MCARI1Modified Chlorophyll Absorption in Reflectance Index 1

VegetationMultispectralCitation Rank #20

Summary

The Modified Chlorophyll Absorption in Reflectance Index 1 (MCARI1) is a vegetation spectral index intended for multispectral sensing. It was introduced in 2004; its source is cited as D Haboudane (2004). Hyperspectral vegetation indices and novel algorithms for predicting green LAI of crop canopies: Modeling and validation in the context of precision agriculture. Remote Sensing of Environment, 90(3). https://doi.org/10.1016/j.rse.2003.12.013 .

Based on the latest citation data, this index is in the 93.93th percentile overall, ranking 20 out of 313 indices with citation data. Among the 51 indices published within two years of 2004, it ranks 9 (84.31th percentile). Within the vegetation application domain, it is in the 92.42th percentile and ranks 17 out of 211 indices with citation data. Among the 39 similarly aged vegetation indices, it ranks 7 (84.62th percentile).

Other indices from the same source

These catalogue entries share this index's scientific source and citation.

MTVI1 MCARI2 MTVI2

Formula

1.2 * (2.5 * (N - R) - 1.3 * (N - G))

Bands

N

Near-Infrared (NIR).

R

Red.

G

Green.

Polarizations

No radar polarizations are used in this index.

Constants

No constants are used in this index.

Reductions

No contextual reductions are used in this index.

Cite this Index

Use either format below to cite the scientific source associated with this index.

BibTeXAPA

bibtex

@article{ASI_MCARI1,
  author = {D Haboudane},
  title = {Hyperspectral vegetation indices and novel algorithms for predicting green LAI of crop canopies: Modeling and validation in the context of precision agriculture},
  journal = {Remote Sensing of Environment},
  volume = {90},
  number = {3},
  year = {2004},
  doi = {10.1016/j.rse.2003.12.013},
  url = {https://doi.org/10.1016/j.rse.2003.12.013}
}

text

D Haboudane (2004). Hyperspectral vegetation indices and novel algorithms for predicting green LAI of crop canopies: Modeling and validation in the context of precision agriculture. Remote Sensing of Environment, 90(3). https://doi.org/10.1016/j.rse.2003.12.013

Indices from the same source

These catalogue entries share this index's scientific source and citation.

MTVI1 MCARI2 MTVI2

Contribution Details

Contributor@davemlz

Date contributed2021-05-14