Envisat MERIS and Sentinel-3 OLCI satellite lake biophysical water quality flag dataset for the contiguous United States

Data Brief. 2019 Nov 16:28:104826. doi: 10.1016/j.dib.2019.104826. eCollection 2020 Feb.

Abstract

Monitoring lake biophysical water quality is a global challenge. Satellite remote sensing offers a technology for continuous water quality information in data poor regions throughout the United States. Quality assurance flag data are provided for the presence of snow/ice, land-adjacency, and unresolvable waterbodies supporting water quality derived measures from Envisat MEdium Resolution Imaging Spectrometer and Sentinel-3 Ocean and Land Colour Instrument for the continental United States. In addition, an updated Waterbody Data mask that contains valid waterbody and coastal ocean delineation is provided. The quality assurance flag datasets can benefit the scientific community in processing lake water quality throughout the contiguous United States by addressing errors from snow/ice, land adjacency, and land masking. The dataset presented here will be used in the development of national scale metrics for derived biophysical water quality in the US.

Keywords: Biophysical water quality; CONUS, Contiguous United States; DN, Digital Number; ESA, European Space Agency; Envisat; Lakes; MERIS; MERIS, Medium Resolution Imaging Spectroradiometer; NASA, National Aeronautical Space Administration; NHD, National Hydrography Dataset; NLA, National Lakes Assessment; OBPG, Ocean Biology Processing Group; OLCI; OLCI, Ocean Land Colour Instrument; QA, Quality Assurance; Remote sensing; SEADAS, SeaWIFS Data Analysis; SRTM, Shuttle Radar Topography Mission; SWBD, SRTM Waterbody Data; Satellite; Sentinel-3.