Evidence map›Paper›PMID 35769209›Full record

ArticleInternational journal of remote sensing2022

Vertical artifacts in high-resolution WorldView-2 and WorldView-3 satellite imagery of aquatic systems.

Megan M Coffer, Peter J Whitman, Blake A Schaeffer, Victoria Hill, Richard C Zimmerman, Wilson B Salls, Marie C Lebrasse, David D Graybill

Abstract read
In one paragraph

Article in International journal of remote sensing, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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

8 authors.

Megan M CofferU.S. Environmental Protection Agency, Office of Research and Development, Durham, NC, USA.
Peter J WhitmanU.S. Environmental Protection Agency, Office of Research and Development, Durham, NC, USA.
Blake A SchaefferU.S. Environmental Protection Agency, Office of Research and Development, Durham, NC, USA.
Victoria HillDepartment of Ocean & Earth Sciences, Old Dominion University, Norfolk, VA, USA.ORCID 0000-0001-8337-7441
Richard C ZimmermanDepartment of Ocean & Earth Sciences, Old Dominion University, Norfolk, VA, USA.
Wilson B SallsU.S. Environmental Protection Agency, Office of Research and Development, Durham, NC, USA.
Marie C LebrasseU.S. Environmental Protection Agency, Office of Research and Development, Durham, NC, USA.
David D GraybillU.S. Environmental Protection Agency, Office of Research and Development, Durham, NC, USA.

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

Satellite image artefacts are features that appear in an image but not in the original imaged object and can negatively impact the interpretation of satellite data. Vertical artefacts are linear features oriented in the along-track direction of an image system and can present as either banding or striping; banding are features with a consistent width, and striping are features with inconsistent widths. This study used high-resolution data from DigitalGlobe's (now Maxar) WorldView-3 satellite collected at Lake Okeechobee, Florida (FL), on 30 August 2017. This study investigated the impact of vertical artefacts on both at-sensor radiance and a spectral index for an aquatic target as WorldView-3 was primarily designed as a land sensor. At-sensor radiance measured by six of WorldView-3's eight spectral bands exhibited banding, more specifically referred to as non-uniformity, at a width corresponding to the multispectral detector sub-arrays that comprise the WorldView-3 focal plane. At-sensor radiance measured by the remaining two spectral bands, red and near-infrared (NIR) #1, exhibited striping. Striping in these spectral bands can be attributed to their time delay integration (TDI) settings at the time of image acquisition, which were optimized for land. The impact of vertical striping on a spectral index leveraging the red, red edge, and NIR spectral bands-referred to here as the NIR maximum chlorophyll index (MCI

Indexed as

BandingImage acquisitionStripingTime delay integrationWorldView-2WorldView-3

Identifiers

PMID35769209
PMCPMC9238387

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.