Surface-water characteristics and phytoplankton taxonomy in selected north Texas reservoirs using biological, hyperspectral, and water-quality methods, 2019-2020

Dates

Publication Date: 2022-03-11
Start Date: 2019-08-30
End Date: 2020-11-16

Citation

Sievers, J.M., Stengel, V.G., and Trevino, J.M., 2022, Surface-water characteristics and phytoplankton taxonomy in selected north Texas reservoirs using biological, hyperspectral, and water-quality methods, 2019-2020: U.S. Geological Survey data release, https://doi.org/10.5066/P9X1R5IM.

Summary

A study to develop an earth observation monitoring system to detect harmful algal bloom (HABs) presence within selected north Texas reservoirs using satellite imagery was conducted by the U.S. Geological Survey (USGS). This data release provides the data collected for this study including site locations, water-quality, phytoplankton, and hyperspectral water surface reflectance data. Data were collected between September of 2019 and December of 2020 at 39 sites distributed across 16 reservoirs and 1 stream. The stream site was sampled in response to an algal bloom in August of 2019 in Austin Tex., and is included herein but the reservoir sites are the focus of this data release. The datasets include all routine and quality assurance/quality [...]

Summary

A study to develop an earth observation monitoring system to detect harmful algal bloom (HABs) presence within selected north Texas reservoirs using satellite imagery was conducted by the U.S. Geological Survey (USGS). This data release provides the data collected for this study including site locations, water-quality, phytoplankton, and hyperspectral water surface reflectance data. Data were collected between September of 2019 and December of 2020 at 39 sites distributed across 16 reservoirs and 1 stream. The stream site was sampled in response to an algal bloom in August of 2019 in Austin Tex., and is included herein but the reservoir sites are the focus of this data release. The datasets include all routine and quality assurance/quality control (QA/QC) samples collected at each of the sites. Water-quality samples were analyzed for chlorophyll a and total suspended solids (TSS). Phytoplankton were identified to the lowest possible taxonomic level with abundance (density reported as both natural units and cells) and biovolume reported. Hyperspectral water surface reflectance was acquired for the visible and near infrared (NIR) (325-1075 nanometers) spectral range using an ASD Field Spec Handheld 2 spectroradiometer (ASD Inc., 2010). These data are given as digital number (DN, a unitless number representing intensity observed by the spectroradiometer that has not been calibrated) , white reference, and reflectance tabular data with accompanying photographs showing observed water surface conditions at the time of acquisition. There were from one to seven open-water sampling sites distributed across the water surface of each reservoir depending on drainage area, land use within the drainage area, and reservoir morphology. Additionally, most sites were at least 600 meters from the shoreline. The 600-meter 'buffer zone' was to ensure data were acquired from parts of the reservoir areas representing pure water reflectance per pixel spatial resolution for Sentinel 2a/b, Sentinel 3 and Landsat 8 satellite imagery (pixels representing reflectance from only water as opposed to reflectance from a mixture of land and water). At each site, water-quality field properties were measured every five feet to the bottom of the water column starting at the surface. Chlorophyll a was analyzed by the Trinity River Authority Central Laboratory in Dallas, Texas. Samples were analyzed for TSS by the USGS National Water Quality Laboratory in Denver, Colorado. Water-quality field properties (water temperature, dissolved-oxygen concentration and percent saturation, pH, specific conductance, turbidity, chlorophyll fluorescence, phycocyanin fluorescence, and Secchi depth) were also measured at each sampling site. PhycoTech, Inc. determined phytoplankton taxonomy and biomass. Phytoplankton samples were collected at one-two open-water sites at each reservoir. Hyperspectral water surface reflectance was acquired for a subset of field sites and visits from pre-determined positions around the perimeter of the boat at the beginning and the end of sampling to ensure there was minimal interference from sun-angle, shadow and glint from movement of the water surface, movement of the boat, and as the sun moved across the sky.

Contacts

Point of Contact :: Oklahoma-Texas Water Science Center
Originator :: Jeffrey M Sievers, Victoria G Stengel, Jessica M Trevino
Metadata Contact :: Jeffrey M Sievers
Publisher :: U.S. Geological Survey
Distributor :: U.S. Geological Survey - ScienceBase
SDC Data Owner :: Oklahoma-Texas Water Science Center
USGS Mission Area :: Water Resources

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metadata.xml Original FGDC Metadata	View	70.8 KB	application/fgdc+xml
PhytoplanktonData.csv		696.01 KB	text/csv
PhytoplanktonData.xlsx		453.89 KB	application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
SiteLocations.csv		3.57 KB	text/csv
SiteLocations.xlsx		14.57 KB	application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
SpectroradiometricData.csv		19.23 MB	text/csv
Water Surface Photos.zip		53.19 MB	application/zip
WaterQualityData.csv		139.85 KB	text/csv
WaterQualityData.xlsx		123.7 KB	application/vnd.openxmlformats-officedocument.spreadsheetml.sheet

Purpose

These data were collected by the USGS Oklahoma-Texas Water Science Center to develop an earth observation monitoring system for HAB presence within selected north Texas reservoirs. This earth observation system uses multispectral water surface reflectance detected by spaceborne satellite sensors to identify the presence of chlorophyll and to estimate chlorophyll concentrations in reservoirs. To accomplish this, in-situ data were collected in coordination with USGS National Aeronautical and Space Administration (NASA) Landsat 8 and the European Space Agency (ESA) Sentinel 2A/B satellite overpasses. These in-situ water quality and hyperspectral reflectance data were collected to study the optical properties of reservoir water as an indication of water quality and to calibrate and validate the water surface reflectance signal detected by the satellite sensors. Biological data, such as the phytoplankton taxonomy and concentration of cyanobacteria found in each reservoir, were collected at each site to obtain cyanobacteria taxonomy and concentration of data that corresponds to the hyperspectral water surface reflectance data.

Surface-water characteristics and phytoplankton taxonomy in selected north Texas reservoirs using biological, hyperspectral, and water-quality methods, 2019-2020

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