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

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...

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Veröffentlicht in:	Environmental science and pollution research international 2018-12, Vol.25 (36), p.36775-36780
Hauptverfasser:	Choo, Yeonwoo, Kang, Guyoung, Kim, Dongmin, Lee, Sungjong
Format:	Artikel
Sprache:	eng
Schlagworte:	Algae Aquatic plants Aquatic Pollution Atmospheric Protection/Air Quality Control/Air Pollution Chlorophyll Chlorophyll A - analysis Chlorophyta - growth & development Earth and Environmental Science Ecotoxicology Environment Environmental Chemistry Environmental Health Environmental Monitoring - methods Environmental science Eutrophication Image processing Image Processing, Computer-Assisted Plant growth Quality management Remote sensing Remote Sensing Technology - methods Republic of Korea Rivers Rivers - chemistry Short Research and Discussion Article Unmanned aerial vehicles Vegetation index Waste Water Technology Water Management Water Pollution - analysis Water Pollution Control Water quality Water quality management
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Beschreibung
Zusammenfassung:	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.
ISSN:	0944-1344 1614-7499
DOI:	10.1007/s11356-018-3578-6