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All Journal Cannarium (Jurnal Ilmu-ilmu Pertanian)
Rato Firdaus Silamon
Universitas mataram
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Economics, Econometrics & Finance Environmental Science Social Sciences

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Evaluasi Sensitivitas Ambang dan Separabilitas Spektral Indeks dMIRBI untuk Pemetaan Area Terbakar di Savana Pegunungan Tropis Andrie Ridzki Prasetyo; Niechi Valentino; Rato Firdaus Silamon
Cannarium Vol 24 No 1 (2026): 24(1)
Publisher : Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/cannarium.v24i1.12044

Abstract

The Mid-Infrared Burn Index (MIRBI) was designed for savanna ecosystems, yet its threshold sensitivity and spectral separability in Indonesian tropical montane savannas remain poorly documented. This study evaluates MIRBI for the Bukit Anak Dara fire (Sembalun, East Lombok, 31 August – 2 September 2024) using Landsat 8 OLI–TIRS Level-2 SR data acquired on 29 August and 14 September 2024. The difference image dMIRBI was tested at nine thresholds (7,000–25,000) and evaluated against a 319.61 ha control polygon visually interpreted from Sentinel-2A imagery (12 September 2024) using recall, precision, F1, IoU, kappa, and overall accuracy. Spectral separability statistics, ROC analysis, automatic Otsu thresholding, and bootstrap confidence intervals supported the evaluation. The dMIRBI distributions of burned and unburned pixels are highly separable (JM = 1.759; M-statistic = 2.176; AUC = 0.9960). The empirical threshold dMIRBI ≥ 15,000 yields 318.87 ha (0.74 ha or 0.2% from control) with F1 = 0.937 (95% CI [0.930; 0.942]), IoU = 0.881, kappa = 0.927, and OA = 98.4%. The Otsu threshold (21,906) gives 281.61 ha (only 4.4 ha less than the official BKPH Rinjani ). Only 52.2% of SiPongi+/FIRMS hotspots fall inside the control polygon, confirming the complementarity of hotspots and spectral indices. Keywords: dMIRBI, Landsat, Otsu, Burned Area Mapping, Spectral Separability
Co-Authors Andrie Ridzki Prasetyo Niechi Valentino