[general]
name=Geomaticape Tools
description=Landsat, Sentinel-2, CBERS-04A preprocessing, PCA, spectral indices and unsupervised classification
version=1.6
qgisMinimumVersion=3.22
author=Geomatica Ambiental
email=nino@geomatica.pe
authorUrl=https://www.geomatica.pe/

about=GeomaticaPE is a QGIS plugin developed by Geomatica Ambiental to automate the preprocessing and analysis of multispectral satellite imagery.

    Supported sensors:
    - Landsat 4/5 TM, 7 ETM+, 8/9 OLI-TIRS - Collection 2 Level 2
    - Sentinel-2 MSI - Level-1C and Level-2A
    - CBERS-04A WPM - Pansharpening at 2 meter resolution
    - Any multispectral sensor - for PCA, indices and classification

    Tools organized in two groups:

    [Conversion]
    - Factor escala Landsat (Surface Reflectance + LST C)
    - Factor escala Sentinel-2 L1A
    - Factor escala Sentinel-2 L2A

    [Procesamiento]
    - CBERS-04A Pansharpening Brovey 2m
    - ACP Multiespectral (cualquier satelite)
    - Indices espectrales (17 indices: NDVI, SAVI, MSAVI, EVI, EVI2, GNDVI,
      GCI, NDREI, NDWI, MNDWI, NDMI, NBR, NBR2, NDSI, BSI, VARI, NGRDI)
    - Clasificacion no supervisada (K-Means, MiniBatch K-Means, GMM,
      ISODATA simplificado, Birch)

    REQUIREMENTS - Python modules needed (some are NOT bundled with QGIS):
    - numpy           (bundled with QGIS)
    - GDAL / osgeo    (bundled with QGIS)
    - matplotlib      (bundled with QGIS)
    - pandas          (NOT bundled - install with pip)
    - scikit-learn    (NOT bundled - install with pip)

    Open the OSGeo4W Shell (Windows) or QGIS Python Console and run:
       python -m pip install --upgrade scikit-learn pandas matplotlib

    Developed and maintained by:
    Geomatica Ambiental - www.geomatica.pe

icon=Icons/logo_geomatica.png

tracker=https://www.geomatica.pe/
repository=https://www.geomatica.pe/
homepage=https://www.geomatica.pe/
category=Raster
tags=landsat, sentinel, cbers, reflectance, pansharpening, pca, ndvi, savi, evi, ndwi, nbr, ndsi, kmeans, isodata, gmm, birch, unsupervised classification, clustering, spectral indices, remote sensing, raster
hasProcessingProvider=yes
server=False
experimental=False
deprecated=False

changelog=1.6
    - New: Unsupervised classification tool (K-Means, MiniBatch K-Means,
      GMM, ISODATA simplified, Birch). User picks number of classes K and
      method, output is Int16 raster with labels 1..K (0 = nodata).
    - Reorganized menu and Processing Toolbox into two groups:
        Conversion (scale factors) / Procesamiento (CBERS, PCA, indices, classification)
    1.5
    - New: Spectral indices tool with 17 indices (NDVI, SAVI, MSAVI, EVI,
      EVI2, GNDVI, GCI, NDREI, NDWI, MNDWI, NDMI, NBR, NBR2, NDSI, BSI,
      VARI, NGRDI). REQUIREMENTS.txt added.
    1.4
    - New: PCA / ACP Multispectral tool (any sensor) with PCA1+PCA2+PCA3
      output, variance bar chart and correlation matrix.
    1.3
    - New: CBERS-04A Brovey Pansharpening at 2m with vector AOI clipping.
    1.2
    - Scale factors for Landsat C2 L2 (SR + LST) and Sentinel-2 L1A/L2A.
