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
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...
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| Format: | Article |
| Language: | English |
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MDPI AG
2015-08-01
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| Series: | Remote Sensing |
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| Online Access: | http://www.mdpi.com/2072-4292/7/8/10078 |
| _version_ | 1818870500701503488 |
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| author | Tung-Ching Su Hung-Ta Chou |
| author_facet | Tung-Ching Su Hung-Ta Chou |
| author_sort | Tung-Ching Su |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-19T12:08:01Z |
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| id | doaj.art-be8304eda66b408d9c77c808c48d8216 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-12-19T12:08:01Z |
| publishDate | 2015-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-be8304eda66b408d9c77c808c48d82162022-12-21T20:22:17ZengMDPI AGRemote Sensing2072-42922015-08-0178100781009710.3390/rs70810078rs70810078Application 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, TaiwanTung-Ching Su0Hung-Ta Chou1Department of Civil Engineering and Engineering Management, National Quemoy University, 1 Da Xue Rd., Kinmen 892, TaiwanFlying-Aerialphoto Information Co. Ltd., Room 127,CPIC,151, Yingzhuan Rd., Tamsui Dist., New Taipei City 251, TaiwanMultispectral, 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.http://www.mdpi.com/2072-4292/7/8/10078multispectral imageryunmanned aerial vehicle (UAV)small reservoirtrophic state mappingmatching pixel by pixel (MPP) method |
| spellingShingle | Tung-Ching Su Hung-Ta Chou 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 Sensing multispectral imagery unmanned aerial vehicle (UAV) small reservoir trophic state mapping matching pixel by pixel (MPP) method |
| title | 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 |
| title_full | 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 |
| title_fullStr | 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 |
| title_full_unstemmed | 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 |
| title_short | 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 |
| title_sort | 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 |
| topic | multispectral imagery unmanned aerial vehicle (UAV) small reservoir trophic state mapping matching pixel by pixel (MPP) method |
| url | http://www.mdpi.com/2072-4292/7/8/10078 |
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