Evidence map›Paper›PMID 34068447›Full record

ArticlePlants (Basel, Switzerland)2021

The Use of Very-High-Resolution Aerial Imagery to Estimate the Structure and Distribution of the

Meshal M Abdullah, Zahraa M Al-Ali, Mansour T Abdullah, Bader Al-Anzi

Abstract read
In one paragraph

Article in Plants (Basel, Switzerland), 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

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

4 authors.

Meshal M AbdullahDepartment of Ecology and Conservation Biology, Texas A&M University, College Station, TX 77843, USA.
Zahraa M Al-AliNatural Environmental Systems and Technologies (NEST) Research Group, Ecolife Sciences Research and Consultation, Hawally 30002, Kuwait.ORCID 0000-0001-7877-6376
Mansour T AbdullahNatural Environmental Systems and Technologies (NEST) Research Group, Ecolife Sciences Research and Consultation, Hawally 30002, Kuwait.ORCID 0000-0002-7228-6744
Bader Al-AnziDepartment of Environmental Technologies and Management, College of Life Sciences, Kuwait University, Kuwait City 13060, Kuwait.ORCID 0000-0002-5467-6706

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rapid assessment and monitoring of native desert plants are essential in restoration and revegetation projects to track the changes in vegetation patterns in terms of vegetation coverage and structure. This work investigated advanced vegetation monitoring methods utilizing UAVs and remote sensing techniques at the Al Abdali protected site in Kuwait. The study examined the effectiveness of using UAV techniques to assess the structure of desert plants. We specifically examined the use of very-high-resolution aerial imagery to estimate the vegetation structure of

Indexed as

arid ecosystemsecological monitoring and assessmentmultispectral sensorsplant heightsrestorationunmanned aerial vehicles (UAVs)

Identifiers

PMID34068447
PMCPMC8153646

What OpenQuestion holds

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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.