Remote Sensing Estimation of Long-Term Total Suspended Matter Concentration from Landsat across Lake Qinghai
Total suspended matter (TSM) is one of the most widely used water quality parameters, which can influence the light transmission process, planktonic algae, and ecological health. A comprehensive field expedition aiming at water quality assessment was conducted for Lake Qinghai in September 2019. The...
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MDPI AG
2022-08-01
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| author | Weibang Li Qian Yang Yue Ma Ying Yang Kaishan Song Juan Zhang Zhidan Wen Ge Liu |
| author_facet | Weibang Li Qian Yang Yue Ma Ying Yang Kaishan Song Juan Zhang Zhidan Wen Ge Liu |
| author_sort | Weibang Li |
| collection | DOAJ |
| description | Total suspended matter (TSM) is one of the most widely used water quality parameters, which can influence the light transmission process, planktonic algae, and ecological health. A comprehensive field expedition aiming at water quality assessment was conducted for Lake Qinghai in September 2019. The in-situ measurements were used to support the calibration and validation of TSM concentration using Landsat images. A regional empirical model was established using the top-of-atmosphere (TOA) radiance of Landsat image data at the red band with a wavelength range of 640–670 nm. The coefficient of determination (R<sup>2</sup>), mean relative error (MRE), and root mean square error (RMSE) of the TSM estimation model were 0.81, 17.91%, and 0.61 mg/L, respectively. The model was further applied to 87 images during the periods from 1986 to 2020. A significant correlation was found between TSM concentration and daily wind speed (r = 0.74, <i>p</i> < 0.01, <i>n</i> = 87), which revealed the dominance of wind speed on TSM concentration. In addition, hydrological changes also had a significant influence on TSM variations of lake estuaries. |
| first_indexed | 2024-03-09T09:46:40Z |
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| issn | 2073-4441 |
| language | English |
| last_indexed | 2024-03-09T09:46:40Z |
| publishDate | 2022-08-01 |
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| spelling | doaj.art-3198ea6abc904f78a855456d79f502932023-12-02T00:27:51ZengMDPI AGWater2073-44412022-08-011416249810.3390/w14162498Remote Sensing Estimation of Long-Term Total Suspended Matter Concentration from Landsat across Lake QinghaiWeibang Li0Qian Yang1Yue Ma2Ying Yang3Kaishan Song4Juan Zhang5Zhidan Wen6Ge Liu7School of Geomatics and Prospecting Engineering, Jilin Jianzhu University, Changchun 130118, ChinaSchool of Geomatics and Prospecting Engineering, Jilin Jianzhu University, Changchun 130118, ChinaSchool of Geomatics and Prospecting Engineering, Jilin Jianzhu University, Changchun 130118, ChinaInstitute of Transportation Development Strategy & Planning of Sichuan Province, Chengdu 610041, ChinaRemote Sensing and Geographic Information Research Center, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, ChinaField Base Laboratory, Qinghai Institute of Meteorological Science, Xining 810001, ChinaRemote Sensing and Geographic Information Research Center, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, ChinaRemote Sensing and Geographic Information Research Center, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, ChinaTotal suspended matter (TSM) is one of the most widely used water quality parameters, which can influence the light transmission process, planktonic algae, and ecological health. A comprehensive field expedition aiming at water quality assessment was conducted for Lake Qinghai in September 2019. The in-situ measurements were used to support the calibration and validation of TSM concentration using Landsat images. A regional empirical model was established using the top-of-atmosphere (TOA) radiance of Landsat image data at the red band with a wavelength range of 640–670 nm. The coefficient of determination (R<sup>2</sup>), mean relative error (MRE), and root mean square error (RMSE) of the TSM estimation model were 0.81, 17.91%, and 0.61 mg/L, respectively. The model was further applied to 87 images during the periods from 1986 to 2020. A significant correlation was found between TSM concentration and daily wind speed (r = 0.74, <i>p</i> < 0.01, <i>n</i> = 87), which revealed the dominance of wind speed on TSM concentration. In addition, hydrological changes also had a significant influence on TSM variations of lake estuaries.https://www.mdpi.com/2073-4441/14/16/2498Lake QinghaiLandsat seriestotal suspended matterwind |
| spellingShingle | Weibang Li Qian Yang Yue Ma Ying Yang Kaishan Song Juan Zhang Zhidan Wen Ge Liu Remote Sensing Estimation of Long-Term Total Suspended Matter Concentration from Landsat across Lake Qinghai Water Lake Qinghai Landsat series total suspended matter wind |
| title | Remote Sensing Estimation of Long-Term Total Suspended Matter Concentration from Landsat across Lake Qinghai |
| title_full | Remote Sensing Estimation of Long-Term Total Suspended Matter Concentration from Landsat across Lake Qinghai |
| title_fullStr | Remote Sensing Estimation of Long-Term Total Suspended Matter Concentration from Landsat across Lake Qinghai |
| title_full_unstemmed | Remote Sensing Estimation of Long-Term Total Suspended Matter Concentration from Landsat across Lake Qinghai |
| title_short | Remote Sensing Estimation of Long-Term Total Suspended Matter Concentration from Landsat across Lake Qinghai |
| title_sort | remote sensing estimation of long term total suspended matter concentration from landsat across lake qinghai |
| topic | Lake Qinghai Landsat series total suspended matter wind |
| url | https://www.mdpi.com/2073-4441/14/16/2498 |
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