研究目的
To develop a generic approach for deriving surface reflectance over land from various sensors, refining previous methods and validating it using AERONET data.
研究成果
The generic approach for atmospheric correction presented shows improved performance over precursor algorithms, as validated with multiple sensors. It provides a traceable and validated method for generating accurate surface reflectance products, serving as a foundation for future science products from various Earth observation sensors.
研究不足
The approach relies on the availability of specific band data (blue and red) and ancillary atmospheric data, which may not be universally accessible. Validation is dependent on AERONET sites, limiting global coverage. The method assumes Lambertian surfaces and does not account for adjacency effects, which could introduce errors in certain conditions.
1：Experimental Design and Method Selection:
The methodology involves a physically based inversion of surface reflectance using radiative transfer models, specifically the 6SV code, to correct for atmospheric effects. It includes deriving aerosol optical thickness (AOT) from band ratios between blue and red channels, building on datasets from MODIS and MISR.
2：Sample Selection and Data Sources:
Data from sensors including MODIS, VIIRS, LANDSAT, and Sentinel 2 are used. Validation relies on AERONET data for atmospheric properties and other reference datasets like MOBY for water reflectance.
3：List of Experimental Equipment and Materials:
Sensors: MODIS, VIIRS, LANDSAT, Sentinel 2; Radiative transfer code: 6SV; Ancillary data sources: NCEP GDAS for pressure and ozone, MOD09CMA for water vapor, ETOPO5 for elevation.
4：Experimental Procedures and Operational Workflow:
Steps include data acquisition from sensors, application of the 6SV code for atmospheric correction, inversion of AOT using band ratios, and validation against AERONET and other reference data.
5：Data Analysis Methods:
Accuracy, precision, and uncertainty (APU) metrics are computed by comparing operational surface reflectance with truth values from reference datasets. Statistical analysis includes inter-comparison with other radiative transfer codes.
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MODIS
NASA
Used for data acquisition in blue, red, and other bands to derive surface reflectance and aerosol properties.
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VIIRS
NASA/NOAA
Sensor used for data acquisition in similar bands as MODIS for atmospheric correction.
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LANDSAT
OLI, ETM+
USGS/NASA
Provides high-resolution data for surface reflectance derivation and validation.
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Sentinel 2
MSI
ESA
Multi-spectral imager used for data acquisition in the study.
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MISR
NASA
Used to derive aerosol optical thickness for input into the atmospheric correction process.
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AERONET
NASA
Provides ground-based measurements of aerosol properties for validation of the atmospheric correction.
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6SV
Radiative transfer code used for atmospheric correction and modeling of satellite signals.
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NCEP GDAS
2015
NCEP
Provides ancillary data for atmospheric pressure and ozone content.
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ETOPO5
1988
NOAA
Digital elevation model used to obtain altitude data for atmospheric corrections.
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MOD09CMA
NASA
Climate Modeling Grid product used to extract water vapor information.
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