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Spectrally simplified approach for leveraging legacy geostationary oceanic observations
Applied Optics
|October 18, 2022
Summary
Geostationary satellites like GOES-R
Area of Science:
- Earth and Oceanographic Sciences
- Remote Sensing Applications
- Aquatic Ecosystem Monitoring
Background:
- Geostationary satellites offer improved temporal frequency and cloud mitigation for aquatic ecosystem studies.
- An operational capability for U.S. coastal and inland waters is currently lacking.
- The Advanced Baseline Imager (ABI) on GOES-R satellites presents an opportunity to fill this gap.
Purpose of the Study:
- To assess the potential of ABI data for monitoring aquatic ecosystems.
- To develop and evaluate a simplified aquatic algorithm for estimating the diffuse attenuation coefficient for photosynthetically available radiation (Kd(PAR)).
- To compare ABI-derived products with existing satellite data (MODIS).
Main Methods:
- Synthesized an in situ ABI dataset using global radiometric data.
- Developed a two-channel aquatic algorithm to estimate Kd(PAR) from ABI wave bands.
- Validated the algorithm using iterative cross-validation and compared ABI imagery with MODIS data via Google Earth Engine (GEE).
Main Results:
- The Kd(PAR) algorithm achieved a median R² of 0.88 and a root mean square difference of 8.5% in the validation dataset.
- Adjusted ABI reflectance data showed similar spatial variability (R²=0.60) to MODIS Kd(490) values.
- The spectral configuration of ABI shows potential for sub-hourly aquatic data products.
Conclusions:
- The ABI's spectral configuration can potentially support sub-hourly aquatic data products for U.S. waters.
- This capability could significantly benefit water-mass tracing and physical oceanography research.
- Realizing an operational capability for ABI aquatic data products is recommended.
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