🛰️ Today I’m sharing one of my favourite large-scale remote sensing experiments:
a Principal Component Analysis (PCA) of MODIS composite data for the three central provinces of Canada (Alberta, Saskatchewan, Manitoba).
On this map:
- PC1 emphasizes broad ecological zones and vegetation productivity
- PC2 highlights soil and surface moisture differences
- PC3 captures subtle spectral variations — often linked to geology, wetlands, disturbance patterns, or local microclimates
Even though it looks abstract, PCA is a kind of “spectral fingerprint” of the land. It summarises thousands of square kilometres into a single visual structure that shows how the Canadian Prairies and Boreal regions differ and transition into one another.
#RemoteSensing #MODIS #Geospatial #EarthObservation #Rstats #DataVisualization #PCA #SatelliteData #Canada #Alberta #Saskatchewan #Manitoba #EnvironmentalData #GeoDataArt #GeoSpectralArt