Pendekatan Citra Satelit Dalam Analisis Perubahan Vegetasi Di Daerah Pesisir Baurung
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.
Bibliographic record
Abstract
Wilayah pesisir Baurung di Kabupaten Majene mengalami perubahan tutupan vegetasi yang signifikan akibat urbanisasi dan pembangunan pesat dalam dekade terakhir, yang menyebabkan penurunan ruang terbuka hijau dan kualitas ekosistem pesisir. Penelitian ini bertujuan untuk menganalisis perubahan vegetasi di daerah pesisir Baurung menggunakan pendekatan citra satelit resolusi tinggi yang dikombinasikan dengan metode interpolasi spasial Kriging. Dengan teknik ini, diperoleh peta prediksi vegetasi yang detail dan akurat, memungkinkan identifikasi area yang mengalami degradasi maupun area dengan tutupan vegetasi tinggi yang perlu dipertahankan. Hasil penelitian menunjukkan adanya penyusutan signifikan vegetasi alami dengan peningkatan area terbangun di sepanjang pesisir, berpotensi memperburuk risiko erosi, banjir rob, dan degradasi ekologis. Pendekatan ini memberikan alat penting bagi pengelolaan ruang terbuka hijau yang adaptif dan berkelanjutan serta sebagai dasar kebijakan mitigasi perubahan iklim di wilayah pesisir Baurung.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it