Geomaticape Tools
Plugin ID: 4755
Landsat C2 L1/L2, Sentinel-2, CBERS-04A, MODIS 09/11/12/13 scale factor per product independently, PCA, spectral indices, supervised + unsupervised classification, band extraction, vector geoprocessing, zonal statistics and multi-point sampling
(24) votes
GeomaticaPE is a QGIS plugin developed by Geomatica Ambiental to automate
preprocessing and analysis of multispectral satellite imagery and to
support common geoprocessing tasks.
Tools organized into 7 groups:
[Conversion]
- Factor Escala LandSat C2 L1 (SR + LST + PAN)
- Factor escala Landsat C2 L2 (SR + LST)
- Factor de escala Sentinel-2 L1C (10m)
- Factor de escala Sentinel-2 L2A (10m)
- Factor escala MODIS 09 (Reflectancia Superficial)
- Factor escala MODIS 11 (LST C)
- Factor escala MODIS 12 (Cobertura del Suelo)
- Factor escala MODIS 13 (NDVI / EVI)
[Procesamiento]
- ACP Multiespectral (cualquier satelite)
- CBERS-04A Pansharpening Brovey 2m
- Clasificacion no supervisada (K-Means / GMM / ISODATA / Birch)
- Clasificacion supervisada y validacion
- Definir celdas nulas
- Extraer bandas de imagenes multiespectrales
- Firma espectral (Landsat 5/7/8/9 / Sentinel-2 / ASTER)
- Indices espectrales (NDVI, SAVI, EVI, NDWI, NBR, NDSI...)
- Mosaico de imagenes
- Reproyectar raster
- Tasseled Cap (Brightness / Greenness / Wetness)
[PostProcesamiento]
- Clasificar raster por rangos
- Reclasificar raster (remapeo de valores)
- Reporte clasificacion vectorial (area y graficos)
- Reporte de clasificacion raster (area, porcentaje, estadisticas)
[Geoprocesamiento]
- Calcular angulo de poligono
- Crear poligonos a partir de tabla
- Estadistica zonal raster (Excel/CSV)
- Extraer valores puntuales de multiples raster
- Poligono superpuesto propio
- Secciones transversales
[Descarga GEE]
- Descargar imagenes Landsat / Sentinel-2
- Descargar indices espectrales (GEE)
- Firma espectral profesional (GEE)
[MDE]
- Descargar MDE
- Generar curvas de nivel intermedias
- Generar elevaciones puntuales
COMPATIBILITY:
- Qt5 (PyQt5) and Qt6 (PyQt6) via qgis.PyQt compatibility layer
- QGIS 3.28 to 4.99
REQUIREMENTS - Python modules bundled with QGIS (no installation needed):
- numpy (all tools)
- GDAL / osgeo (all tools)
- matplotlib (QGIS LTR 3.22+; supervised_classification, pca_satellite)
REQUIREMENTS - External modules NOT bundled with QGIS (must install):
- scikit-learn REQUIRED by: Unsupervised Classification (KMeans,
MiniBatchKMeans, GaussianMixture, Birch, StandardScaler),
Supervised Classification (DecisionTree, RandomForest,
NaiveBayes, MLP, KNN, train_test_split, classification_report),
Multispectral PCA (PCA, StandardScaler, make_pipeline)
- pandas REQUIRED by: Multispectral PCA (variance table),
Create Polygons from Table (read CSV/TXT/XLS/XLSX)
- openpyxl REQUIRED by: Raster Zonal Statistics (export .xlsx),
Extract Point Values (export .xlsx),
Classification Report (export .xlsx with charts),
Create Polygons from Table (read .xlsx)
- xgboost (Optional) REQUIRED by: Supervised Classification (XGBoost)
- catboost (Optional) REQUIRED by: Supervised Classification (CatBoost)
- earthengine-api REQUIRED by: GEE Descargar Imagenes, GEE Descargar Indices,
GEE Firma Espectral, Descargar MDE
Install all external dependencies (run once):
python -m pip install --upgrade scikit-learn pandas openpyxl xgboost catboost earthengine-api
Developed and maintained by:
Geomatica Ambiental - www.geomatica.pe
Acknowledgments:
- Point Sampling Tool by Borys Jurgiel (GPL v2+) - inspiration for the
multi-raster point sampling tool. https://github.com/borysiasty/pointsamplingtool
vector
raster
landsat
polygon
confusion matrix
remote sensing
csv
pca
bbox
dos1
supervised classification
sentinel
kappa
xlsx
knn
svm
random forest
gmm
ndvi
lst
mlp
cbers
birch
multiband
zonal statistics
cross validation
kmeans
point sampling
isodata
band stacking
decision tree
clipping
lda
qda
pansharpening
spectral indices
etm
tirs
c2 l1
mss
tm
c2 l2
oli
surface reflectance
balanced accuracy
band combination
logistic regression
naive bayes
cutline
study area
gradient boosting
extra trees
weighted brovey
vrt pansharpened
band extraction
clip raster
brovey
f1
