Terranova 1.0.3 — QGIS Python Plugins Repository

Changelog

1.0.3 (2026-06)
- Officially target QGIS 4.0+ only (qgisMinimumVersion raised to
4.0). The plugin is built on PyQt6 and uses QtWebEngine for its
map dock; the QGIS 3.x / PyQt5 LTR series is not supported.
1.0.2 (2026-06)
- Declare the plugin's external Python dependencies and how to
install them in the About metadata (per plugins.qgis.org
guidelines).  No functional change.
1.0.1 (2026-06)
- Beta-features toggle: time-series, SAM, foundation models and CDSE
are hidden by default behind a header switch.
- Catalogue composite is now discoverable via a checkbox under the
date range, with a max-images cap.
- Accuracy: validation-vector vs random-points modes; interactive
point-by-point labelling pad with class-name persistence;
metrics shown inline (OA as a percentage) and exported to Excel.
- Faster, lighter dropdowns on lower-spec / HiDPI machines.
- Fixes: AOI-rectangle persistence, percentage formatting in PDF
and Excel reports, plus packaging cleanups.
1.0.0 (2026-05)
First public release.
- STAC catalogue search (Planetary Computer / Earth Search / CDSE)
with
embedded interactive Leaflet map for AOI picking and overlap-aware
scene-footprint inspection.  Multi-select batch download as COG;
optional mean/median composite from up to N images.
- Supervised classification: Random Forest, Extra Trees, Gradient
Boosting, LightGBM, XGBoost, KNN, Logistic Regression, MLP — each
with a 2-4 sentence pros/cons hint in the panel.
- Unsupervised classification: K-Means + ISODATA, fit on a random
subsample with output as a labelled COG.
- Accuracy assessment: validation-vector mode (sample raster at every
pixel covered by a vector) AND random-points mode (generate
random / stratified / equalized-stratified points; step through
each one in a labelling pad with auto-pan + zoom-to-pixel +
class-name persistence; compute confusion matrix straight from
the labelled points file).  PDF + Excel report with OA / kappa /
per-class UA / PA / F1; OA shown as a percentage.
- Beta tabs (off by default): time-series + per-pixel change detection
(CuSum + BFAST/LandTrendr); SAM segmentation; Prithvi / Clay
foundation-model fine-tune scaffolding; CDSE OAuth sign-in.
- Dual UI: native Qt dialogs for compatibility, React-in-QWebEngine
dock with embedded OpenStreetMap / Esri satellite basemap for
the primary surface.
- NDVI Processing algorithm; CI on Linux/Windows/macOS.

Approved

yes

Author

Token GitHub auto deploy

Uploaded

2026-06-04T20:25:11.532194+00:00

Minimum QGIS version

4.0.0

Maximum QGIS version

4.99.0

External dependencies (PIP install string)

None