rOPTRAM: Derive Soil Moisture Using the OPTRAM Algorithm

The OPtical TRapezoid Model (OPTRAM) derives soil moisture based on the linear relation between a vegetation index and Land Surface Temperature (LST). The Short Wave Infra-red (SWIR) band is used as a proxy for LST. See: Sadeghi, M. et al., 2017. https://doi.org/10.1016/j.rse.2017.05.041 .

See also

Useful links:

• https://github.com/ropensci/rOPTRAM.git

• Report bugs at https://github.com/ropensci/rOPTRAM/issues

Author

Maintainer: Micha Silver silverm@post.bgu.ac.il (ORCID)

Other contributors:

• Arnon Karnieli karnieli@bgu.ac.il (ORCID) [contributor, funder]

• Zhe Dong dongzhe053@gmail.com (ORCID) [contributor]

• Ron Beiden beiden@post.bgu.ac.il [contributor]

• Natalya Panov npanov@bgu.ac.il [contributor]

• Zhe Dong dongzhe053@gmail.com (ORCID) [contributor]

• Lauren O'Brien obrlsoilau@gmail.com [reviewer]

• Harry Eslick harry@wineandtruffle.com.au [reviewer]