Literature DB >> 30421371

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

Yeonwoo Choo1, Guyoung Kang1, Dongmin Kim2, Sungjong Lee3.   

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.

Entities:  

Keywords:  Chlorophyll-a; Multispectral; Unmanned aerial vehicle

Mesh:

Substances:

Year:  2018        PMID: 30421371     DOI: 10.1007/s11356-018-3578-6

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  4 in total

1.  Harmful cyanobacterial blooms: causes, consequences, and controls.

Authors:  Hans W Paerl; Timothy G Otten
Journal:  Microb Ecol       Date:  2013-01-13       Impact factor: 4.552

2.  Integrated satellite data fusion and mining for monitoring lake water quality status of the Albufera de Valencia in Spain.

Authors:  Carolina Doña; Ni-Bin Chang; Vicente Caselles; Juan M Sánchez; Antonio Camacho; Jesús Delegido; Benjamin W Vannah
Journal:  J Environ Manage       Date:  2015-01-17       Impact factor: 6.789

3.  Use of satellite imagery to assess the trophic state of Miyun Reservoir, Beijing, China.

Authors:  Wang Zhengjun; Hong Jianming; Du Guisen
Journal:  Environ Pollut       Date:  2007-12-21       Impact factor: 8.071

4.  Improvement of remote monitoring on water quality in a subtropical reservoir by incorporating grammatical evolution with parallel genetic algorithms into satellite imagery.

Authors:  Li Chen; Chih-Hung Tan; Shuh-Ji Kao; Tai-Sheng Wang
Journal:  Water Res       Date:  2007-07-20       Impact factor: 11.236

  4 in total

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