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Chad A. Burton

Australian National University (ANU) - The Fenner School of Environment and Society

Bldg 48 Linnaeus Way

The Australian National University

Canberra, Australian Capital Territory 0200

Australia

  • Australian National University (ANU) - The Fenner School of Environment and Society

SCHOLARLY PAPERS

2

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120

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Scholarly Papers (2)

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1.

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 (882,961)

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Soil moisture, Spatial prediction, Upscaling, Landsat, Machine learning, Area of applicability

2.

Comprehensive Reassessment of Australia's Land-Surface Phenology Trends (1982-2022) Using Circular Statistics and a Harmonised NDVI Dataset

Number of pages: 37 Posted: 12 Feb 2025 Last Revised: 17 Aug 2025
Chad A. Burton, Sami. W. Rifai, Luigi J. Renzullo and Albert van Dijk
Australian National University (ANU) - The Fenner School of Environment and Society, University of Adelaide, Government of the Commonwealth of Australia - Bureau of Meteorology and The Australian National University
Downloads 51 (1,052,409)

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Land surface phenology, circular statistics, trends, NDVI, Australia, carbon cycle