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

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).

Data and Resources

Field Value
accessLevel public
bureauCode {020:00}
catalog_conformsTo https://project-open-data.cio.gov/v1.1/schema
identifier https://doi.org/10.23719/1412543
license https://pasteur.epa.gov/license/sciencehub-license.html
modified 2017-12-11
programCode {020:096}
publisher U.S. EPA Office of Research and Development (ORD)
publisher_hierarchy U.S. Government > U.S. Environmental Protection Agency > U.S. EPA Office of Research and Development (ORD)
references {https://doi.org/10.1016/j.jglr.2018.09.001}
resource-type Dataset
source_datajson_identifier true
source_hash ff0a0a679f8d0a3d27381b78021c7d49b97e176f
source_schema_version 1.1
Groups
  • AmeriGEOSS
  • National Provider
  • North America
Tags
  • AmeriGEO
  • AmeriGEOSS
  • CKAN
  • GEO
  • GEOSS
  • National
  • North America
  • United States
  • algal-bloom
  • algorithm
  • bga
  • cyanobacteria
  • harmful-algal-bloom
  • hyperspectral
  • multispectral
  • phycocyanin
  • satellite
  • total-suspended-solids
  • tss
  • turbidity
isopen False
license_id other-license-specified
license_title other-license-specified
maintainer Christopher Nietch
maintainer_email nietch.christopher@epa.gov
metadata_created 2025-09-23T17:28:13.135788
metadata_modified 2025-09-23T17:28:13.135794
notes 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).
num_resources 1
num_tags 20
title 2014 Harsha Lake Flyover - Water Chemsitry Data Used For Turbidity Study