Terranova
Plugin ID: 5375
Earth-observation toolkit for QGIS: STAC search, classical + deep-learning classification, time-series change detection.
(0) votes
Terranova is an open-source QGIS plugin for modern Earth observation: STAC catalogue search and Cloud-Optimised-GeoTIFF download from Planetary Computer / Earth Search / Copernicus Data Space, an embedded interactive map for picking areas of interest and inspecting scene footprints, classical and deep-learning classification, accuracy assessment with PDF and Excel reports, and per-pixel time-series change detection. It offers native Qt dialogs plus a modern React dock panel via QtWebEngine. Requires QGIS 4.0 or newer (built on PyQt6); it is not supported on the QGIS 3.x / PyQt5 series.
External dependencies (NOT bundled with QGIS): the core features need the Python packages pystac-client, odc-stac, rasterio, rioxarray, scikit-learn and reportlab; the LightGBM and XGBoost classifiers additionally need lightgbm and xgboost; Excel export needs openpyxl; the optional Beta deep-learning features (Prithvi / Clay fine-tuning, SAM segmentation) further require torch, terratorch and segment-geospatial. Install them into the QGIS Python environment — on Windows use the OSGeo4W Shell, e.g. "pip install pystac-client odc-stac rasterio rioxarray scikit-learn reportlab openpyxl". Full per-platform instructions are in the repository README. Any feature whose dependency is missing reports a clear message instead of crashing. Licensed under GPL-3.0-or-later.
