David Montero Loaiza

Awesome Spectral Indices (ASI) is an open, community-driven catalogue designed to make spectral indices easy to discover, document, and compute. Five years after its first release, ASI supports 260+ indices across multiple programming languages and platforms.

Understanding the Earth system requires observing it: repeated and spatially explicit Earth observation (EO) measurements are what turn “the planet” into variables we can analyze, compare and model.

Earth system science is increasingly driven by an unprecedented influx of heterogeneous Earth observation and model data, but these data typically arrive as disparate products, tiles, and collections rather than as uniform analysis-ready cubes.

Five years ago, Awesome Spectral Indices (ASI) was launched to address a persistent gap in Earth observation workflows: while hundreds of spectral indices existed in the literature, their definitions were fragmented, inconsistently documented, and rarely designed for direct progr…

The Sentinel-2 mission, pivotal to the European Space Agency's Copernicus program, features two satellites with the MultiSpectral Instrument (MSI) for high-to-medium resolution (10-60 m) imaging in visible (VIS), near-infrared (NIR), and shortwave infrared (SWIR) bands.

The Sentinel-2 mission, pivotal to the European Space Agency's Copernicus program, features two satellites with the MultiSpectral Instrument (MSI) for high-to-medium resolution (10-60 m) imaging in visible (VIS), near-infrared (NIR), and shortwave infrared (SWIR) bands.

In an era where access to Earth system data is expanding at an unprecedented rate, effectively managing this highly-dimensional and voluminous influx poses significant challenges.

In the rapidly evolving field of remote sensing, spectral indices are pivotal for monitoring and deciphering Earth system dynamics, including vegetation dynamics, water bodies ecosystems, and fire regimes.

Spectral Indices derived from Remote Sensing data are widely utilized for understanding Earth System dynamics. Accelerated climate and land change makes the monitoring of Earth surface processes a top priority.