Evidence map›Paper›PMID 41815179›Full record

ArticleRemote sensing applications : society and environment2026

Tidal marsh species mapping using commercial satellite imagery for enhanced coastal management in Chesapeake Bay.

Megan M Coffer, Rebecca Trinh, Molly Mitchell, Kory Angstadt, David Stanhope, Zhonghui Lv, Karinna Nunez, Nicole D Bartlett, Daniel Wiltsie, Sully Sullivan and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Remote sensing applications : society and environment, 2026. 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
–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

0 citing papers in PubMed.

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

11 authors.

Megan M CofferNOAA, National Environmental Satellite, Data, and Information Services, Center for Satellite Applications and Research, College Park, MD, 20740, USA.ORCID 0000-0003-3188-4729
Rebecca TrinhNOAA, National Environmental Satellite, Data, and Information Services, Center for Satellite Applications and Research, College Park, MD, 20740, USA.
Molly MitchellVirginia Institute of Marine Science, William & Mary, Gloucester Point, VA, 23062, USA.ORCID 0000-0003-4210-285X
Kory AngstadtVirginia Institute of Marine Science, William & Mary, Gloucester Point, VA, 23062, USA.ORCID 0000-0002-8201-0872
David StanhopeVirginia Institute of Marine Science, William & Mary, Gloucester Point, VA, 23062, USA.
Zhonghui LvVirginia Institute of Marine Science, William & Mary, Gloucester Point, VA, 23062, USA.
Karinna NunezVirginia Institute of Marine Science, William & Mary, Gloucester Point, VA, 23062, USA.ORCID 0000-0002-7764-5486
Nicole D BartlettNOAA, North Atlantic Regional Team, Woods Hole, MA, 02543, USA.
Daniel WiltsieU.S. Environmental Protection Agency, Office of Research and Development, Durham, NC, 27701, USA.ORCID 0009-0000-6341-4583
Sully SullivanU.S. Environmental Protection Agency, Office of Research and Development, Durham, NC, 27701, USA.ORCID 0009-0005-1634-8874
Blake A SchaefferU.S. Environmental Protection Agency, Office of Research and Development, Durham, NC, 27701, USA.ORCID 0000-0001-9794-3977

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

Tidal marshes offer numerous ecological and economic benefits but are threatened by human development, sea-level rise, and invasive species. Routine mapping of their species composition is crucial for coastal management, yet current efforts are spatially and temporally limited and lack species identification. To address this, we used 3-m PlanetScope satellite imagery to classify four common marsh plants across Virginia's Middle Peninsula in Chesapeake Bay, a region targeted for restoration given its ecological and economic significance. We developed a random forest classifier using May 2021 reference data from the Virginia Institute of Marine Science, delineating

Indexed as

Class probabilitiesCoastal managementImage classificationPlanetScopeRandom forestTidal marsh

Identifiers

PMID41815179
PMCPMC12973038

What OpenQuestion holds

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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.