Environmental Science and Pollution Research

, Volume 25, Issue 36, pp 36775–36780 | Cite as

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

  • Yeonwoo Choo
  • Guyoung Kang
  • Dongmin Kim
  • Sungjong LeeEmail author
Short Research and Discussion Article


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.


Chlorophyll-a Multispectral Unmanned aerial vehicle 


Funding information

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).


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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Environmental ScienceHankuk University of Foreign StudiesYonginSouth Korea
  2. 2.Computer SciencesHankuk University of Foreign StudiesYonginSouth Korea

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