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, TaiwanReportar como inadecuado




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 - Descarga este documento en PDF. Documentación en PDF para descargar gratis. Disponible también para leer online.

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

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





Autor: Tung-Ching Su 1,* and Hung-Ta Chou 2

Fuente: http://mdpi.com/



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