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

Environ Sci Pollut Res Int. 2018 Dec;25(36):36775-36780. doi: 10.1007/s11356-018-3578-6. Epub 2018 Nov 12.

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.

Keywords: Chlorophyll-a; Multispectral; Unmanned aerial vehicle.

MeSH terms

  • Chlorophyll A / analysis
  • Chlorophyta / growth & development*
  • Environmental Monitoring / methods*
  • Eutrophication*
  • Image Processing, Computer-Assisted
  • Remote Sensing Technology / methods*
  • Republic of Korea
  • Rivers / chemistry*
  • Water Pollution / analysis*

Substances

  • Chlorophyll A