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LSTM integrated with Boruta-random forest optimiser for soil moisture estimation under RCP4.5 and RCP8.5 global warming scenarios

Crossref DOI link: https://doi.org/10.1007/s00477-021-01969-3

Published Online: 2021-01-12

Published Print: 2021-09

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Ahmed, A. A. Masrur https://orcid.org/0000-0002-7941-3902
Deo, Ravinesh C. https://orcid.org/0000-0002-2290-6749
Ghahramani, Afshin https://orcid.org/0000-0002-9648-4606
Raj, Nawin https://orcid.org/0000-0002-8364-2644
Feng, Qi https://orcid.org/0000-0002-5469-1738
Yin, Zhenliang https://orcid.org/0000-0001-9050-6328
Yang, Linshan https://orcid.org/0000-0002-6862-4106
Funding

Funding for this research was provided by:

University of Southern Queensland (USQ/CAS 2019-2021)

University of Southern Queensland (USQ Postgraduate Research Scholarship)
License Information

Text and Data Mining valid from 2021-01-12

Version of Record valid from 2021-01-12
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Article History

Accepted: 2 January 2021

First Online: 12 January 2021