Awesome Spectral Indices (Q9621)

Awesome Spectral Indices is a standardized machine-readable catalogue of spectral indices for remote sensing in Earth system research. Currently, the catalogue has 228 spectral indices groupedin 7 application domains: vegetation, water, burn, snow, urban, radar, and kernel indices. Note that radar and kernel indices represent methodological approaches. Each index in the catalogue consists of an item with 9 attributes, listed as follows: short_name: Short name (acronym) of the index. long_name: Long name (original name) of the index. application_domain: Application domain of the index (one of the 7 above-mentioned groups). formula: Formula of the index given as a standardized expression. bands: Required bands and additional parameters for the index computation. platforms:List of platforms with the required bands for the index computation. reference:Link to the index source. date_of_addition: Date of addition to the catalogue. contributor:GitHub user link of the index contributor. The catalogue is released in two formats: JSON and CSV. The JSON file follows a key-value model with the index acronym as key and the 9 attributes as value. The CSV file follows a relational model with indices as rows and the 9 attributes as columns. The two filenames are: spectral-indices-dict.json (JSON file) spectral-indices-table.csv (CSV file) In addition, the following files describing bands and constants are included: bands.json constants.json For a complete and detailed description, please seegithub.com/awesome-spectral-indices/awesome-spectral-indices. The dynamic GitHub repositoryincludes the source code used to create the catalogue.