Disaster Raster Classifier
Plugin ID: 4822
Disaster risk classification (Flood, Flash Flood, Landslide) using Weighted Ensemble ML
(0) votes
Download latest
This plugin has no public version yet.
Plugin QGIS untuk klasifikasi risiko bencana berbasis raster menggunakan model Ensemble Learning (Random Forest, LightGBM, XGBoost) dengan metode Weighted Voting berdasarkan F1-Score. Dikembangkan sebagai bagian dari skripsi Program Studi Magister Teknologi Informasi, Jurusan Teknik, Universitas Gadjah Mada, Tahun Akademik 2023 Genap. 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. Developed as part of a thesis in the Master of Information Technology Program, Department of Engineering, Universitas Gadjah Mada, Academic Year 2023 Even Semester. 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.
