Evidence map›Paper›PMID 36679457›Full record

ArticleSensors (Basel, Switzerland)2023

Rapid Identification of Main Vegetation Types in the Lingkong Mountain Nature Reserve Based on Multi-Temporal Modified Vegetation Indices.

Wenjing Fang, Hongfen Zhu, Shuai Li, Haoxi Ding, Rutian Bi

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. 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

5 authors.

Wenjing FangCollege of Resources and Environment, Shanxi Agricultural University, Taiyuan 030031, China.
Hongfen ZhuCollege of Resources and Environment, Shanxi Agricultural University, Taiyuan 030031, China.ORCID 0000-0002-9220-9017
Shuai LiCollege of Resources and Environment, Shanxi Agricultural University, Taiyuan 030031, China.
Haoxi DingCollege of Resources and Environment, Shanxi Agricultural University, Taiyuan 030031, China.
Rutian BiCollege of Resources and Environment, Shanxi Agricultural University, Taiyuan 030031, China.ORCID 0000-0002-1395-7579

Funding

The National Key Research and Development Program of China 2021YFD1600301
6 · The paper itself

Abstract

Nature reserves are among the most bio-diverse regions worldwide, and rapid and accurate identification is a requisite for their management. Based on the multi-temporal Sentinel-2 dataset, this study presents three multi-temporal modified vegetation indices (the multi-temporal modified normalized difference

Indexed as

PoaceaeRemote Sensing TechnologyChinaEnvironmental Monitoringnature reserveoptimal featurerandom forestvegetation index

Identifiers

PMID36679457
PMCPMC9865223

What OpenQuestion holds

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LicenceCC BY
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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.