Evidence map›Paper›PMID 29503718›Full record

ArticleInterface focus2018

Uncertainty in multispectral lidar signals caused by incidence angle effects.

Sanna Kaasalainen, Markku Åkerblom, Olli Nevalainen, Teemu Hakala, Mikko Kaasalainen

Abstract read
In one paragraph

Article in Interface focus, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Sanna KaasalainenFinnish Geospatial Research Institute Institute - FGI, Department of Navigation and Positioning, Geodeetinrinne 2, 02431 Masala, Finland.ORCID 0000-0001-6628-418X
Markku ÅkerblomTampere University of Technology, Laboratory of Mathematics, 33101 Tampere, Finland.ORCID 0000-0002-6512-232X
Olli NevalainenFGI, Department of Remote Sensing and Photogrammetry, Geodeetinrinne 2, 02431 Masala, Finland.
Teemu HakalaFGI, Department of Remote Sensing and Photogrammetry, Geodeetinrinne 2, 02431 Masala, Finland.
Mikko KaasalainenTampere University of Technology, Laboratory of Mathematics, 33101 Tampere, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multispectral terrestrial laser scanning (TLS) is an emerging technology. Several manufacturers already offer commercial dual or three wavelength airborne laser scanners, while multispectral TLS is still carried out mainly with research instruments. Many of these research efforts have focused on the study of vegetation. The aim of this paper is to study the uncertainty of the measurement of spectral indices of vegetation with multispectral lidar. Using two spectral indices as examples, we find that the uncertainty is due to systematic errors caused by the wavelength dependency of laser incidence angle effects. This finding is empirical, and the error cannot be removed by modelling or instrument modification. The discovery and study of these effects has been enabled by hyperspectral and multispectral TLS, and it has become a subject of active research within the past few years. We summarize the most recent studies on multi-wavelength incidence angle effects and present new results on the effect of specular reflection from the leaf surface, and the surface structure, which have been suggested to play a key role. We also discuss the consequences to the measurement of spectral indices with multispectral TLS, and a possible correction scheme using a synthetic laser footprint.

Indexed as

hyperspectralincidence anglelaser scanningvegetation

Identifiers

PMID29503718
PMCPMC5829180

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Registered trials

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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.