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Arctic Ocean Color Remote Sensing Dataset

Home > Dataset > Global Marine Ecological Data > Arctic Ocean Color Remote Sensing Dataset

Information

Production Unit Second Institute of Oceanography, Ministry of Natural Resources
Data Type Remote Sensing
Dataset Abbreviation RRS
Time Range 2020–2022
Product Level L3B
Spatial Coverage Global
Spatial Resolution 4km
Temporal Resolution Monthly
Reference Coordinate System WGS 84

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Description

This dataset consists of remote sensing reflectance data north of 50°N latitude, including remote sensing reflectance in the visible light spectrum (from 412nm to 670nm, with a total of 6 bands) from the HY1C satellite.

The algorithm utilized for this dataset is a neural network atmospheric correction model suitable for large solar zenith angles. This model utilizes observation data from high-latitude ocean areas captured by the HY1C satellite, filters high-quality data using selection criteria, and inputs them into the neural network for training to obtain the atmospheric correction model.
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Naming Convention

SIO_HY1C _"YEAR+MONTH"_L3B_ATC_4KM_RRS_Lihao.nc
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Related Website

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Reference

[1] Li, H. , He, X. , Bai, Y. , Shanmugam, P. , Park, Y. , Jia. L. , Qiankun, Z. , Gong, F. , Difeng, W. ,& Huang, H. Atmospheric correction of geostationary satellite ocean color data under high solar zenith angles in open oceans. Remote Sensing of Environment. 2020, 249, 112022.e study from the East China Sea. Journal of Geophysical Research: Oceans,120(3):2331-2349.
[2] Li, H. , He, X. , Shanmugam, P. , Bai, Y. , Difeng, W. , Huang, H. , Qiankun, Z. , &Gong, F. Semi-analytical algorithms of ocean color remote sensing under high solar zenith angles. Optics Express. 2019,27(12),1-17.
[3] Li, H. , He, X. , Shanmugam, P. , Bai, Y. , Difeng, W. , Huang, H. , Qiankun, Z. , &Gong, F. Radiometric sensitivity and signal detectability of ocean color satellite sensor under high solar zenith angles. IEEE Transactions on Geoscience and Remote Sensing. 2019,57(11),8492-8505.
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