Winter Water Quality Modeling in Xiong’an New Area Supported by Hyperspectral Observation
Xiong’an New Area is defined as the future city of China, and the regulation of water resources is an important part of the scientific development of the city. Baiyang Lake, the main supplying water for the city, is selected as the study area, and the water quality extraction of four typical river s...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-04-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/23/8/4089 |
| _version_ | 1797603536632020992 |
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| author | Yuechao Yang Donghui Zhang Xusheng Li Daming Wang Chunhua Yang Jianhua Wang |
| author_facet | Yuechao Yang Donghui Zhang Xusheng Li Daming Wang Chunhua Yang Jianhua Wang |
| author_sort | Yuechao Yang |
| collection | DOAJ |
| description | Xiong’an New Area is defined as the future city of China, and the regulation of water resources is an important part of the scientific development of the city. Baiyang Lake, the main supplying water for the city, is selected as the study area, and the water quality extraction of four typical river sections is taken as the research objective. The GaiaSky-mini2-VN hyperspectral imaging system was executed on the UAV to obtain the river hyperspectral data for four winter periods. Synchronously, water samples of COD, PI, AN, TP, and TN were collected on the ground, and the in situ data under the same coordinate were obtained. A total of 2 algorithms of band difference and band ratio are established, and the relatively optimal model is obtained based on 18 spectral transformations. The conclusion of the strength of water quality parameters’ content along the four regions is obtained. This study revealed four types of river self-purification, namely, uniform type, enhanced type, jitter type, and weakened type, which provided the scientific basis for water source traceability evaluation, water pollution source area analysis, and water environment comprehensive treatment. |
| first_indexed | 2024-03-11T04:33:31Z |
| format | Article |
| id | doaj.art-ea83e4f4be2d493eb20ee61c5acf9a80 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-11T04:33:31Z |
| publishDate | 2023-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-ea83e4f4be2d493eb20ee61c5acf9a802023-11-17T21:18:54ZengMDPI AGSensors1424-82202023-04-01238408910.3390/s23084089Winter Water Quality Modeling in Xiong’an New Area Supported by Hyperspectral ObservationYuechao Yang0Donghui Zhang1Xusheng Li2Daming Wang3Chunhua Yang4Jianhua Wang5National Key Laboratory of Remote Sensing Information and Imagery Analyzing Technology, Beijing Research Institute of Uranium Geology, Beijing 100029, ChinaAerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaNational Key Laboratory of Remote Sensing Information and Imagery Analyzing Technology, Beijing Research Institute of Uranium Geology, Beijing 100029, ChinaTianjin Centre of Geological Survey, China Geological Survey, Tianjin 300170, ChinaChongqing Academy of Ecology and Environmental Science, Chongqing 401147, ChinaAerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaXiong’an New Area is defined as the future city of China, and the regulation of water resources is an important part of the scientific development of the city. Baiyang Lake, the main supplying water for the city, is selected as the study area, and the water quality extraction of four typical river sections is taken as the research objective. The GaiaSky-mini2-VN hyperspectral imaging system was executed on the UAV to obtain the river hyperspectral data for four winter periods. Synchronously, water samples of COD, PI, AN, TP, and TN were collected on the ground, and the in situ data under the same coordinate were obtained. A total of 2 algorithms of band difference and band ratio are established, and the relatively optimal model is obtained based on 18 spectral transformations. The conclusion of the strength of water quality parameters’ content along the four regions is obtained. This study revealed four types of river self-purification, namely, uniform type, enhanced type, jitter type, and weakened type, which provided the scientific basis for water source traceability evaluation, water pollution source area analysis, and water environment comprehensive treatment.https://www.mdpi.com/1424-8220/23/8/4089hyperspectral imagerUAV remote sensingwater quality modelingXiong’an New Areahyperspectral remote sensingGaiaSky-mini2-VN |
| spellingShingle | Yuechao Yang Donghui Zhang Xusheng Li Daming Wang Chunhua Yang Jianhua Wang Winter Water Quality Modeling in Xiong’an New Area Supported by Hyperspectral Observation Sensors hyperspectral imager UAV remote sensing water quality modeling Xiong’an New Area hyperspectral remote sensing GaiaSky-mini2-VN |
| title | Winter Water Quality Modeling in Xiong’an New Area Supported by Hyperspectral Observation |
| title_full | Winter Water Quality Modeling in Xiong’an New Area Supported by Hyperspectral Observation |
| title_fullStr | Winter Water Quality Modeling in Xiong’an New Area Supported by Hyperspectral Observation |
| title_full_unstemmed | Winter Water Quality Modeling in Xiong’an New Area Supported by Hyperspectral Observation |
| title_short | Winter Water Quality Modeling in Xiong’an New Area Supported by Hyperspectral Observation |
| title_sort | winter water quality modeling in xiong an new area supported by hyperspectral observation |
| topic | hyperspectral imager UAV remote sensing water quality modeling Xiong’an New Area hyperspectral remote sensing GaiaSky-mini2-VN |
| url | https://www.mdpi.com/1424-8220/23/8/4089 |
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