The dataset likely contains global, binned satellite-derived measurements of inherent optical properties (IOPs) for seawater. It is based on Sentinel-3B OLCI Level-3 data processed with the Generalized Inherent Optical Properties (GIOP) model framework. The activity was informed by the Satellite Needs Working Group (SNWG), an interagency effort of the U.S. Government.
Use Cases
- Water-type classification based on retrieved inherent optical properties (IOPs).
- Water-clarity assessment based on total absorption and backscattering coefficients.
- Biogeochemical studies based on phytoplankton and particulate backscattering coefficients.
- Forward/adjoint radiative-transfer applications based on per-pixel IOPs.
- Cross-sensor comparisons based on IOPs, which are more robust than apparent optical properties (AOPs).
Strengths
- Derived from Sentinel-3B OLCI satellite data, a major Earth observation platform.
- Provides per-pixel inherent optical properties (IOPs), which are fundamental for radiative transfer.
- Supports multiple applications including water-type classification and biogeochemical studies.
- The retrieval uses the Generalized Inherent Optical Properties (GIOP) model framework.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- Last update date is unknown; freshness unverified.
Provenance
- Source
- OB_CLOUD via nasa_earthdata platform.
- Collection Method
- Inherent optical properties (IOPs) retrieved from spectral Remote Sensing Reflectance (Rrs) using the GIOP model.
- Geography
- Global coverage, binned.