Skip to main content
Log in

A study on the evaluation of water-bloom using image processing

  • Short Research and Discussion Article
  • Published:
Environmental Science and Pollution Research Aims and scope Submit manuscript

Abstract

This study utilized remote sensing techniques using an unmanned aerial vehicle (UAV) with an attached multispectral sensor to monitor the Nakdong River. In this study, chlorophyll-a, an indicator of water quality and the normalization difference vegetation index (NDVI), which indicates the vitality of plant growth was employed. NDVI images were generated using georeferenced and Orthomosaic images. The data (field samples) used to conduct the study was collected in September 2017. The relationship between the chlorophyll-a concentrations and NDVI was then examined. The results of the relationship can be used in monitoring of green algae for water quality management.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

References

Download references

Funding

This research was supported by a grant (17CTAP-C117026-02) from Technology Advancement Research Program funded by Ministry of Land, Infrastructure and Transport of Korean government also was supported by a funding from Hankuk University of Foreign Studies (2017).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Sungjong Lee.

Additional information

Responsible editor: Vitor Manuel Oliveira Vasconcelos

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Choo, Y., Kang, G., Kim, D. et al. A study on the evaluation of water-bloom using image processing. Environ Sci Pollut Res 25, 36775–36780 (2018). https://doi.org/10.1007/s11356-018-3578-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11356-018-3578-6

Keywords

Navigation