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Analisis Geologi dan Geomorfologi Kuantitatif Daerah Vulkanik Menggunakan Citra Landsat 8 dan TerraSAR-X (Studi Kasus Gunungapi Ungaran)

2022· article· id· W4288081843 on OpenAlexaff
Muhammad Luthfi Faturrakhman, Nela P. Rattyananda, Sonia Rijani, Sigit Maryanto

Bibliographic record

VenueJurnal Geologi dan Sumberdaya Mineral · 2022
Typearticle
Languageid
FieldEarth and Planetary Sciences
TopicGeological and Geophysical Studies
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsPhysics

Abstract

fetched live from OpenAlex

Gunungapi Ungaran yang terletak di Kabupaten Semarang, Provinsi Jawa Tengah, merupakan salah satu gunungapi aktif di Indonesia. Analisis geomorfologi kuantitatif menggunakan citra inderaan jauh dan pengamatan lapangan dapat membantu untuk mengetahui kondisi tatanan geologi di Gunungapi Ungaran. Intepretasi inderaan jauh berupa rona, tekstur, bentuk dan pola aliran pada citra Landsat 8 dengan kombinasi kanal 5, 6, 7 dan TerraSAR-X, dikombinasikan dengan hasil pengamatan lapangan. Tujuan studi ini untuk mengetahui kondisi geologi di sekutar Gunungapi Ungaran, khususnya sebaran batuan vulkanik dan struktur geologi. Analisis geomorfologi kuantitatif sinusitas muka gunung serta rasio dasar dan tinggi lembah digunakan untuk mengetahui kondisi tektonik. Berdasarkan hasil analisis citra satelit dan pemetaan geologi diketahui bahwa Gunungapi Ungaran terbagi menjadi 11 satuan batuan yang didominasi oleh batuan vulkanik dan batuan beku. Analisis geomorfologi kuantiantif menunjukkan Gunungapi Ungaran memiliki nilai lat 3 dan termasuk daerah dengan derajat tektonik rendah.Katakunci: Geomorfologi, Gunungapi Ungaran, inderaan jauh, kuantitatif.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, 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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.070
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.002
Science and technology studies0.0040.002
Scholarly communication0.0000.001
Open science0.0030.002
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0070.001

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 head0.023
GPT teacher head0.230
Teacher spread0.206 · 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 designObservational
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

Citations3
Published2022
Admission routes1
Has abstractyes

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