Science Inventory

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

Citation:

Urquhart, E. AND B. Schaeffer. Envisat MERIS and Sentinel-3 OLCI satellite lake biophysical water quality flag dataset for the contiguous United States. Data in Brief. Elsevier B.V., Amsterdam, Netherlands, 28:104826, (2020). https://doi.org/10.1016/j.dib.2019.104826

Impact/Purpose:

Inland cyanobacterial harmful algal blooms are thought to be increasing globally, yet relatively little information is available on the the extent of blooms at varying geographic scales. By combining a change assessment method with satellite remote sensing, we quantify cyanoHAB spatial extent in each state in the contiguous United States from 2008 through 2011 and recently in 2017. We provide the first set of national maps of freshwater cyanoHAB extent, and an approach for determining past and future change in each state. We find that changes in inland cyanoHAB extent were not universal in magnitude nor direction from 2008-2011. However, the change in the percentage of bloom area attributed to WHO-high risk bloom area increased by a rate of 0.7% yr during this four year period.

Description:

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.

Record Details:

Record Type:DOCUMENT( JOURNAL/ PEER REVIEWED JOURNAL)
Product Published Date:02/01/2020
Record Last Revised:10/05/2021
OMB Category:Other
Record ID: 352970