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Related Experiment Video

Updated: Feb 2, 2026

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

Yeonwoo Choo1, Guyoung Kang1, Dongmin Kim2

  • 1Environmental Science, Hankuk University of Foreign Studies, Oedaelo 81, Wangsan-ri, Mohyeon-myeon, Yongin-si, Gyeonggi-do, Yongin, Seoul, South Korea.

Environmental Science and Pollution Research International
|November 14, 2018
PubMed
Summary
This summary is machine-generated.

Unmanned aerial vehicles and multispectral sensors monitored the Nakdong River. The study found a relationship between chlorophyll-a and NDVI, useful for green algae water quality management.

Keywords:
Chlorophyll-aMultispectralUnmanned aerial vehicle

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Area of Science:

  • Environmental Science
  • Remote Sensing Technology
  • Water Quality Monitoring

Background:

  • The Nakdong River ecosystem faces challenges from water quality degradation.
  • Effective monitoring of water quality indicators like chlorophyll-a is crucial.
  • Remote sensing offers a non-invasive method for large-scale environmental assessment.

Purpose of the Study:

  • To assess the feasibility of using Unmanned Aerial Vehicle (UAV) multispectral remote sensing for Nakdong River monitoring.
  • To investigate the relationship between chlorophyll-a concentrations and the Normalized Difference Vegetation Index (NDVI) in the river.
  • To explore the application of these findings for green algae monitoring and water quality management.

Main Methods:

  • Utilized a UAV equipped with a multispectral sensor for data acquisition.
  • Generated georeferenced and orthomosaic images from UAV data.
  • Collected field samples in September 2017 for ground-truthing.
  • Analyzed the correlation between chlorophyll-a concentrations and NDVI values.

Main Results:

  • Successfully generated NDVI images from UAV-based multispectral data.
  • Established a quantifiable relationship between chlorophyll-a concentrations and NDVI.
  • Demonstrated the potential of NDVI as an indicator for chlorophyll-a levels in the Nakdong River.

Conclusions:

  • UAV-based multispectral remote sensing is a viable tool for monitoring Nakdong River water quality.
  • The identified relationship between chlorophyll-a and NDVI can support early detection of green algae blooms.
  • This approach offers an efficient method for proactive water quality management.