The Effect of Surrounding Vegetation on Basal Stem Measurements Acquired Using Low-Cost Depth Sensors in Urban and Native Forest Environments.

James McGlade, Luke Wallace, Bryan Hally, Karin Reinke, Simon Jones

Open access · goldAbstract 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

0.5field-weighted citation impact, top 41% of its field

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, 4 citations in OpenAlex.

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 at 1 institution in 1 country.

James McGladeSchool of Science, Royal Melbourne Institute of Technology Univeristy, 124 La Trobe St, Melbourne, VIC 3000, Australia.ORCID 0000-0001-8830-6626

Luke WallaceSchool of Geography, Planning and Spatial Sciences, University of Tasmania, Churchill Ave, Hobart, TAS 7001, Australia.ORCID 0000-0002-4642-8374

Bryan HallySchool of Science, Royal Melbourne Institute of Technology Univeristy, 124 La Trobe St, Melbourne, VIC 3000, Australia.ORCID 0000-0003-2771-492X

Karin ReinkeSchool of Science, Royal Melbourne Institute of Technology Univeristy, 124 La Trobe St, Melbourne, VIC 3000, Australia.ORCID 0000-0003-4333-2315

Simon JonesSchool of Science, Royal Melbourne Institute of Technology Univeristy, 124 La Trobe St, Melbourne, VIC 3000, Australia.ORCID 0000-0002-3914-3717

University of Tasmania · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Three colour and depth (RGB-D) devices were compared, to assess the effect of depth image misalignment, resulting from simultaneous localisation and mapping (SLAM) error, due to forest structure complexity. Urban parkland (S1) was used to assess stem density, and understory vegetation (≤1.3 m) was assessed in native woodland (S2). Individual stem and continuous capture approaches were used, with stem diameter at breast height (DBH) estimated. Misalignment was present within point clouds; however, no significant differences in DBH were observed for stems captured at S1 with either approach (Kinect

Indexed as

Forestsforestryinventorylow-costremote sensingRGB-D

Identifiers

PMID37112278

DOI10.3390/s23083933

PMCPMC10143225

OpenAlexW4365455179

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.