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Chlorophyll-a concentrations and algal bloom condition paired with Sentinel-2 aquatic reflectance values collected for Brownlee Reservoir, ID from 2015 through 2020

Dates

Publication Date
Start Date
2015-10-05
End Date
2020-10-28

Citation

King, T.V., and Hafen, K.C., 2022, Chlorophyll-a concentrations and algal bloom condition paired with Sentinel-2 aquatic reflectance values collected for Brownlee Reservoir, ID from 2015 through 2020: U.S. Geological Survey data release, https://doi.org/10.5066/P9GF0CBG.

Summary

This data release presents two calibration datasets that relate aquatic reflectance derived from Sentinel-2 satellite imagery with algal bloom conditions in the Brownlee Reservoir on the Idaho Oregon border. These datasets were developed to evaluate remote sensing methods for identifying algal blooms in Brownlee Reservoir like those from July 2022 that are illustrated in field photo (left) and satellite imagery (right) in “Picture1.png”. The first calibration dataset includes satellite-based spectra paired with chlorophyll-a concentrations in micrograms per liter analyzed by the Bureau of Reclamation Soil and Water Laboratory with standard method 10200 H.2 on water samples collected within 2 m of the surface by Idaho Power Company [...]

Contacts

Point of Contact :
Tyler V King
Originator :
Tyler V King, Konrad C Hafen
Metadata Contact :
Tyler V King
Publisher :
U.S. Geological Survey
Distributor :
U.S. Geological Survey - ScienceBase
SDC Data Owner :
Idaho Water Science Center
USGS Mission Area :
Water Resources

Attached Files

Click on title to download individual files attached to this item.

brownlee_reservoir_paired_data.xml
“Metadata XML”
Original FGDC Metadata

View
28.06 KB application/fgdc+xml
in-situ_chlorophyll-a_observations_Brownlee_Reservoir.csv
“In-situ sample results”
4.62 KB text/csv
Picture1.png
“Algal Bloom in Brownlee Reservoir July 2022”
thumbnail 13.43 MB image/png
visually_identified_bloom_condition_Brownlee_Reservoir.csv
“Visually identified bloom conditions”
28.37 KB text/csv

Purpose

This data release includes two datasets to support the evaluation of remote sensing techniques in classifying chlorophyll-a concentrations relative to a 10 microgram per liter threshold as a proxy for algal bloom conditions. The data are further used to determine the efficacy of using image derived training data in calibrating remote sensing approaches.
Algal Bloom in Brownlee Reservoir July 2022
Algal Bloom in Brownlee Reservoir July 2022

Map

Spatial Services

ScienceBase WMS

Communities

  • USGS Data Release Products
  • USGS Idaho Water Science Center

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Provenance

Additional Information

Identifiers

Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/P9GF0CBG

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