NetCDF Territorial Classification and Python Colab Scripts Based on Welch Power Spectrum SbAI Signals Between 0.1 and 0.5 Cycles per Year in Southern South America (Argentina, Chile, and Uruguay). (FS-WEL-2-10)

Abstract

This notebook implements a full pipeline for band-pass spectral analysis and clustering of FIR-filtered SbAI data:

- Loads Welch spectra per pixel after FIR band-pass filtering (10–2 years). - Applies RobustScaler preprocessing to mitigate outliers and normalize features. - Performs KMeans++ clustering (n_clusters=4, n_init=10). - Generates classification maps with geographic boundaries from a geopackage. - Produces cluster centroids across all frequencies and representative pixels closest to centroids. - Provides autonomous visualization scripts to replicate maps and spectral plots without recalculating clustering.