which aims to monitor a suitability of MultiSpectral Imager (MSI) at higher resolution (10 m) for mapping of Total Suspended Solids (TSS) ) in the upper reaches of the Mekong Delta – An Giang province. The field survey is carried out to collect TSS at random distribution sites outside full-dyke protection. A remote sensing algorithm with a regression function method is developed to estimate TSS concentration automatically to select between the most sensitive TSS and water reflectance relationship. The regression analytical algorithm is predicted the output values based on normalized suspended material index (NSMI) (r2 = 0.92), showing the MSI sensor’s great potential to estimate TSS. The results confirm that suspended materials in the surface water reached the minimum of 10.36 mg/l and the maximum of 328.56 mg/l in An Giang province, the suspended materials distributional tendency with high content was mainly in flooded fields near the upstream of the basin of Hau river, especially in areas without the dike enclosure and the content was low in the areas within the dike enclosure. These findings promote further research in water quality studies relying on both operational Sentinel-2A and Sentinel-2B imageries with great implications to improve the understanding of turbid coastal and inland water environments.