| With the rise and development of satellite remote sensing,it has played an important role in promoting the research of water optics theory and biological optical properties research of oceanography.Water application based on optical remote sensing is also called water color remote sensing.Most of the water signals received by optical remote sensing sensors are atmospheric scattering signals,while only a small proportion of the signals which interact with water quality substances and reflect out of the water surface and are attenuated by the atmosphere are received by remote sensing sensors,and these signals really carry the material information in the water,also known as water-leaving radiation.In order to improve the quantification accuracy of water color remote sensing,it is essential to ensure the accuracy of extracting water-leaving radiation signals from the received signals of sensors,that is,to carry out high-precision atmospheric correction.The basic idea of atmospheric correction based on remote sensing of water color is to eliminate the absorption and scattering effects of atmosphere,including aerosol scattering and absorption,atmospheric molecule scattering and absorption,etc.Atmospheric correction is the basis of quantification in water color remote sensing.High-precision atmospheric correction can provide reliable data source for remote sensing inversion algorithm of water composition,which is very important for the inversion of water color elements.The inland water body has the characteristics of small area and scattered distribution area in space,and the environment is also likely to are greatly influenced by city factors,optical properties of the atmosphere above the water is complex and regional,it needs to be improved according to the actual situation,especially to develop suitable atmospheric correction algorithm according to the characteristics of satellite remote sensing data sources.Based on remote sensing data of a coastal or inland water demand and the characteristics of multi-source satellite remote sensor,Taihu Lake,a typical and hot inland water body in China,is selected as the research area.Multi-source satellite remote sensors with different spatial resolution and spectral resolution are selected as data sources,including medium spatial resolution multi-spectral remote sensor L8-OLI,low spatial resolution multi-spectral remote sensor AQUA-MODIS and medium spatial resolution hyperspectral remote sensor GF5-AHSI.In view of the characteristics of these multi-source satellite remote sensing data,the applicability of the atmospheric correction methods for inland water body is proposed and tested.L8-OLI data were used to modify the existing popular universal radiation transfer models FLAASH and 6SV.It is found that model modification can improve the accuracy of the original model to some extent.The overall accuracy of the modified M6 SV is higher than that of MFLAASH,and the accuracy is higher in the band of 561 and 655 nm.It has practical potential for the quantification of L8-OLI data in inland water bodies,and has the applicability of regional and cross-sensor.The results of the existing atmospheric correction model of AQUA-MODIS data were used for alternative calibration.The accuracy of atmospheric correction for AQUA-MODIS data by 561 and 655 nm band M6 SV is consistent with the alternative calibration method.The data quality of GF5-AHSI data was analyzed and evaluated,and it was considered that its band setting and signal-to-noise ratio were suitable for inland water monitoring.The process of atmospheric correction of GF5-AHSI data of inland water bodies with a modified model is summarized,and the synchronized AQUA-MODIS data is selected for cross validation without field measured surface spectral data and other synchronous satellite data.In addition,preliminary studies and discussions were conducted on the application of GF5-AHSI data,which proved that GF5-AHSI data has important potential in the application of inland waters... |
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