Oral Session 5 | Tuesday, October 4, 16:20–16:40 | Abstract 653

Rapid observations of aquatic environments using the Advanced Baseline Imager

Multispectral geostationary satellites represent a potentially powerful tool for studying aquatic ecosystems due to their high temporal frequency of observations. However, no operational capability presently exists for the coastal and inland waters of the United States. The Advanced Baseline Imager (ABI) on the R series of the Geostationary Operational Environmental Satellites (GOES-R) provides sub-hourly imagery that could potentially overcome this deficit. An in situ ABI dataset that was synthesized using a globally representative dataset of above- and in-water radiometric data products has demonstrated that the spectral configuration of ABI could support a sub-hourly, visible aquatic data product that is applicable to water-mass tracing and physical oceanographic research. Leveraging a large repository of GOES-R oceanic observations would first require the development and validation of a processing capability for deriving ABI aquatic data products. The potential to develop this capability is evaluated herein, using Google Earth Engine (GEE), a cloud-based geospatial analysis architecture, to derive ABI aquatic data products, e.g., the water-leaving radiance. Results are evaluated using in situ matchups, as well as inter-sensor comparisons. Finally, potential applications for resolving various aquatic processes using an ABI aquatic observing system are discussed.

Henry Houskeeper, University of California, Los Angeles, 0000-0001-5848-5440

Stanford Hooker, National Aeronautics and Space Administration

Kyle Cavanaugh, University of California, Los Angeles

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