{"name": "Disaster Raster Classifier", "package_name": "disaster_classifier", "description": "Disaster risk classification (Flood, Flash Flood, Landslide) using Weighted Ensemble ML", "about": "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). --- 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).", "homepage": "https://github.com/fandizanu/disaster-raster-classifier", "repository": "https://github.com/fandizanu/disaster-raster-classifier", "tracker": "https://github.com/fandizanu/disaster-raster-classifier/issues", "author": "Zanu Alfandi Kamil", "tags": ["raster", "flood", "disaster", "classification", "random forest", "machine learning", "landslide", "natural hazard", "xgboost", "lightgbm", "yogyakarta", "weighted voting", "risk mapping", "ensemble", "flash flood"], "downloads": 659, "latest_version": "1.0.3", "versions": [{"version": "1.0.3", "experimental": false, "qgis_min": "3.0.0", "qgis_max": "3.99.0", "downloads": 525, "uploaded_by": "fandizanu2631", "upload_datetime": "2026-03-18T07:21:51.218185"}, {"version": "1.0.2", "experimental": false, "qgis_min": "3.0.0", "qgis_max": "3.99.0", "downloads": 132, "uploaded_by": "fandizanu2631", "upload_datetime": "2026-03-10T06:28:14.248258"}]}