Evidence map›Paper›PMID 42451501›Full record

ArticleSensors (Basel, Switzerland)2026

Time-Series Analysis of Microtopographic Evolution and Morphological Changes in Regressive Tidal Creeks via UAV-LiDAR.

Juneseok Kim, Hyeyeon Yoon, Ilyoung Hong

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 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

3 authors.

Juneseok KimDepartment of Drone & GIS Engineering, University of Namseoul, Cheonan City 31020, Republic of Korea.ORCID 0009-0004-6153-8565
Hyeyeon YoonEcological and Natural Map Team, National Institute of Ecology, Seocheon-gun 33657, Republic of Korea.ORCID 0009-0002-2920-7729
Ilyoung HongDepartment of Drone & GIS Engineering, University of Namseoul, Cheonan City 31020, Republic of Korea.ORCID 0000-0002-9617-9978

Funding

Namseoul University 00
6 · The paper itself

Abstract

This study conducted a six-month time-series micro-topographic analysis using high-resolution UAV LiDAR technology to precisely characterize the complex terrain changes in regressive tidal creeks within coastal wetlands. To overcome the unique challenges posed by vegetation-dense regressive tidal flats, the LiDAR Penta Return (5-pulse) mode was applied, yielding high-density point cloud data with an average of 174 pts/m

Indexed as

DEMLiDARmicrotopographyregressive tidaltidal creektime-series analysisUAV

Identifiers

PMID42451501
PMCPMC13364330

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.