NDTI4RE4-band Red Edge Normalized Difference Tillage Index

VegetationMultispectralCitation Rank #283

Summary

The 4-band Red Edge Normalized Difference Tillage Index (NDTI4RE) is a vegetation spectral index intended for multispectral sensing. It was introduced in 2022; its source is cited as Jiali Liu, Jianrong Fan, Chao Yang, Fubao Xu, & Xiyu Zhang (2022). Novel vegetation indices for estimating photosynthetic and non-photosynthetic fractional vegetation cover from Sentinel data. International Journal of Applied Earth Observation and Geoinformation, 109. https://doi.org/10.1016/j.jag.2022.102793 .

Based on the latest citation data, this index is in the 10.22th percentile overall, ranking 283 out of 313 indices with citation data. Among the 50 indices published within two years of 2022, it ranks 34 (36th percentile). Within the vegetation application domain, it is in the 9.95th percentile and ranks 191 out of 211 indices with citation data. Among the 31 similarly aged vegetation indices, it ranks 18 (45.16th percentile).

Other indices from the same source

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

NDVI4RE SAVI4RE RVI4RE SNDTI4RE STI4RE

Formula

gamma * (S1 - S2)/(S1 + S2) + (1 - gamma) * (N - RE3)/(N + RE3)

Bands

S1

Short-wave Infrared (SWIR) 1.

S2

Short-wave Infrared (SWIR) 2.

N

Near-Infrared (NIR).

RE3

Red Edge 3.

Polarizations

No radar polarizations are used in this index.

Constants

gamma

Weighting coefficient for the ratio SWIR1/SWIR2 (Sentinel-2).

Default value0.4

Suggested range0–1

Suggested values

April: 0.4
November: 0.5

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_NDTI4RE,
  author = {Jiali Liu and Jianrong Fan and Chao Yang and Fubao Xu and Xiyu Zhang},
  title = {Novel vegetation indices for estimating photosynthetic and non-photosynthetic fractional vegetation cover from Sentinel data},
  journal = {International Journal of Applied Earth Observation and Geoinformation},
  volume = {109},
  year = {2022},
  doi = {10.1016/j.jag.2022.102793},
  url = {https://doi.org/10.1016/j.jag.2022.102793}
}

text

Jiali Liu, Jianrong Fan, Chao Yang, Fubao Xu, & Xiyu Zhang (2022). Novel vegetation indices for estimating photosynthetic and non-photosynthetic fractional vegetation cover from Sentinel data. International Journal of Applied Earth Observation and Geoinformation, 109. https://doi.org/10.1016/j.jag.2022.102793

Indices from the same source

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

NDVI4RE SAVI4RE RVI4RE SNDTI4RE STI4RE

Contribution Details

Contributor@davemlz

Date contributed2025-09-30