Home › Remote sensing › Wildfire Analysis Toolkit
Wildfire Analysis Toolkit QGIS 4 compatibility
QGIS 4 ready Active
Yes — Wildfire Analysis Toolkit supports QGIS 4 (declared max version 4.99.0).
Wildfire burn severity from satellite imagery to MTBS-style classes, area summaries, maps and reports: NASA HLS, Landsat and Sentinel-2, calibrated, with dNBR, RdNBR and RBR.
About
Processing tools for wildfire burn severity, modeled on the MTBS QGIS Fire Mapping Tool. They appear in the Processing Toolbox under Wildfire Analysis Toolkit. Burn severity (whole pipeline) goes from a fire's perimeter and dates to an image pair, pre- and post-fire NBR, dNBR with the unburned offset, MTBS severity classes, area summaries per sub-area and an HTML report. The fire name and dates can be read from a WFIGS perimeter record. Severity map (PDF) makes a print-ready map. Imagery: NASA HLS v2.0 (needs a free NASA Earthdata login in a .netrc file), Landsat 4-9 Collection 2 and Sentinel-2 L2A from Microsoft Planetary Computer (no account), or scenes you downloaded. Images are calibrated from their metadata, cloud-masked, and read only for the area of interest. Severity: Build dNBR (dNBR, RdNBR, RBR and the offset), Draft burned-area perimeter, Classify severity (MTBS classes, with thresholds given or estimated from nearby MTBS fires), and Burn severity summary (percent, hectares and acres per class for a fire and its sub-areas). MTBS fires: give an MTBS fire's id or name and year, and the plugin fetches its perimeter and MTBS record (ignition date, MTBS's own image pair, thresholds) itself, then compares the result with MTBS's published classes. Find MTBS fires looks up any of the 31,000+ fires MTBS has mapped since 1984. No manual download: the USGS MTBS records are fetched and cached automatically. Validated against published MTBS fires: with MTBS's thresholds, the classes agree at a mean kappa of 0.78. Uses only QGIS, GDAL and NumPy, which ship with QGIS. The README in the code repository has every parameter, the method, troubleshooting and the validation results.
| Author | Stephen Conklin |
|---|---|
| Downloads | 8 |
| Latest version | 2.1.2 |
| Last updated | 2026-11-08 (4 days ago) |
| Min QGIS | 3.44.0 |
| Max QGIS | 4.99.0 |
| QGIS 4 ready | Yes |
| Maintenance | Active |
| Category | Remote sensing |
| Tags | wildfire, fire, burn severity, mtbs, dnbr, rdnbr, rbr, nbr, hls, landsat, sentinel-2, planetary computer, earthdata, stac, remote sensing, zonal statistics, processing |
Homepage · Repository · Issue tracker · Official page
QGIS plugin news, once a week
GIS Plugins Weekly: new plugins, useful updates and QGIS 4 readiness changes. Free, unsubscribe anytime. See a sample issue.
Alternatives in Remote sensing
- Semi-Automatic Classification PluginQGIS 4 ready
The Semi-Automatic Classification Plugin (SCP) allows for the supervised classification of remote sensing images, providing tools for the do
- Google Earth EngineQGIS 4 ready
Integrates QGIS with Google Earth Engine
Raster classification in QGIS with 11 machine learning algorithms, Optuna hyperparameter search, SHAP explanations, class imbalance handling
Related plugins
- Universal Earth ObservationQGIS 4 ready
Universal Earth Observation è una piattaforma professionale per QGIS dedicata alla ricerca, consultazione, autenticazione, download e integr
- Observatorio Forestal UTNQGIS 4 ready
Institutional QGIS plugin of the UTN Forest Observatory (Universidad Técnica del Norte - Ecuador) for active wildfire monitoring, historical
- Landsat DownloadNot QGIS 4 ready
Bulk download of Landsat 4-9 Collection 2 Level-2 imagery (global archive since 1982, no account needed) for an AOI from a layer or GPKG fil
- Pobieranie LandsatNot QGIS 4 ready
Masowe pobieranie zdjęć Landsat 4-9 (archiwum globalne od 1982 r., bez zakładania konta) dla zasięgu warstwy lub pliku GPKG, z gotowymi prod
- Optical DownloaderNot QGIS 4 ready
Download cloud-masked Sentinel-2 and Landsat 8/9 imagery from Microsoft Planetary Computer, no account or API key required.
- Spectral HarborQGIS 4 ready
Download selected Sentinel-2A and Landsat 8/9 surface-reflectance bands via Element 84 Earth Search or Microsoft Planetary Computer in QGIS
Maintenance: Active = updated within 1 year, Quiet = 1–3 years, Likely abandoned = over 3 years.