Variability of particulate organic carbon in inland waters observed from MODIS Aqua imagery
Surface concentrations of particulate organic carbon (POC) in shallow inland lakes were estimated using MODIS Aqua data. A power regression model of the direct empirical relationship between POC and the atmospherically Rayleigh-corrected MODIS product ( R _rc,645 - R _rc,1240 )/( R _rc,859 - R _rc,1...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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IOP Publishing
2014-01-01
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| Series: | Environmental Research Letters |
| Subjects: | |
| Online Access: | https://doi.org/10.1088/1748-9326/9/8/084011 |
| _version_ | 1797747855684796416 |
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| author | Hongtao Duan Lian Feng Ronghua Ma Yuchao Zhang Steven Arthur Loiselle |
| author_facet | Hongtao Duan Lian Feng Ronghua Ma Yuchao Zhang Steven Arthur Loiselle |
| author_sort | Hongtao Duan |
| collection | DOAJ |
| description | Surface concentrations of particulate organic carbon (POC) in shallow inland lakes were estimated using MODIS Aqua data. A power regression model of the direct empirical relationship between POC and the atmospherically Rayleigh-corrected MODIS product ( R _rc,645 - R _rc,1240 )/( R _rc,859 - R _rc,1240 ) was developed ( R ^2 = 0.72, RMSE = 35.86 μ gL ^−1 , p < 0.0001, N = 47) and validated (RMSE = 44.46 μ gL ^−1 , N = 16) with field data from 56 lakes in the Middle and Lower reaches of the Yangtze River, China. This algorithm was applied to an 11 year series of MODIS data to determine the spatial and temporal distribution of POC in a wide range of lakes with different trophic and optical properties. The results indicate that there is a general increase in minimum POC concentrations in lakes from middle to lower reaches of the Yangtze River. The temporal dynamics of springtime POC in smaller lakes were found to be influenced by local meteorological conditions, in particular precipitation and wind speed, while larger lakes were found to be more sensitive to air temperature. |
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| format | Article |
| id | doaj.art-4d7f5cf6555446abb54ee6193f3f507f |
| institution | Directory Open Access Journal |
| issn | 1748-9326 |
| language | English |
| last_indexed | 2024-03-12T15:57:35Z |
| publishDate | 2014-01-01 |
| publisher | IOP Publishing |
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| series | Environmental Research Letters |
| spelling | doaj.art-4d7f5cf6555446abb54ee6193f3f507f2023-08-09T14:47:58ZengIOP PublishingEnvironmental Research Letters1748-93262014-01-019808401110.1088/1748-9326/9/8/084011Variability of particulate organic carbon in inland waters observed from MODIS Aqua imageryHongtao Duan0Lian Feng1Ronghua Ma2Yuchao Zhang3Steven Arthur Loiselle4State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, People’s Republic of ChinaState Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University , Wuhan 430079, People’s Republic of ChinaState Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, People’s Republic of ChinaState Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, People’s Republic of ChinaDipartimento Farmaco Chimico Tecnologico, CSGI, University of Siena , Siena, ItalySurface concentrations of particulate organic carbon (POC) in shallow inland lakes were estimated using MODIS Aqua data. A power regression model of the direct empirical relationship between POC and the atmospherically Rayleigh-corrected MODIS product ( R _rc,645 - R _rc,1240 )/( R _rc,859 - R _rc,1240 ) was developed ( R ^2 = 0.72, RMSE = 35.86 μ gL ^−1 , p < 0.0001, N = 47) and validated (RMSE = 44.46 μ gL ^−1 , N = 16) with field data from 56 lakes in the Middle and Lower reaches of the Yangtze River, China. This algorithm was applied to an 11 year series of MODIS data to determine the spatial and temporal distribution of POC in a wide range of lakes with different trophic and optical properties. The results indicate that there is a general increase in minimum POC concentrations in lakes from middle to lower reaches of the Yangtze River. The temporal dynamics of springtime POC in smaller lakes were found to be influenced by local meteorological conditions, in particular precipitation and wind speed, while larger lakes were found to be more sensitive to air temperature.https://doi.org/10.1088/1748-9326/9/8/084011POCalgorithminland lakesremote sensingcarbon cycling |
| spellingShingle | Hongtao Duan Lian Feng Ronghua Ma Yuchao Zhang Steven Arthur Loiselle Variability of particulate organic carbon in inland waters observed from MODIS Aqua imagery Environmental Research Letters POC algorithm inland lakes remote sensing carbon cycling |
| title | Variability of particulate organic carbon in inland waters observed from MODIS Aqua imagery |
| title_full | Variability of particulate organic carbon in inland waters observed from MODIS Aqua imagery |
| title_fullStr | Variability of particulate organic carbon in inland waters observed from MODIS Aqua imagery |
| title_full_unstemmed | Variability of particulate organic carbon in inland waters observed from MODIS Aqua imagery |
| title_short | Variability of particulate organic carbon in inland waters observed from MODIS Aqua imagery |
| title_sort | variability of particulate organic carbon in inland waters observed from modis aqua imagery |
| topic | POC algorithm inland lakes remote sensing carbon cycling |
| url | https://doi.org/10.1088/1748-9326/9/8/084011 |
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