Evidence map›Paper›PMID 34760393›Full record

ArticlePeerJ2021

Characterizing the spatial distribution of coral reefs in the South-Central Coast region of Viet Nam using Planetscope imagery.

Khanh V Nguyen, Vinh C Duong, Kinh T Kieu, Thuong V Tran, Cho-Ying Huang, Ruth Reef, Thien M Hoang

Abstract read
In one paragraph

Article in PeerJ, 2021. 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

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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

7 authors.

Khanh V NguyenFaculty of Biology and Environment, The University of Danang-University of Science and Education, Danang City, Viet Nam.
Vinh C DuongDepartment of Environment and Natural Recourses, Gia Lai Campus, Nong Lam University - Ho Chi Minh, Pleiku city, Gia Lai Province, Viet Nam.
Kinh T KieuFaculty of Biology and Environment, The University of Danang-University of Science and Education, Danang City, Viet Nam.
Thuong V TranInstitute of Engineering and Technology, Thu Dau Mot University, Thu Dau Mot city, Binh Duong Province, Viet Nam.
Cho-Ying HuangDepartment of Geography, National Taiwan University, Taipei, Taiwan.
Ruth ReefSchool of Earth, Atmosphere and Environment, Monash University, Clayton, Victoria, Australia.
Thien M HoangFaculty of Biology and Environment, The University of Danang-University of Science and Education, Danang City, Viet Nam.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aims to understand the spatial distribution of coral reefs in the central region of Viet Nam. We classified live coral cover in Son Tra Peninsula (ST) and Cu Lao Cham Island (CLC) in the South-Central Coast Region of Viet Nam using the Maximum Likelihood Classifier on 3 m Planetscope imagery. Confusion matrices and the accuracy of the classifier were assessed using field data (1,543 and 1,560 photographs in ST and CLC, respectively). The results showed that the reef's width ranged from 30 to 300 m across the study site, and we were able to detect live coral cover across a depth gradient of 2 to 6 m below the sea surface. The overall accuracies of the classifier (the Kappa coefficient) were 76.78% (0.76) and 78.08% (0.78) for ST and CLC, respectively. We found that 60.25% of coral reefs in ST were unhealthy and the live coral cover was less than 50%, while 25.75% and 11.46% of those in CLC were in good and excellent conditions, respectively. This study demonstrates the feasibility of utilizing Planetscope imagery to monitor shallow coral reefs of small islands at a high spatial resolution of 3 m. The results of this study provide valuable information for coral reef protection and conservation.

Indexed as

Coral healthCoral reef management and protectionCu Lao Cham IslandDove satelliteLive coral coverShallow fringing reefsSon Tra PeninsulaSupervised classification

Identifiers

PMID34760393
PMCPMC8570177

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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.