Inherent Optical Properties (IOP) data retrieved from Sentinel-3B satellite imagery using the Generalized Inherent Optical Properties (GIOP) model framework. The dataset provides per-pixel absorption and backscattering coefficients for seawater constituents, supporting water-type classification and biogeochemical studies. This version 2022.0 activity was informed by the U.S. Government's Satellite Needs Working Group (SNWG).
Use Cases
- Water-type classification based on inherent optical properties like absorption and backscattering coefficients.
- Water-clarity assessment using the total absorption and backscattering coefficients.
- Biogeochemical studies leveraging phytoplankton absorption and particulate backscattering coefficients.
- Cross-sensor comparisons enabled by the inherent optical properties, which are more robust than apparent optical products.
Strengths
- Derived from Sentinel-3B satellite imagery, a known Earth observation platform.
- Provides multiple geophysical variables including total absorption, phytoplankton absorption, and particulate backscattering coefficients.
- Includes uncertainty estimates for key variables like aph_unc_443 and bbp_unc_443.
- Supports multiple applications like water-type classification and biogeochemical studies as described.
Limitations
- Description metadata is limited; actual data quality requires manual inspection after download.
- Row count is unknown, which may limit suitability assessment.
- Column-level documentation is absent; field semantics must be inferred after download.
Provenance
- Source
- OB_CLOUD via nasa_earthdata platform.
- Collection Method
- Retrieved from spectral Remote Sensing Reflectance (Rrs) using the Generalized Inherent Optical Properties (GIOP) model framework.
- Geography
- Regional coverage implied by 'Regional' in the title, but specific geography is unknown.