Estimating fire radiative power from concurrent ERA5 weather and vegetation conditions in Kalimantan peatlands; RF/XGBoost vs AutoGluon
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Updated
Jun 25, 2026 - Jupyter Notebook
Estimating fire radiative power from concurrent ERA5 weather and vegetation conditions in Kalimantan peatlands; RF/XGBoost vs AutoGluon
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Proyek Mata Kuliah Kapita Selekta Fisika Komputasi
Google Earth Engine app for near-real-time wildfire monitoring across Kalimantan, Indonesia. Integrates VIIRS active fire detections, Landsat 8/9 burn severity (ATBI/dATBI), and Sentinel-1 SAR. Includes desktop and mobile GEE App versions.
Transpiler bahasa pemrograman berorientasi objek dan lahan (Sawit/S++)
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