Multispectral sensors carried on unmanned aerial vehicle (UAV) for trophic state mapping of the small reservoir in Kinmen, Taiwan

Multispectral as well as multi-temporal satellite images coupled with sampling in situ have been widely applied to 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 sampling in situ is usually a few days or weeks that hampers establishment of regression models between band ratios and water quality parameters. In this research, the multispectral sensors carried on 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. The experimental result indicates 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.