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Record W2316147561 · doi:10.1109/jstars.2015.2512230

Canopy Height Model (CHM) Derived From a TanDEM-X InSAR DSM and an Airborne Lidar DTM in Boreal Forest

2016· article· en· W2316147561 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · 2016
Typearticle
Languageen
FieldEngineering
TopicSynthetic Aperture Radar (SAR) Applications and Techniques
Canadian institutionsUniversity of New BrunswickUniversité du Québec à Montréal
FundersUniversité de MontréalUniversité LavalNational Aeronautics and Space Administration
KeywordsLidarInterferometric synthetic aperture radarRemote sensingCanopyEnvironmental scienceDigital elevation modelTaigaTree canopyElevation (ballistics)TerrainInterferometrySynthetic aperture radarGeologyGeographyPhysicsForestryOptics

Abstract

fetched live from OpenAlex

The first global X-band spaceborne single-pass interferometer mission, TanDEM-X, provides a spatially continuous map of global canopy elevations. In this paper, we assess the use of TanDEM-X data, in combination with an external digital terrain model (DTM), to map boreal canopy heights. A comparison of the TanDEM-X canopy height model (CHM) to a validated reference lidar CHM was performed based on two definitions of canopy height: canopy surface height (CSH) and dominant height (DH) at spatial resolutions ranging from 5 to 25 m, and at stand level. We found the TanDEM-X CHM to have a coarser resolution than the corresponding lidar CHM. This was apparent in the height validation of the TanDEM-X CHM, which had a RMSE of 2.7 m at the 5-m resolution, 1.9 m at the 25-m resolution, and 1.5 m at stand level. The height differences between the InSAR and lidar surfaces varied between 1.3 and 1.5 m, but InSAR heights were below the height of dominant trees by 4.6-7.5 m. Similar discrepancies were observed for the lidar CSH relatively to DH (6.04, 8.98, and 8.05 m, respectively). The results show that the TanDEM-X interferometric heights are very close to the lidar reference height and that penetration below the DH is caused by propagation of the microwave signal between the tree apices and the main foliage surface in boreal forest. Finally, the accuracy of InSAR height estimates was not sensitive to tree density effects, but was moderately affected by local incidence angles (LIAs), gap volume, and canopy height.

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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.915
Threshold uncertainty score0.531

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)0.0000.000

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 head0.017
GPT teacher head0.222
Teacher spread0.205 · 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