# awesome-spectral-indices/awesome-spectral-indices

A ready-to-use curated list of Spectral Indices for Remote Sensing applications.

Repository: https://github.com/awesome-spectral-indices/awesome-spectral-indices
Canonical: https://ross.abutalabs.com/products/awesome-spectral-indices
Homepage: https://awesome-spectral-indices.github.io/awesome-spectral-indices/
Language: Python
License: MIT
License Family: permissive
Topics: python, gis, raster, remote-sensing, satellite-imagery, google-earth-engine, earth-engine, geographic-information-systems, javascript, awesome, landsat, sentinel, modis, landsat-8, sentinel-2, landsat-7, spectral-indices, spectral-index, radar, sentinel-1
Last push: 2026-08-30T04:32:20+00:00

## Health v2 (maintenance only)
Score: 90/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 100, release rhythm 70, longevity 100
- inputs: {"age_days": 1974, "days_push": 3, "days_rel": 42, "gap_med": 91, "n_releases_24m": 6}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1170, forks 187 (observed 2026-09-01T02:13:59.025851+00:00)

## What it is
A curated, ready-to-use list of spectral indices for remote sensing applications, covering sensors like Landsat, Sentinel, and MODIS. It serves as a reference dataset with an accompanying Python package (Spyndex) and a published scientific paper.

## Use cases
- find the right spectral index for NDVI-like vegetation analysis
- look up formulas for satellite imagery indices
- compute spectral indices in Google Earth Engine
- compare indices across Landsat and Sentinel sensors
- reference list of remote sensing indices for research
- use spectral index definitions in a Python GIS pipeline

## When to choose
- you work with satellite imagery and need standard spectral index formulas
- you want a citable, curated reference of indices
- you use Google Earth Engine, Python, or JavaScript for remote sensing

## When to avoid
- you need image processing or raster manipulation tools rather than index definitions
- you need a GUI application for analyzing imagery

## Facets
- artifact type: dataset
- maturity: active
- function: data-science, developer-tools
- domain: data-science
- platform: python, cross-platform
- tags: spectral-indices, remote-sensing, satellite-imagery, google-earth-engine, gis, awesome-list, landsat, sentinel, modis, raster, geospatial, javascript

## Member repositories
- awesome-spectral-indices/awesome-spectral-indices (main) score 90

## Provenance
- Observed fields: from GitHub, fetched 2026-09-01T02:13:59.025851+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:28:36.105144+00:00, confidence not recorded.
  - readme: https://github.com/awesome-spectral-indices/awesome-spectral-indices (fetched 2026-09-01T02:13:59.025851+00:00, sha a75a4d10421c)
  - homepage: https://awesome-spectral-indices.github.io/awesome-spectral-indices/ (fetched 2026-08-29T12:34:26.496120+00:00, sha 7a9e86ec5b6e)
- Data as of 2026-08-30T08:39:29.467469+00:00.