[general]
name=Disaster Raster Classifier

qgisMinimumVersion=3.0
qgisMaximumVersion=3.99

description=Disaster risk classification (Flood, Flash Flood, Landslide) using Weighted Ensemble ML

version=1.0.3

author=Zanu Alfandi Kamil

email=zanukamil@gmail.com

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). 

repository=https://github.com/fandizanu/disaster-raster-classifier

homepage=https://github.com/fandizanu/disaster-raster-classifier

tracker=https://github.com/fandizanu/disaster-raster-classifier/issues

tags=raster, classification, disaster, flood, flash flood, landslide, machine learning, ensemble, random forest, lightgbm, xgboost, risk mapping, natural hazard, weighted voting, yogyakarta

category=Raster
icon=icons/icon.png

experimental=False
deprecated=False
hasProcessingProvider=no

changelog=Version 1.0.3 (2026-03-18): Metadata Update. Weighted Ensemble (RF + LightGBM + XGBoost) classification with F1-Score based weighted voting. 9 raster variable inputs. Auto-fill from folder. Automatic risk class styling. Built-in model support.
