[Retrieval and validation of the surface reflectance using HJ-1-CCD data]

Area of Science:

• Remote Sensing
• Earth Observation
• Satellite Imaging

Context:

• Atmospheric correction for satellite imagery is crucial for accurate surface reflectance retrieval.
• The HJ-1A/B satellite's CCD camera lacks a near-infrared band, posing challenges for traditional dark target methods.
• Alternative methods using spectral experiments and ground-based data are explored.

Purpose:

• To assess the potential of HJ-1A/B satellite CCD camera data for surface reflectance retrieval.
• To validate the accuracy of retrieved surface reflectance using ground-based spectral data.
• To compare the performance of HJ-1A/B data with existing products like MODIS.

Summary:

• Surface reflectance retrieval from HJ-1A/B CCD data was studied, using NDVI and red/blue reflectance ratios as alternatives due to the lack of a near-infrared band.
• Ground-based spectral data for various surfaces (grass, vegetation, water, soil, buildings) validated the retrieved reflectance, showing relative errors under 38.7% (red) and 37.2% (blue).
• Comparison with MODIS surface reflectance products indicated good agreement for dense targets, with HJ-1A/B data showing higher accuracy for bright surfaces and reduced pixel-mixing effects.

Impact:

• HJ-1A/B satellite data offers a viable alternative for surface reflectance retrieval, particularly for urban and bright surfaces.
• The findings contribute to improved land surface characterization and monitoring using readily available satellite data.
• This research enhances the utility of HJ-1A/B data for applications requiring accurate surface reflectance information.