Author Page for Brendan P. Malone

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Spatial soil moisture prediction from in-situ data upscaled to Landsat footprint: Assessing area of applicability of machine learning models

IEEE Transactions on Geoscience and Remote Sensing [10.1109/TGRS.2025.3565818]

Number of pages: 20 Posted: 21 Jun 2024 Last Revised: 01 May 2025

Yi Yu, Brendan P. Malone, Luigi J. Renzullo, Chad A. Burton, Siyuan Tian, Ross D. Searle, Thomas Francis Aloysious Bishop and Jeffrey P. Walker

The University of Sydney, CSIRO, Government of the Commonwealth of Australia - Bureau of Meteorology, Australian National University (ANU) - The Fenner School of Environment and Society, affiliation not provided to SSRN, CSIRO, The University of Sydney and Monash University

Downloads 69 (883,195)

Abstract:

Update and Expansion of the Soil and Landscape Grid of Australia

Number of pages: 42 Posted: 15 Oct 2024

Brendan P. Malone, Ross D. Searle, Matthew Stenson, David McJannet, Peter Zund, Mercedes Román Dobarco, Alexandre M.J-C. Wadoux, Budiman Minasny, Alexander McBratney and Mike Grundy

CSIRO, CSIRO, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, UMR LISAH, The University of Sydney, The University of Sydney and affiliation not provided to SSRN

Downloads 28 (1,345,526)

Brendan P. Malone

CSIRO

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Scholarly Papers (2)

Spatial soil moisture prediction from in-situ data upscaled to Landsat footprint: Assessing area of applicability of machine learning models

Abstract:

Update and Expansion of the Soil and Landscape Grid of Australia

Abstract: