# Generated by scripts/sync_indices.py from Awesome Spectral Indices (MIT).
# DO NOT EDIT BY HAND. Edit overlays (_asi_*.yaml, _folia_*.yaml) and re-run.
# Spec: docs/spec/SPECTRAL_INDICES.md
slug: cire
name: Chlorophyll Index Red Edge
short_name: CIRE
formula: (N / RE1) - 1
bands:
- N
- RE1
domain: vegetation
theme: vegetation
concepts:
- leaf-area-index
rank: 23
display:
  colormap: rdylgn
  range:
  - 0.0
  - 10.0
pedagogy:
  description: 'Chlorophyll Index Red Edge (Gitelson 2003). The red-edge analogue of

    CIG, using NIR over red-edge band 1 minus one. Pairs with NDREI as

    the leaf-chlorophyll workhorse on Sentinel-2 and other red-edge-equipped

    sensors.

    '
  use_cases:
  - Sentinel-2 leaf-chlorophyll estimation in operational precision-agriculture
  - Forest canopy chlorophyll mapping where red-edge bands are available
  - Stress detection complementary to NDREI in red-edge index suites
  limitations:
  - Requires a red-edge band ~705 nm — not computable on Landsat or MODIS
  - Saturates at very high chlorophyll, though later than CIG
  - Sensitive to canopy structure — interpret jointly with a structural index for unconfounded chlorophyll
  interpretation:
    high: High canopy chlorophyll content
    mid: Typical canopy
    low: Low chlorophyll, stressed canopy
  authoritative_sources:
  - label: Gitelson 2003
    url: https://doi.org/10.1078/0176-1617-00887
  - label: NV5 ENVI — Narrowband Greenness
    url: https://www.nv5geospatialsoftware.com/docs/NarrowbandGreenness.html
  - label: Index Database · CIRE
    url: https://www.indexdatabase.de/db/i-single.php?id=131
references:
- url: https://doi.org/10.1078/0176-1617-00887
date_of_addition: '2021-05-13'
contributor: https://github.com/davemlz
platforms:
- Sentinel-2
source:
  authority: awesome-spectral-indices
  commit_sha: 7f28d3fe68af1287f7449faf0685659e73197212
  upstream_id: CIRE
match_tags:
- chlorophyll
- edge
- index
- n
- re1
- red
- vegetation
status: stable