首页|Calculation of the Water-leaving Reflectance Based on Aerosol Information Retrieved from NIR/SWIR bands

Calculation of the Water-leaving Reflectance Based on Aerosol Information Retrieved from NIR/SWIR bands

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Compare with the reflectance of land surface, ocean water is much less。 And,the contribution of atmospheric molecules and aerosols plays an vital importance onthe water-leaving reflectance inversion。 In order to simplify the inversion process, wegenerate a look-up-table(LUT) that contains the observation geometry information, theaerosol optical depth(AOD), the exponent of Junge power law(V) and the other factorsused to calculate the water-leaving reflectance。 The AOD and V are determined usingour previous iterative algorithm from dual near-infrared(NIR) and dual shortwaveinfrared(SWIR) channels, respectively。 We compare the retrieved AOD and V withAerosol Robotic Network(AERONET) measurement datas to ensure the precision ofaerosol information。 The AERONET AOD at 550nm is 0。0876, and the inversed AODfrom dual-NIR and dual-SWIR is 0。05-0。325 and 0。0373-0。98, respectively。 For dual-NIR, there are 31。97% and 57。18% pixels with the AOD absolute relative error lessthan 10% and 20%, respectively。 For dual-SWIR, there are 31。01% and 59。79%。 Then,we use the retrieved aerosol information together with the observation geometryinformation to get the factors used to calculate the water-leaving reflectance throughinterpolation。 Finally, we use the MODIS ocean color product to verify the waterleavingreflectance calculated based on aerosol retrieved from NIR and SWIR, and thetwo calculated water-leaving reflectance are marked as NIR and SWIR。 In the visibleand near-infrared region, both of them are smaller than the product values。 Despite theρ_(SWIR) is larger than ρ_(NIR), the overcorrection is much more serious in ρ_(NIR)。

Zhu Lin、Yang Fanlin、Zhou Xinghua、Xu Qingshan、Yang Lei、Yin Huan

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College of Geomatics, Shandong University of Science and Technology, Qingdao 266590, China

College of Geomatics, Shandong University of Science and Technology, Qingdao 266590, China,Key Laboratory of Surveying and Mapping Technology on Island and Reef, NASG, Qingdao 266590, China

The First Institute of Oceanography, MNR, Qingdao 266061, China

Anhui Institute of Optics and Fine Mechanics,Chinese Academy of Sciences, Hefei 230031, China

Anhui Institute of Optics and Fine Mechanics,Chinese Academy of Sciences, Hefei 230031, China,DFH Satellite Corporation Limited, Beijing 100094, China

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Target Recognition and Artificial Intelligence Summit Forum;Society of Photo-Optical Instrumentation Engineers

Shenyang(CN);

Second Target Recognition and Artificial Intelligence Summit Forum

114272G.1-114272G.10

2019