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Remote Sens. 2015, 7(8), 10078-10097; doi:10.3390/rs70810078

Application of Multispectral Sensors Carried on Unmanned Aerial Vehicle (UAV) to Trophic State Mapping of Small Reservoirs: A Case Study of Tain-Pu Reservoir in Kinmen, Taiwan

1
Department of Civil Engineering and Engineering Management, National Quemoy University, 1 Da Xue Rd., Kinmen 892, Taiwan
2
Flying-Aerialphoto Information Co. Ltd., Room 127,CPIC,151, Yingzhuan Rd., Tamsui Dist., New Taipei City 251, Taiwan
*
Author to whom correspondence should be addressed.
Academic Editors: Gonzalo Pajares Martinsanz, Richard Müller, Arko Lucieer and Prasad S. Thenkabail
Received: 16 April 2015 / Revised: 17 July 2015 / Accepted: 31 July 2015 / Published: 7 August 2015
View Full-Text   |   Download PDF [904 KB, uploaded 7 August 2015]   |  

Abstract

Multispectral, as well as multi-temporal, satellite images, coupled with measurements, in situ, have been widely applied to the water quality monitoring of reservoirs. However, the spatial resolutions of the current multispectral satellite imageries are inadequate for trophic state mapping of small reservoirs which merely cover several hectares. Moreover, the temporal gap between effective satellite imaging and measurements, in situ, is usually a few days or weeks; this time lag hampers the establishment of regression models between band ratios and water quality parameters. In this research, the RGB and NIR sensors carried on an unmanned aerial vehicle (UAV) were applied to the trophic state mapping of Tain-Pu reservoir, which is one of the small reservoirs in Kinmen, Taiwan. Due to the limited sampling points and the uncertainty of water fluidity, the average method and the matching pixel-by-pixel (MPP) method were employed to search for the optimal regression models. The experimental results indicate that the MPP method can lead to better regression models than the average method, and the trophic state maps show that the averages of Chl-a, TP, and SD are 179.7 μg·L−1, 108.4 μg·L−1, and 1.4 m, respectively. View Full-Text
Keywords: multispectral imagery; unmanned aerial vehicle (UAV); small reservoir; trophic state mapping; matching pixel by pixel (MPP) method multispectral imagery; unmanned aerial vehicle (UAV); small reservoir; trophic state mapping; matching pixel by pixel (MPP) method
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Su, T.-C.; Chou, H.-T. Application of Multispectral Sensors Carried on Unmanned Aerial Vehicle (UAV) to Trophic State Mapping of Small Reservoirs: A Case Study of Tain-Pu Reservoir in Kinmen, Taiwan. Remote Sens. 2015, 7, 10078-10097.

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