Between Dec 19, 2024 and Jan 2, 2025, datasets can be submitted to DRUM but will not be processed until after the break. Staff will not be available to answer email during this period, and will not be able to provide DOIs until after Jan 2. If you are in need of a DOI during this period, consider Dryad or OpenICPSR. Submission responses to the UDC may also be delayed during this time.
 

Reflectance spectra and related water quality and color data from 325 Minnesota and Wisconsin lakes and rivers

Loading...
Thumbnail Image
Statistics
View Statistics

Collection period

2013-05-01
2018-09-30

Date completed

2023-01-12

Date updated

Time period coverage

Geographic coverage

Source information

Journal Title

Journal ISSN

Volume Title

Title

Reflectance spectra and related water quality and color data from 325 Minnesota and Wisconsin lakes and rivers

Published Date

2023-01-23

Group

Author Contact

Olmanson, Leif G
olman002@umn.edu

Type

Dataset
Field Study Data
Observational Data
Programming Software Code
Simulation Data
Spatial Data

Abstract

This data set contains in situ reflectance spectra measured on 325 lakes and a few rivers broadly across the states of Minnesota and Wisconsin. The spectra were measured at the water surface at 1-nm intervals over the wavelength range 400-900 nm and are called "hyperspectra." Associated data include site identifications, key optical water quality variables measured on samples collected at the time of the reflectance measurements, two quantitative metrics of water color, dominant wavelength and hue angle, calculated from the hyperspectra, and values of the same two water-color metrics computed from simulated data for three satellite sensors (Sentinel-2 MSI, Sentinel-3 OLCI, and Landsat 8 OLI) derived from the hyperspectra using two published algorithms. The computed results are used to compare the reliability of the two published algorithms relative to the results obtained directly from the hyperspectra, which are considered to be the "true" values of dominant wavelength and hue angle metrics. In addition, the data set includes MATLAB code used in the computations.

Description

One data file includes the detailed in situ reflectance hyperspectra from 325 lakes and rivers in Minnesota and Wisconsin, along with information on site locations. A second file includes the water quality data (chlorophyll, CDOM, Secchi depth, and suspended solids) collected at the 325 sites simultaneously with the hyperspectra, along with values of dominant wavelength and hue angle calculated from the hyperspectra and computed by two algorithms from simulated reflectance data for three common satellite sensors. A subfolder contains 10 files of MATLAB codes used in the computations of satellite-derived hue angle and dominant wavelength, along with a readme text file that describes the MATLAB codes.

Referenced by

Burket, M.O.; Olmanson, L.G.; Brezonik, P.L. Comparison of Two Water Color Algorithms: Implications for the Remote Sensing of Water Bodies with Moderate to High CDOM or Chlorophyll Levels. Sensors 2023, 23, 1071.
https://doi.org/10.3390/s23031071

Related to

Replaces

item.page.isreplacedby

Publisher

Funding information

NA

item.page.sponsorshipfunderid

item.page.sponsorshipfundingagency

item.page.sponsorshipgrant

Previously Published Citation

Other identifiers

Suggested citation

Olmanson, Leif G; Burket, Martha; Brezonik, Patrick L. (2023). Reflectance spectra and related water quality and color data from 325 Minnesota and Wisconsin lakes and rivers. Retrieved from the Data Repository for the University of Minnesota (DRUM), https://doi.org/10.13020/1c2h-te39.

Content distributed via the University Digital Conservancy may be subject to additional license and use restrictions applied by the depositor. By using these files, users agree to the Terms of Use. Materials in the UDC may contain content that is disturbing and/or harmful. For more information, please see our statement on harmful content in digital repositories.