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2014 Harsha Lake Flyover - Water Chemsitry Data Used For Turbidity Study

Metadata Updated: November 12, 2020

This data is a large suite of coincident surface water observations for many different physical, chemical, and biological properties of the water in a reservoir in Southwest Ohio (Harsha Lake) at the time a flyover occurred to take hyperspectral images of the lake’s surface. 44 sites were visited across the reservoir within 2 hours. The data could be useful to others with interest in remote sensing of water quality or studying spatial patterns of water quality at one particular point in time.

This dataset is associated with the following publication: Beck, R., M. Xu, S. Zhan, R. Johansen, E. Emery, M. Reif, C. Nietch, D. Macke, R. Stumpf, and M. Martin. Comparison of Satellite Reflectance Algorithms for Estimating Turbidity and Cyanobacterial Concentrations in Productive Freshwaters Using Hyperspectral Aircraft Imagery and Dense Coincident Surface Observations. JOURNAL OF GREAT LAKES RESEARCH. International Association for Great Lakes Research, Ann Arbor, MI, USA, 45(3): 413-433, (2019).

Access & Use Information

Public: This dataset is intended for public access and use. License: See this page for license information.

Downloads & Resources

References

https://doi.org/10.1016/j.jglr.2018.09.001

Dates

Metadata Created Date November 12, 2020
Metadata Updated Date November 12, 2020

Metadata Source

Harvested from EPA ScienceHub

Additional Metadata

Resource Type Dataset
Metadata Created Date November 12, 2020
Metadata Updated Date November 12, 2020
Publisher U.S. EPA Office of Research and Development (ORD)
Maintainer
Identifier https://doi.org/10.23719/1412543
Data Last Modified 2017-12-11
Public Access Level public
Bureau Code 020:00
Schema Version https://project-open-data.cio.gov/v1.1/schema
Harvest Object Id 98e812b1-3d84-4403-9dbb-274b62cf3815
Harvest Source Id 04b59eaf-ae53-4066-93db-80f2ed0df446
Harvest Source Title EPA ScienceHub
License https://pasteur.epa.gov/license/sciencehub-license.html
Program Code 020:096
Publisher Hierarchy U.S. Government > U.S. Environmental Protection Agency > U.S. EPA Office of Research and Development (ORD)
Related Documents https://doi.org/10.1016/j.jglr.2018.09.001
Source Datajson Identifier True
Source Hash ff0a0a679f8d0a3d27381b78021c7d49b97e176f
Source Schema Version 1.1

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