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Exposed soil and mineral map of the Australian continent revealing the land at its barest
by
Roberts, Dale
, Ghattas, Omar
, Wilford, John
in
639/705/531
/ 704/2151/213/4115
/ 704/2151/330
/ Archives & records
/ Biodiversity
/ Climate change
/ Datasets
/ Diagnostic systems
/ Digital mapping
/ Earth science
/ Environmental degradation
/ Food security
/ Geologic mapping
/ Geological mapping
/ Humanities and Social Sciences
/ Landsat
/ Landsat satellites
/ Learning algorithms
/ Machine learning
/ Mapping
/ Mineral exploration
/ Mineralogy
/ multidisciplinary
/ Radiation
/ Remote sensing
/ Science
/ Science (multidisciplinary)
/ Sensors
/ Soil mapping
/ Soils
/ Spectra
/ Spectral sensitivity
/ Statistical analysis
/ Substrates
/ Time series
/ Vegetation
/ Water scarcity
/ Wavelengths
2019
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Exposed soil and mineral map of the Australian continent revealing the land at its barest
by
Roberts, Dale
, Ghattas, Omar
, Wilford, John
in
639/705/531
/ 704/2151/213/4115
/ 704/2151/330
/ Archives & records
/ Biodiversity
/ Climate change
/ Datasets
/ Diagnostic systems
/ Digital mapping
/ Earth science
/ Environmental degradation
/ Food security
/ Geologic mapping
/ Geological mapping
/ Humanities and Social Sciences
/ Landsat
/ Landsat satellites
/ Learning algorithms
/ Machine learning
/ Mapping
/ Mineral exploration
/ Mineralogy
/ multidisciplinary
/ Radiation
/ Remote sensing
/ Science
/ Science (multidisciplinary)
/ Sensors
/ Soil mapping
/ Soils
/ Spectra
/ Spectral sensitivity
/ Statistical analysis
/ Substrates
/ Time series
/ Vegetation
/ Water scarcity
/ Wavelengths
2019
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Do you wish to request the book?
Exposed soil and mineral map of the Australian continent revealing the land at its barest
by
Roberts, Dale
, Ghattas, Omar
, Wilford, John
in
639/705/531
/ 704/2151/213/4115
/ 704/2151/330
/ Archives & records
/ Biodiversity
/ Climate change
/ Datasets
/ Diagnostic systems
/ Digital mapping
/ Earth science
/ Environmental degradation
/ Food security
/ Geologic mapping
/ Geological mapping
/ Humanities and Social Sciences
/ Landsat
/ Landsat satellites
/ Learning algorithms
/ Machine learning
/ Mapping
/ Mineral exploration
/ Mineralogy
/ multidisciplinary
/ Radiation
/ Remote sensing
/ Science
/ Science (multidisciplinary)
/ Sensors
/ Soil mapping
/ Soils
/ Spectra
/ Spectral sensitivity
/ Statistical analysis
/ Substrates
/ Time series
/ Vegetation
/ Water scarcity
/ Wavelengths
2019
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Exposed soil and mineral map of the Australian continent revealing the land at its barest
Journal Article
Exposed soil and mineral map of the Australian continent revealing the land at its barest
2019
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Overview
Multi-spectral remote sensing has already played an important role in mapping surface mineralogy. However, vegetation – even when relatively sparse – either covers the underlying substrate or modifies its spectral response, making it difficult to resolve diagnostic mineral spectral features. Here we take advantage of the petabyte-scale Landsat datasets covering the same areas for periods exceeding 30 years combined with a novel high-dimensional statistical technique to extract a noise-reduced, cloud-free, and robust estimate of the spectral response of the barest state (i.e. least vegetated) across the whole continent of Australia at 25 m
2
resolution. Importantly, our method preserves the spectral relationships between different wavelengths of the spectra. This means that our freely available continental-scale product can be combined with machine learning for enhanced geological mapping, mineral exploration, digital soil mapping, and establishing environmental baselines for understanding and responding to food security, climate change, environmental degradation, water scarcity, and threatened biodiversity.
In this study, the authors combine Landsat images spanning 30 years with a new statistical estimator to produce a soil and mineral spectra map of the Australian continent largely unobscured by vegetation or clouds.
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