[Atmospheric correction method for HJ-1 CCD imagery over waters based on radiative transfer model]

Area of Science:

• Ocean optics
• Remote sensing
• Atmospheric correction

Context:

• Quantitative remote sensing of water color using Chinese HJ-1 satellite data is hindered by atmospheric correction challenges.
• Existing methods struggle with the specific characteristics of HJ-1 CCD sensors.

Purpose:

• To develop and validate a pixel-by-pixel atmospheric correction method for HJ-1 CCD data over water bodies.
• To improve the retrieval of water-leaving remote sensing reflectance.

Summary:

• An air-water coupled radiative transfer model was used to create a look-up table (LUT) for atmospheric correction parameters.
• The method utilizes meteorological data and accounts for HJ-1 CCD sensor characteristics.
• Validation against MODIS and in-situ data showed good accuracy in blue and green bands, but lower accuracy in red and near-infrared (NIR) bands.
• The study highlights the sensitivity of atmospheric correction accuracy to the chosen aerosol model.

Impact:

• Enhances the quantitative application of HJ-1 CCD data for water color monitoring.
• Provides a more accurate method for retrieving water reflectance, crucial for ecological studies.
• Identifies key factors, like aerosol models, influencing retrieval accuracy, guiding future research.