PCA4CD is a QGIS plugin that computes Principal Component Analysis (PCA) and builds change detection layers using PCA's dimensionality reduction properties:
- Generate (or load) the principal components of the input layers
- (Optional) Build a change detection layer from the components
Read more at: https://smbyc.github.io/PCA4CD
The plugin bundles its required Python dependencies and should work out of the box:
- Dask
- PyQtGraph
Requirements: QGIS >= 3.18. Compatible with both QGIS 3.x (Qt5/PyQt5) and QGIS 4.x (Qt6/PyQt6).
If dependency loading fails, install them manually using conda:
conda install -c conda-forge dask pyqtgraph qgisThen open QGIS from the conda shell with the qgis command and install the plugin.
Source code, issue tracker, and ideas: https://github.com/SMByC/PCA4CD
Plugin page: https://plugins.qgis.org/plugins/pca4cd/
PCA4CD was developed and implemented by the Group of Forest and Carbon Monitoring System (SMByC), operated by the Institute of Hydrology, Meteorology and Environmental Studies (IDEAM) — Colombia.
Author and developer: Xavier C. Llano xavier.corredor.llano@gmail.com
Theoretical support, testing and product verification: SMByC-PDI group
PCA4CD is free/libre software licensed under the GNU General Public License.