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A Layer Removal Scheme for Atmospheric Correction of Satellite Ocean Color Data in Coastal Regions
- Source :
- IEEE Transactions on Geoscience and Remote Sensing. 59:1382-1391
- Publication Year :
- 2021
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2021.
-
Abstract
- The radiance received by satellite sensors viewing the ocean is a mixed signal of the atmosphere and ocean. Accurate decomposition of the radiance components is crucial because any inclusion of atmospheric signal in the water-leaving radiance leads to an incorrect estimation of the oceanic parameters. This is especially true over the turbid coastal waters, where the estimation of the radiance components is difficult. A layer removal scheme for atmospheric correction (LRSAC) has been developed to take the atmospheric and oceanic components as the layer structure according to the sunlight passing in the Sun–Earth-satellite system. Compared with the normal coupled atmospheric column, the uncertainty of the layer structure of Rayleigh and aerosols has a relatively small error with a mean relative error (MRE) of 0.063%. As the aerosol layer was put between Rayleigh and ocean, a new Rayleigh lookup table (LUT) was regenerated using 6SV (Second Simulation of a Satellite Signal in the Solar Spectrum, Vector version 3.2) based on the zero reflectance at the ground to produce the pure Rayleigh reflectance without the Rayleigh–ocean interaction. The accuracy of the LRSAC was validated by in situ water-leaving reflectance, obtaining an MRE of 6.3%, a root-mean-square error (RMSE) of 0.0028, and the mean correlation coefficient of 0.86 based on 430 matchup pairs over the East China Sea. Results show that the LRSAC can be used to decompose the reflectance at the top of each layer for the atmospheric correction over turbid coastal waters.
- Subjects :
- 0211 other engineering and technologies
Atmospheric correction
02 engineering and technology
Atmospheric model
Physics::Geophysics
Atmosphere
symbols.namesake
Approximation error
Ocean color
Radiance
symbols
General Earth and Planetary Sciences
Environmental science
Satellite
Electrical and Electronic Engineering
Rayleigh scattering
Physics::Atmospheric and Oceanic Physics
021101 geological & geomatics engineering
Remote sensing
Subjects
Details
- ISSN :
- 15580644 and 01962892
- Volume :
- 59
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Geoscience and Remote Sensing
- Accession number :
- edsair.doi...........8ca81c69e7378c0709076db0cad68631