Hyperspectral Characterization of Common Cyanobacteria Associated with Harmful Algal Blooms (ver. 2.0, October 2020)
Dates
Publication Date
2020-01-06
Start Date
2019-09-01
End Date
2023-09-30
Revision
2020-10-30
Citation
Slonecker, T., Simon, N., Graham, J., Allen, D., Bufford, B., Evans, M.A., Carpenter, K., Griffin, D., Hall, N., Jones, D.K., Rebich, R.A., and Manning, M., 2020, Hyperspectral Characterization of Common Cyanobacteria Associated with Harmful Algal Blooms (ver. 2.0, October 2020): U.S. Geological Survey data release, https://doi.org/10.5066/P9SY4PSK.
Summary
This dataset is a collection of hyperspectral imagery profiles of 13 common algae associated with Harmful Algae Blooms (HAB). Data were retrieved from a hyperspectral microscope at, and with the cooperation of, the National Institute of Standards and Technology. Samples were collected from USGS water quality sampling efforts, and were also purchased from commercial vendors of biological materials. Data are shown in basic hyperspectral imagery form, transformed into the first derivative and corrected with a flat field algorithm to account for variations in locale lighting conditions. First posted - January 6, 2020 (available from author) Revised - October 30, 2020 (version 2.0)
Summary
This dataset is a collection of hyperspectral imagery profiles of 13 common algae associated with Harmful Algae Blooms (HAB). Data were retrieved from a hyperspectral microscope at, and with the cooperation of, the National Institute of Standards and Technology. Samples were collected from USGS water quality sampling efforts, and were also purchased from commercial vendors of biological materials. Data are shown in basic hyperspectral imagery form, transformed into the first derivative and corrected with a flat field algorithm to account for variations in locale lighting conditions.
First posted - January 6, 2020 (available from author)
Revised - October 30, 2020 (version 2.0)
Click on title to download individual files attached to this item.
Hyperspectral-Characterization_of_Common_Cyanobacteria_Associated_with_Harmful_Algal_Blooms_10302020.xml Original FGDC Metadata
View
16.02 KB
application/fgdc+xml
HAB_Spectra.zip
9.77 KB
application/zip
HAB_1D_Reflectance_Graphs.zip
178.8 KB
application/zip
HAB_Images.zip
387.15 KB
application/zip
HAB_Reflectance_Graphs.zip
174.63 KB
application/zip
FF_HAB_Spectra.zip
19.54 KB
application/zip
FF_HAB_1D_Reflectance.zip
227.07 KB
application/zip
FF_HAB_Reflectance _Graphs.zip
152.88 KB
application/zip
version_2_history_P9SY4PSK.txt “Version History”
1.44 KB
text/plain
Purpose
Harmful Algal Blooms (HAB) are a major, emerging water quality problem. Remote sensing has been used extensively to document the presence and extent of HAB phenomenon. However, emerging remote sensing technology, known as hyperspectral remote sensing, also known as imaging spectroscopy, captures light in numerous contiguous bands and enables additional data characterization that currently requires laboratory analysis. These hyperspectral profiles are designed to contribute to research on remote detection and analysis of HAB phenomenon.
Revision 2.0 completed by Terry Slonecker on October 30, 2020. To review the changes that were made, see “version_2_history_P9SY4PSK.txt” in the attached files section.
