ALGORITHM DEVELOPMENT OF SATELLITE IMAGE PROCESSING TO DETECT THE CONCENTRATION OF SUSPENDED PARTICULATE MATTER IN COASTAL WATERS OF RED RIVER DELTA

Nguyen Van Thao; Vu Duy Vinh; Nguyen Dac Ve; Pham Xuan Canh

doi:10.15625/1859-3097/16/2/8446

Author affiliations

Authors

Nguyen Van Thao Institute of Marine Environment and Resources-VAST
Vu Duy Vinh Institute of Marine Environment and Resources-VAST
Nguyen Dac Ve Institute of Marine Environment and Resources-VAST
Pham Xuan Canh Hanoi University of Science-VNU

DOI:

https://doi.org/10.15625/1859-3097/16/2/8446

Keywords:

Red River Delta, sedimentation, satelite images.

Abstract

In this research, a set of optical data measured in the coastal waters of Red River Delta is used to develop the empirical algorithm for detecting the concentration of suspended particulate matter (SPM). The result of the study shows that the relationship between water-leaving reflectance and the concentration of SPM follows polynomial function with correlative coefficient (R²) > 0.9. Landsat-8 OLI and VNREDSAT-1 satellite images were used to apply this algorithm for detecting the concentration of SPM in the coastal waters of Red River Delta. The concentrations of SPM from image processing and numerical model are much close to each other. The study result will be a valuable reference for studying on water quality in coastal area from remote sensing.

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References

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