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Analysis of water quality in Miharu dam reservoir, Japan, using UAV data
Author(s) -
Kageyama Yoichi,
Takahashi Junsuke,
Nishida Makoto,
Kobori Bunyuu,
Nagamoto Daisuke
Publication year - 2016
Publication title -
ieej transactions on electrical and electronic engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.254
H-Index - 30
eISSN - 1931-4981
pISSN - 1931-4973
DOI - 10.1002/tee.22253
Subject(s) - water quality , environmental science , hydrology (agriculture) , blue green algae , engineering , geology , ecology , geotechnical engineering , cyanobacteria , paleontology , bacteria , biology
This letter reports on the water quality conditions of the Miharu Dam Reservoir. The water quality conditions appear in near‐infrared (NIR) data collected by an unmanned aerial vehicle (UAV). Because blue‐green algae occur in summer, the water quality of the small lake will be significantly worse at that time. On the basis of the experimental results for data from the months of July and August obtained using a fuzzy regression model, it is found that the UAV data is useful in assessing the water quality conditions in Lake Sakurako, and that the NIR data is effective in estimating the water surface conditions of the lake, especially caused by the occurrence of blue‐green algae. © 2016 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.