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Record W6899415731 · doi:10.5880/enmap.2015.001

Döberitzer Heide 2008/2009 - An EnMAP Preparatory Flight Campaign (Datasets)

2015· dataset· en· W6899415731 on OpenAlexaff

Bibliographic record

VenueOpen MIND · 2015
Typedataset
Languageen
Field
Topic
Canadian institutionsAlberta Oil Sands Technology and Research Authority
Fundersnot available
KeywordsSpectroradiometerShrubHyperspectral imagingPlant coverPlant communityPhenologyVegetation (pathology)Evergreen

Abstract

fetched live from OpenAlex

The dataset is composed of a) hyperspectral imagery acquired during airplane overflights on August 7th, 2008 and August 20th, 2009 consisting of 126 and 125 spectral bands, respectively, ranging from VIS to SWIR (456 - 2490 nm and 453 - 2480 nm) wavelength regions; b) spectral reference measurements acquired with an portable ASD field spectroradiometer in 2150 spectral bands (350 - 2500nm) in the same phenological periods of July/August/September 2008/09 c) plant species assemblages on 81 moist and 72 dry habitats consisting of the fractional cover of all vascular plants, mosses and lichens. The overall goal of the study was to map plant species shift along environmental gradients relating spectral information to the floristic composition. Reference plots of 1 or 2 m² size were thereby located in typical plant communities as well as in transition zones affected by species shift due to management measures such as grazing or shrub removal. In addition 17 field plots were analyzed with regard to soil horizon parameter (e.g. pH, grain size, carbonate content) in the year 2011. Soil types are further available on 51 auger probes.

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.

How this classification was reachedexpand

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Open science, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.346
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0020.002
Open science0.0070.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0470.393

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 head0.057
GPT teacher head0.363
Teacher spread0.306 · 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

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreDataset

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2015
Admission routes1
Has abstractyes

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