Home › Remote sensing › Semi-Automatic Classification Plugin
Semi-Automatic Classification Plugin QGIS 4 compatibility
QGIS 4 ready Active
Yes — Semi-Automatic Classification Plugin supports QGIS 4 (declared max version 4.98.0).
The Semi-Automatic Classification Plugin (SCP) allows for the supervised classification of remote sensing images, providing tools for the download, the preprocessing and postprocessing of images.
About
Developed by Luca Congedo, the Semi-Automatic Classification Plugin (SCP) allows for the supervised classification of remote sensing images, providing tools for the download, the preprocessing and postprocessing of images. Search and download is available for Landsat, Sentinel-2 images. Several algorithms are available for the land cover classification. This plugin is built on Remotior Sensus library and requires the installation of additional dependencies. For more information please visit https://fromgistors.blogspot.com .
| Author | Luca Congedo |
|---|---|
| Downloads | 2,681,695 |
| Latest version | 9.0.5 |
| Last updated | 2026-10-07 (8 days ago) |
| Min QGIS | 3.99.0 |
| Max QGIS | 4.98.0 |
| QGIS 4 ready | Yes |
| Maintenance | Active |
| Category | Remote sensing |
| Tags | classification, remote sensing, mask, sentinel, landsat, clip, spectral signature, land cover, landscape, accuracy, raster, supervised classification, analysis, processing, copernicus, random forest, remotior sensus, foundation, deep learning, machine learning |
Homepage · Repository · Issue tracker · Official page
Alternatives in Remote sensing
- 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
- SentinelHubQGIS 4 ready
SentinelHub plugin enables users to harness the power of Sentinel Hub services directly from QGIS.
Related plugins
- EnMAP-Box 3Not QGIS 4 ready
Imaging Spectroscopy and Remote Sensing for QGIS
- AI Edit by TerraLabQGIS 4 ready
Generative AI image editing for QGIS 3.22 to 4. Show a redevelopment, a planted street, a flood or an orthophoto redrawn as a clean site pla
- GeoClassifyQGIS 4 ready
Supervised and unsupervised raster land use and land cover classification with advanced spatial validation
- Nimbo's Earth BasemapsQGIS 4 ready
Nimbo's Earth Basemaps is an innovative Earth observation service providing cloud-free, homogenous mosaics of the world's entire landmass as
- 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
- AI Segmentation by TerraLabQGIS 4 ready
AI segmentation in QGIS 3.22 to 4. Draw a zone, name an object and get every building footprint, tree or solar panel as vector polygons, or
Maintenance: Active = updated within 1 year, Quiet = 1–3 years, Likely abandoned = over 3 years.
