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Supervised and unsupervised classification (Random Forest, SVM). Hyperspectral data filtering. Radiometric and atmospheric corrections. 2. Google Earth Engine (GEE)
Access petabytes of public geospatial datasets—including decades of historical satellite imagery—without downloading a single file to your hard drive. Cost: Free for academic, research, and educational use. 3. Python and R Libraries
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Consider open-source alternatives for image processing and analysis, such as QGIS, GRASS GIS, or tools available in Python libraries like scikit-image and GDAL.
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