3 years ago

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

Yeonwoo Choo, Guyoung Kang, Dongmin Kim, Sungjong Lee


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.

Publisher URL: https://link.springer.com/article/10.1007/s11356-018-3578-6

DOI: 10.1007/s11356-018-3578-6

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