1.0.2: unsupervised classification (k-means groups, numpy only) in tab 6 and in Processing, with the same features and depth mask as the supervised one; a 'none' choice for the green, red and NIR bands and for the optional layers of tab 6; one switch to use or not the reflectance bands instead of a tick box per band; 'training samples' instead of 'reference data'; updated quick guide. 1.0.1: passes the plugins.qgis.org security scan (no silently ignored errors), new icon. 1.0.0: first release, built on StarShoal 1.0.0 (download, preparation, ACOLITE import, Hedley sunglint); median composite; Lyzenga depth-invariant index with a floor at deep-water noise (no holes, floored pixels flagged); supervised classification (Random Forest, maximum likelihood) with a three-state depth mask and a per-pixel bottom-signal test, spatial-block validation by class, accuracy by polygon and by pixel, class balance off by default, strip-by-strip processing (a whole tile fits in memory), date checks in composites, polygon shrinking, optional majority filter and minimum mapping unit, common spatial blocks, log and report in Spanish or English, QGIS 4 enum names, an accuracy report with error-corrected areas, an optional minimum probability (low-confidence pixels left unclassified), stratified random validation points and map assessment with them, a water-clarity ranking of the scenes, optional bottom texture (local sd) as features, Landsat 4-9 Collection 2 Level-2 import, any reflectance raster (PlanetScope, drones), export of class and change maps to polygons, simple and advanced mode, help buttons that open the manual at the right section, save and load of the settings of every tab, change between two class maps, citation files (CITATION.cff, .zenodo.json), and automatic depth sign from the values for rasters without StarShoal metadata
yes
adanielibarra
2026-10-07T14:52:24.452496+00:00
3.28.0
4.99.0
None
no
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