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Supporting Datasets for assessing lake and reservoir recreation suitability based on Landsat 8 water clarity

Metadata Updated: May 30, 2023

Water quality is a critical consideration in determining the beneficial uses of these waters. Water clarity has long been used by aquatic monitoring programs as a visual indicator of the condition of water quality. During field operations, water clarity is often monitored using an inexpensive Secchi disk. The Secchi disk is a 20-centimeter (8 inch) diameter metal or weighted plastic disk, normally black and white, which is attached to a measured line and lowered into a lake until it can be no longer seen. Therefore, Secchi depth becomes a visual measure of water clarity. This dataset contains Secchi depths predicted from atmospherically corrected Landsat 8 spectral data collected from 2014 – 2018 for over 200 lakes and reservoirs in the continental United States and in situ Secchi data from eutrophic, mesotrophic, and oligotrophic lakes and reservoirs retrieved from the AquaSat database as well as the Water Quality Portal (WQP) and LAGOS-NE databases, which are paired (matched) with Landsat archived images collected within 1- 3 days of a sampling event. The data are in tabular format in an EXCEL spreadsheet in *.xlsx format. The data were collected to determine if Secchi depths could be accurately determined for inland lakes and reservoirs at continental scales from satellite derived inherent optical properties and light attenuation character of freshwater lakes and reservoirs. The predicted Secchi depth data were then used in an assessment framework to supplement social surveys which seek to assess the suitability of freshwater lakes and reservoirs for recreation based on public perception.

Access & Use Information

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

Downloads & Resources

Dates

Metadata Created Date May 30, 2023
Metadata Updated Date May 30, 2023

Metadata Source

Harvested from EPA ScienceHub

Additional Metadata

Resource Type Dataset
Metadata Created Date May 30, 2023
Metadata Updated Date May 30, 2023
Publisher U.S. EPA Office of Research and Development (ORD)
Maintainer
Identifier https://doi.org/10.23719/1528472
Data Last Modified 2023-01-26
Public Access Level public
Bureau Code 020:00
Schema Version https://project-open-data.cio.gov/v1.1/schema
Harvest Object Id 6b066a31-ea60-4255-89fd-2f1931ff2593
Harvest Source Id 04b59eaf-ae53-4066-93db-80f2ed0df446
Harvest Source Title EPA ScienceHub
License https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html
Program Code 020:000
Publisher Hierarchy U.S. Government > U.S. Environmental Protection Agency > U.S. EPA Office of Research and Development (ORD)
Source Datajson Identifier True
Source Hash cceb553774cb8402c0c74320a0a79524a73cd988
Source Schema Version 1.1

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