Disaster Raster Classifier
Plugin ID: 4822
Disaster risk classification (Flood, Flash Flood, Landslide) using Weighted Ensemble ML
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Plugin QGIS untuk klasifikasi risiko bencana berbasis raster menggunakan model Ensemble Learning (Random Forest, LightGBM, XGBoost) dengan metode Weighted Voting berdasarkan F1-Score. Input: 9 variabel raster (Slope, Elevasi, Land Use, NDVI, Curah Hujan, Jarak ke Pantai, Buffer Sungai, Kerapatan Kontur, Jarak Antar Kontur). Output: Peta risiko 3 kelas (Low / Medium / High Risk). Studi kasus: Yogyakarta. --- A QGIS plugin for raster-based disaster risk classification using Weighted Ensemble Learning (Random Forest + LightGBM + XGBoost) with Weighted Voting based on F1-Score. Inputs: 9 raster variables (Slope, Elevation, Land Use, NDVI, Rainfall, Distance to Coast, River Buffer, Contour Density, Contour Spacing). Output: 3-class disaster risk map (Low / Medium / High Risk). Study area: Yogyakarta, Indonesia.
