STI4RE4-band Red Edge Soil Tillage Index

VegetationMultispectralCitation Rank #291

Summary

The 4-band Red Edge Soil Tillage Index (STI4RE) 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 10.41th percentile overall, ranking 291 out of 317 indices with citation data. Among the 53 indices published within two years of 2022, it ranks 42 (33.96th percentile). Within the vegetation application domain, it is in the 9.86th percentile and ranks 198 out of 213 indices with citation data. Among the 33 similarly aged vegetation indices, it ranks 25 (42.42th percentile).

Other indices from the same source

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

NDVI4RE SAVI4RE RVI4RE NDTI4RE SNDTI4RE

Formula

gamma * S1/S2 + (1 - gamma) * 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 NDTI4RE SNDTI4RE

Contribution Details

Contributor@davemlz

Date contributed2025-09-30