rOPTRAM: Deriving Soil Moisture from Satellite Imagery in R

R JavaScript Submitted 13 June 2024Published 22 August 2024
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Editor: @kthyng (all papers)
Reviewers: @kthyng (all reviews)

Authors

Micha Silver (0000-0002-1128-1325), Ron Beiden, Zhe Dong (0009-0007-5298-8355), Natalya Panov, Arnon Karnieli (0000-0001-8065-9793)

Citation

Silver et al., (2024). rOPTRAM: Deriving Soil Moisture from Satellite Imagery in R. Journal of Open Source Software, 9(100), 7086, https://doi.org/10.21105/joss.07086

@article{Silver2024, doi = {10.21105/joss.07086}, url = {https://doi.org/10.21105/joss.07086}, year = {2024}, publisher = {The Open Journal}, volume = {9}, number = {100}, pages = {7086}, author = {Micha Silver and Ron Beiden and Zhe Dong and Natalya Panov and Arnon Karnieli}, title = {rOPTRAM: Deriving Soil Moisture from Satellite Imagery in R}, journal = {Journal of Open Source Software} }
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soil moisture remote sensing Sentinel-2 grasslands

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ISSN 2475-9066