Evidence map›Paper›PMID 37864113›Full record

ArticleEnvironmental monitoring and assessment2023

Assessing the suitability of lakes and reservoirs for recreation using Landsat 8.

Darryl J Keith, Wilson Salls, Blake A Schaeffer, P Jeremy Werdell

Open access · hybridAbstract read
In one paragraph

Article in Environmental monitoring and assessment, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.8field-weighted citation impact, top 26% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Darryl J KeithCenter of Environmental Measurement & Modeling, Office of Research and Development, US Environmental Protection Agency, Narragansett, RI, 02882, USA. keith.darryl@epa.gov.
Wilson SallsCenter of Environmental Measurement & Modeling, Office of Research and Development, US Environmental Protection Agency, Research Triangle Park, Durham, NC, 27711, USA.
Blake A SchaefferCenter of Environmental Measurement & Modeling, Office of Research and Development, US Environmental Protection Agency, Research Triangle Park, Durham, NC, 27711, USA.
P Jeremy WerdellOcean Ecology Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD, 20771, USA.
Environmental Protection Agency · USGoddard Space Flight Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Water clarity has long been used as a visual indicator of the condition of water quality. The clarity of waters is generally valued for esthetic and recreational purposes. Water clarity is often assessed using a Secchi disk attached to a measured line and lowered to a depth where it can be no longer seen. We have applied an approach which uses atmospherically corrected Landsat 8 data to estimate the water clarity in freshwater bodies by using the quasi-analytical algorithm (QAA) and Contrast Theory to predict Secchi depths for more than 270 lakes and reservoirs across the continental US. We found that incorporating Landsat 8 spectral data into methodologies created to retrieve the inherent optical properties (IOP) of coastal waters was effective at predicting in situ measures of the clarity of inland water bodies. The predicted Secchi depths were used to evaluate the recreational suitability for swimming and recreation using an assessment framework developed from public perception of water clarity. Results showed approximately 54% of the water bodies in our dataset were classified as "marginally suitable to suitable" with approximately 31% classed as "eminently suitable" and approximately 15% classed as "totally unsuitable-unsuitable". The implications are that satellites engineered for terrestrial applications can be successfully used with traditional ocean color algorithms and methods to measure the water quality of freshwater environments. Furthermore, operational land-based satellite sensors have the temporal repeat cycles, spectral resolution, wavebands, and signal-to-noise ratios to be repurposed to monitor water quality for public use and trophic status of complex inland waters.

Indexed as

Environmental MonitoringLakesAlgorithmsRecreationWater QualityLakesLandsat 8Quasi-analytical algorithmSecchi depthWater clarity

Identifiers

PMID37864113
PMCPMC10589144
OpenAlexW4387802569

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.