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Record W1993192512 · doi:10.1071/bt04129

A comparison of field-based and modelled reflectance spectra from damaged Pinus radiata foliage

2005· article· en· W1993192512 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAustralian Journal of Botany · 2005
Typearticle
Languageen
FieldEnvironmental Science
TopicRemote Sensing in Agriculture
Canadian institutionsWestern Forest Products
Fundersnot available
KeywordsPinus radiataSpectroradiometerRadiataChlorophyllCrown (dentistry)ReflectivityBiologyWater contentBotanyHorticultureVignaMedicineDentistry

Abstract

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Accurate and cost-effective monitoring of the health and condition of Australian Pinus radiata D.Don plantations is crucial to predicting the impact of damaging agents on wood yield and, where appropriate, targeting timely intervention. Stressful agents can induce changes in the biochemical, physiological and structural integrity of pine needles and subsequently reduce tree growth and ultimately cause plant death. Three important stressful agents occurring within Australian P. radiata plantations are the aphid Essigella californica, soil nitrogen deficiency and Sphaeropsis sapinea, a fungal pathogen. Within a study site in southern New South Wales, needles were sampled from crowns exhibiting key symptoms at three levels of crown severity. Needle level spectra were measured with a field spectroradiometer and foliage samples taken to extract needle chlorophyll a and b and to determine needle moisture content. A radiative transfer model (LIBERTY) was also used to estimate theoretical needle reflectance, given changes in two of its five input parameters (needle chlorophyll and moisture content). Two specific questions were posed. First, given that most spectral indices are based on a reference or stable wavelength as well as sensitive wavelengths, what is the most effective suite of stable wavelengths for predicting of needle chlorophyll and moisture? Second, which published spectral indices best discriminated the three categories of crown-damage severity for each damaging agent? Analysis of needle samples indicated that the needles affected by E. californica were the least chlorotic compared with the other damaging agents. For all damaging agents, needles showed an increase in reflectance with a lowering of chlorophyll content in the visible region (400–700 nm), associated with increasing severity. Changes in the shape of the spectral curve in the red-edge region of the electromagnetic spectrum were minor for E. californica-affected and nitrogen-deficient needles; however, changes were significant when comparing the S. sapinea severity classes. Correlations with published vegetation indices indicated that needle chlorophyll content was most highly correlated with a number of the recently proposed indices, including the structurally insensitive simple ratio. In general, the best results were obtained with 705 nm as the chlorophyll sensitive wavelength and either 750 or 445 nm as the insensitive wavelengths to account for needle reflectance and surface properties. By varying two of the input parameters of the LIBERTY model, the estimated spectra generally matched the trends and magnitude of actual spectra. This suggests that the application of radiative transfer models, correctly parameterised, can provide important information when estimating discrimination categories of needle damage.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.302
Threshold uncertainty score0.554

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.022
GPT teacher head0.291
Teacher spread0.268 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it