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Shrinking salt crusts of the Bonneville Basin, Utah: Observations from multispectral remote sensing

2025· article· en· W4413020451 on OpenAlexaboutno aff
Mark Radwin, Brenda B. Bowen, Jeremiah A. Bernau

Bibliographic record

VenueGeomorphology · 2025
Typearticle
Languageen
FieldComputer Science
TopicGeochemistry and Geologic Mapping
Canadian institutionsnot available
Fundersnot available
KeywordsGeologyMultispectral imageSalt lakeGeomorphologyStructural basinRemote sensingMultispectral pattern recognitionHydrology (agriculture)Geotechnical engineering

Abstract

fetched live from OpenAlex

Halite crusts in Utah's Bonneville basin, including the Bonneville Salt Flats, Newfoundland basin, and Pilot Valley saline pans, show rapid spatiotemporal variations and significant declines in surface area over the past century. Using multispectral satellite imagery from 1984 to 2024 (585 dates), aerial imagery from 1946 to 1978, and a 1925 map, we analyze long-term changes in halite and water surface areas to understand these salt crust systems' evolution and hydrological/climatic influences. Data are processed into Normalized Difference Water Index and Halite Index rasters and classified with static and dynamic thresholds, respectively. Results indicate that the Bonneville Salt Flats has shrunk by 75 % since 1925, with a decline rate of 0.75–1.45 km 2 /year, projecting a potential disappearance between 2072 and 2126. The Newfoundland basin crust, an anthropogenic feature, has been declining at 2.6–6 km 2 /year and may vanish between 2154 and 2353. When normalized to initial area, decline rates are comparable between the Bonneville Salt Flats and Newfoundland basin. In contrast, the ephemeral Pilot Valley crust shows no clear long-term reduction in area but considerable intra-annual variability. Flooding events are observed to be significant drivers of halite area changes, with post-flood halite growth 30–90 days after peak water area. These findings underscore the dynamic nature of salt crust systems, reveal links between hydrological cycles and crust dynamics, and provide a framework for future research, monitoring, and management of salt flats in arid regions.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.450
Threshold uncertainty score0.410

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 science0.0010.001
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 head0.020
GPT teacher head0.233
Teacher spread0.213 · 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; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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
Published2025
Admission routes1
Has abstractyes

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