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Record W2301398174 · doi:10.1080/07038992.2015.1065705

Biparabolic NDVI-T<sub>s</sub> Space and Soil Moisture Remote Sensing in an Arid and Semi arid Area

2015· article· en· W2301398174 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCanadian Journal of Remote Sensing · 2015
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicRemote Sensing and Land Use
Canadian institutionsnot available
FundersNational Key Research and Development Program of China
KeywordsNormalized Difference Vegetation IndexModerate-resolution imaging spectroradiometerAridEnvironmental scienceVegetation (pathology)Remote sensingWater contentGeographySatelliteGeologyPhysicsClimate change

Abstract

fetched live from OpenAlex

. Normalized difference vegetation index (NDVI) and land surface temperature (Ts) data from the multitemporal Moderate Resolution Imaging Spectroradiometer (MODIS) were used to analyze the NDVI-Ts space. Unlike the traditional triangular or trapezoidal NDVI-Ts space, the NDVI-Ts space in this study was biparabolic when NDVI values below 0.15 were included, describing areas that are vegetated but have low biomass due to arid conditions. Moreover, the NDVI-Ts biparabolic space is slightly better than the NDVI-Ts triangular space at discerning soil moisture (validation at a 10-cm depth). Linear relationships exist between TVDIC obtained from the NDVI-Ts biparabolic space and relative soil moisture with R2 > 0.28, while correlation coefficient between TVDIT obtained from the triangular NDVI-Ts space and relative soil moisture is R2 > 0.08. The soil moisture situations in Henan Province from February 26, 2011 to May 16, 2011 and in the Shendong mining area on October 8, 2010 were evaluated based on the temperature vegetation dryness index (TVDI) obtained from the NDVI-Ts biparabolic space. Moreover, the general spatiotemporal features of soil moisture conditions in Henan Province and the Shendong mining area were revealed.Résumé. Des données de l’indice de végétation par différence normalisé (NDVI) et de la température de la surface terrestre (Ts) du spectroradiomètre imageur à résolution moyenne «Moderate Resolution Imaging Spectroradiometer» (MODIS) ont été utilisées pour analyser l’espace NDVI-Ts. Contrairement à l’espace traditionnel NDVI-Ts qui est triangulaire ou trapézoïdal, l’espace NDVI-Ts dans cette étude était biparabolique lorsque les valeurs de NDVI inférieures à 0,15 ont été incluses, décrivant les régions qui ont un couvert végétal, mais qui ont une faible biomasse en raison des conditions arides. En outre, l’espace biparabolique NDVI-Ts est légèrement mieux que l’espace triangulaire NDVI-Ts pour discerner l’humidité du sol (validation à une profondeur de 10 cm). Des relations linéaires existent entre le TVDIC obtenu à partir du NDVI-Ts biparabolique et l’humidité du sol relative avec R2 > 0,28, tandis que le coefficient de corrélation entre le TVDIT obtenu à partir de l’espace NDVI-Ts triangulaire et l’humidité du sol relative est R2 > 0,08. L’humidité du sol dans la province du Henan du 26 février 2011 au 16 mai 2011 et dans la région d’exploitation minière Shendong le 8 octobre 2010 a été évaluée sur la base de l’indice de température-sécheresse de la végétation (TVDI) obtenu à partir de l’espace biparabolique NDVI-Ts. En outre, les caractéristiques générales spatio-temporelles de conditions d’humidité du sol dans la province du Henan et la zone minière Shendong ont été révélées.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.980
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.020
GPT teacher head0.208
Teacher spread0.188 · 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