Browse by Fields of Research (ANZSRC 2020)

Ahmed, A. A. Masrur and Deo, Ravinesh C. ORCID: https://orcid.org/0000-0002-2290-6749 and Raj, Nawin ORCID: https://orcid.org/0000-0002-8364-2644 and Ghahramani, Afshin ORCID: https://orcid.org/0000-0002-9648-4606 and Feng, Qi and Yin, Zhenliang and Yang, Linshan (2021) Deep Learning Forecasts of Soil Moisture: Convolutional Neural Network and Gated Recurrent Unit Models Coupled with Satellite-Derived MODIS, Observations and Synoptic-Scale Climate Index Data. Remote Sensing, 13 (4):554. pp. 1-30.

Kidd, Darren and Searle, Ross and Grundy, Mike and McBratney, Alex and Robinson, Nathan and O'Brien, Lauren and Zund, Peter and Arrouays, Dominique and Thomas, Mark and Padarian, Jose and Jones, Edward and Bennett, John McLean and Minasny, Budiman and Holmes, Karen and Malone, Brendan P. and Liddicoat, Craig and Meier, Elizabeth A. and Stockmann, Uta and Wilson, Peter and Wilford, John and Payne, Jim and Ringrose-Voase, Anthony and Slater, Brian and Odgers, Nathan and Gray, Jonathan and van Gool, Dennis and Andrews, Kaitlyn and Harms, Ben and Stower, Liz and Triantafilis, John (2020) Operationalising digital soil mapping – Lessons from Australia. Geoderma Regional, 23:e00335. pp. 1-21.

Lai, Y. R. ORCID: https://orcid.org/0000-0002-7135-7520 and Orton, T. G. and Pringle, M. J. and Menzies, N. W. and Dang, Y. P. (2020) Increment-averaged kriging: a comparison with depth-harmonized mapping of soil exchangeable sodium percentage in a cropping region of eastern Australia. Geoderma, 363:114151. ISSN 0016-7061