LSWILand Surface Water Index

WaterMultispectralCitation Rank #64

Summary

The Land Surface Water Index (LSWI) is a water spectral index intended for multispectral sensing. It was introduced in 2004; its source is cited as Xiangming Xiao, David Hollinger, John Aber, Mike Goltz, Eric A. Davidson, Qingyuan Zhang, & Berrien Moore (2004). Satellite-based modeling of gross primary production in an evergreen needleleaf forest. Remote Sensing of Environment, 89(4). https://doi.org/10.1016/j.rse.2003.11.008 .

Based on the latest citation data, this index is in the 79.87th percentile overall, ranking 64 out of 313 indices with citation data. Among the 51 indices published within two years of 2004, it ranks 21 (60.78th percentile). Within the water application domain, it is in the 83.87th percentile and ranks 6 out of 31 indices with citation data. Among the 2 similarly aged water indices, it ranks 2 (50th percentile).

Formula

(N - S1)/(N + S1)

Bands

N

Near-Infrared (NIR).

S1

Short-wave Infrared (SWIR) 1.

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_LSWI,
  author = {Xiangming Xiao and David Hollinger and John Aber and Mike Goltz and Eric A. Davidson and Qingyuan Zhang and Berrien Moore},
  title = {Satellite-based modeling of gross primary production in an evergreen needleleaf forest},
  journal = {Remote Sensing of Environment},
  volume = {89},
  number = {4},
  year = {2004},
  doi = {10.1016/j.rse.2003.11.008},
  url = {https://doi.org/10.1016/j.rse.2003.11.008}
}

text

Xiangming Xiao, David Hollinger, John Aber, Mike Goltz, Eric A. Davidson, Qingyuan Zhang, & Berrien Moore (2004). Satellite-based modeling of gross primary production in an evergreen needleleaf forest. Remote Sensing of Environment, 89(4). https://doi.org/10.1016/j.rse.2003.11.008

Contribution Details

Contributor@davemlz

Date contributed2022-04-20