Evidence map›Paper›PMID 39943603›Full record

ArticleSensors (Basel, Switzerland)2025

Exploring the Dependence of Spectral Properties on Canopy Temperature with Ground-Based Sensors: Implications for Synergies Between Remote-Sensing VSWIR and TIR Data.

Christos H Halios, Stefan T Smith, Brian J Pickles, Li Shao, Hugh Mortimer

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. 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.

Christos H HaliosSchool of Built Environment, University of Reading, Whiteknights, Reading RG6 6DF, UK.ORCID 0000-0001-8301-8449
Stefan T SmithSchool of Built Environment, University of Reading, Whiteknights, Reading RG6 6DF, UK.ORCID 0000-0002-5053-4639
Brian J PicklesSchool of Biological Sciences, University of Reading, Whiteknights, Reading RG6 6EX, UK.
Li ShaoSchool of Built Environment, University of Reading, Whiteknights, Reading RG6 6DF, UK.
Hugh MortimerRutherford Appleton Laboratory, Harwell Campus, Didcot OX11 0QX, UK.

Funding

Engineering and Physical Sciences Research Council EP/P023819/1
6 · The paper itself

Abstract

Spaceborne instruments have an irreplaceable role in detecting fundamental vegetation features that link physical properties to ecological theory, but their success depends on our understanding of the complex dynamics that control plant spectral properties-a scale-dependent challenge. We explored differences between the warmer and cooler areas of tree canopies with a ground-based experimental layout consisting of a spectrometer and a thermal camera mounted on a portable crane that enabled synergies between thermal and spectral reflectance measurements at the fine scale. Thermal images were used to characterise the thermal status of different parts of a dense circular cluster of containerised trees, and their spectral reflectance was measured. The sensitivity of the method was found to be unaffected by complex interactions. A statistically significant difference in both reflectance in the visible (VIS), near-infrared (NIR), and shortwave infrared (SWIR) bands and absorption features related to the chlorophyll, carotenoid, and water absorption bands was found between the warmer and cooler parts of the canopy. These differences were reflected in the Photochemical Reflectance Index with values decreasing as surface temperature increases and were related to higher carotenoid content and lower Leaf Area Index (

Indexed as

absorption featurescarotenoidsLAIPROSAILremote sensingspectral reflectancesynergythermal measurementsvegetation canopy

Identifiers

PMID39943603
PMCPMC11820332

What OpenQuestion holds

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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.