Home › Remote sensing › GeoAccuRate
GeoAccuRate QGIS 4 compatibility
Not QGIS 4 ready Active
Not yet — the latest version declares max QGIS version 3.99.0, so it is not offered to QGIS 4 users.
Accuracy assessment done right — Olofsson, Pontius, and publication-ready reports in one click.
About
GeoAccuRate provides statistically rigorous accuracy assessment for land cover and remote sensing classification validation in QGIS. It implements the area-weighted estimation method of Olofsson et al. (2014), Pontius quantity and allocation disagreement metrics, Wilson confidence intervals, and automated stratified random sampling with sample size optimization. Generates publication-ready PDF reports with confusion matrices (counts and row-normalized), per-class metrics, interpretation notes, ISO 19157 quality element mapping, and auto-generated methods text with citations. Designed for researchers, students, and agencies requiring reproducible and defensible accuracy assessment without leaving QGIS.
| Author | Osman Ibrahim |
|---|---|
| Downloads | 680 |
| Latest version | 1.3.1 |
| Last updated | 2026-02-21 (236 days ago) |
| Min QGIS | 3.34.0 |
| Max QGIS | 3.99.0 |
| QGIS 4 ready | No |
| Maintenance | Active |
| Category | Remote sensing |
| Tags | classification, remote sensing, olofsson, pontius, iso 19157, confusion matrix, land cover, validation, accuracy assessment, quality |
Homepage · Repository · Issue tracker · Official page
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
- GeoClassifyQGIS 4 ready
Supervised and unsupervised raster land use and land cover classification with advanced spatial validation
- AcATaMaQGIS 4 ready
AcATaMa is a powerful and complete Qgis plugin for accuracy assessment that provides comprehensive support for sampling, response design and
- GEE LULC ToolkitNot QGIS 4 ready
Land-use/land-cover mapping with Google Earth Engine: load Sentinel-1/2 and Landsat composites, compute spectral indices, create and label s
- GLUBQGIS 4 ready
Seagrass and shallow seabed mapping: Sentinel-2 or Landsat, water-column correction and supervised classification with a depth mask.
- Baru ValidatorNot QGIS 4 ready
QGIS plugin for validating machine learning models for Baru detection. Supports raster and vector classification inputs, calculates Kappa, Q
- GeoAccuracyQGIS 4 ready
Generate confusion matrices and advanced mapping accuracy statistics (Overall, User, Producer, Balanced Accuracy, Cohen's Kappa, MCC, F1-Sco
Maintenance: Active = updated within 1 year, Quiet = 1–3 years, Likely abandoned = over 3 years.