NetCDF Territorial Classification and Python Colab Scripts Based on Welch Power Spectrum SbAI Signals at 1 Cycle per Year in Southern South America (Argentina, Chile, and Uruguay). (FS-WEL-1y)

Abstract

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

- Applies FIR band-pass filter (0.9–1.1 cycles/year, ~1 year). - Computes Welch spectra per pixel in the 1-year band. - Calculates preserved energy maps with provincial boundaries. - Applies RobustScaler preprocessing to mitigate outliers. - Performs KMeans++ clustering (n_clusters=5, n_init=10). - Generates classification maps with geographic boundaries from a geopackage. - Produces cluster centroids across the 1-year band and representative pixels closest to centroids. - Provides autonomous visualization scripts to replicate maps and spectral plots without recalculating clustering.