Science Systems and Applications (United States)

AQUAVERSE-AC: a machine learning-based atmospheric correction framework for inland and coastal waters

Accurately deriving remote sensing reflectance (Rrs) from satellite imagery in optically complex inland and coastal waters is critical for water quality monitoring and management. This study presents AQUAVERSE (an aquatic inversion scheme for remote sensing of fresh and coastal w...

The MISR Research Product Algorithm – producing global, self-consistent, pixel-level aerosol retrievals for the Multi-angle Imaging SpectroRadiometer

Abstract. The MISR Research Aerosol retrieval algorithm (RA) was developed in parallel with the MISR standard operational algorithm (SA), to explore innovative retrieval ideas for possible implementation in the SA, and to provide higher-spatial-resolution results with enhanced se...

An assessment of lunar photometry in AERONET

AERONET has been acquiring direct beam lunar observations at six wavelengths from 440 to 1640 nm from most newer model T CIMEL sun-sky radiometers in the network for many years and producing a night-time AOD data set, which currently includes observations at 492 sites dating back...

SWOT‐Fitted River Bathymetry for Global Hydrodynamic Models

Abstract We present a robust, global method to reconcile absolute water surface elevations (WSE) from the Surface Water and Ocean Topography (SWOT) mission with a large‐scale hydrodynamic model by iteratively correcting river bathymetry. After removing sensor and representativene...

Precision of phytoplankton pigment analysis by high-performance liquid chromatography: an assessment of the global ocean color validation dataset analyzed by NASA

Abstract. Space-borne ocean color sensors capable of measuring phytoplankton pigments, such as chlorophyll a, have greatly expanded our understanding of oceanic biological processes. The ability to generate such measurements in a way that satisfies the requirements of climate-qua...

Towards continental-scale SWOT-based modeling of reservoir operations

The advent of reservoir models has enabled the monitoring and prediction of reservoir operations (inflow, storage, and release); however, the in situ operation data used for model parameterization is spatially scarce. In this study, we evaluate reservoir monitoring capabilities b...

Ten rules to increase the usability of earth observation mission datasets

Abstract Publicly-funded Earth Observation (EO) missions present unprecedented challenges and opportunities for observing our changing planet and applying the knowledge gained to benefit society. As EO mission data continue to grow in volume and complexity, a paradigm shift in ho...

Coastal North America In Situ Chlorophyll and Optical Dataset

Abstract. Chlorophyll is a crucial climate variable and remotely sensed satellite chlorophyll estimates are essential to understanding large-scale biological processes. Current ocean color chlorophyll algorithms, however, are less accurate in optically complex inland and coastal...