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Downscale Anything with Random Forest QGIS 4 compatibility
Not QGIS 4 ready Quiet
Not yet — the latest version declares max QGIS version 3.99.0, so it is not offered to QGIS 4 users.
Downscale Anything with Random Forest is a QGIS Processing plugin that allows flexible dasymetric downscaling of coarse rasters to user-defined resolutions. The algorithm uses high-resolution covariates and Random Forest regression to redistribute values. Key features include: 1. User-defined target resolution. 2. Random Forest regression with fast pixel sampling. 3. Support for random or spatial-block splitting. 4. Evaluation metrics (R², RMSE, MAE) and OOB score. 5. Outputs raster, CSV (evaluation + feature importance), and PNG plots.
About
This plugin provides a practical way to perform machine-learning-based downscaling in QGIS. It is suitable for spatial analysis, environmental modeling, and urban/regional studies. Example use cases include downscaling VIIRS Nighttime Lights (avg_rad), Land Surface Temperature (LST), population density (e.g., WorldPop), and other gridded indicators (e.g., PM2.5, precipitation, socio-economic indices). Created by Firman Afrianto.
| Author | Firman Afrianto |
|---|---|
| Downloads | 1,454 |
| Latest version | 1.0.0 |
| Last updated | 2025-08-20 (422 days ago) |
| Min QGIS | 3.0.0 |
| Max QGIS | 3.99.0 |
| QGIS 4 ready | No |
| Maintenance | Quiet |
| Categories | Spatial analysis, AI & machine learning |
| Tags | urban planning, ai, regression, spatial analysis, downscaling, random forest, raster |
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Maintenance: Active = updated within 1 year, Quiet = 1–3 years, Likely abandoned = over 3 years.