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Exposed soil and mineral map of the Australian continent revealing the land at its barest

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...

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Detalles Bibliográficos
Autores principales: Roberts, Dale, Wilford, John, Ghattas, Omar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6874580/
https://www.ncbi.nlm.nih.gov/pubmed/31757967
http://dx.doi.org/10.1038/s41467-019-13276-1
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author Roberts, Dale
Wilford, John
Ghattas, Omar
author_facet Roberts, Dale
Wilford, John
Ghattas, Omar
author_sort Roberts, Dale
collection PubMed
description 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.
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spelling pubmed-68745802019-11-25 Exposed soil and mineral map of the Australian continent revealing the land at its barest Roberts, Dale Wilford, John Ghattas, Omar Nat Commun Article 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. Nature Publishing Group UK 2019-11-22 /pmc/articles/PMC6874580/ /pubmed/31757967 http://dx.doi.org/10.1038/s41467-019-13276-1 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Roberts, Dale
Wilford, John
Ghattas, Omar
Exposed soil and mineral map of the Australian continent revealing the land at its barest
title Exposed soil and mineral map of the Australian continent revealing the land at its barest
title_full Exposed soil and mineral map of the Australian continent revealing the land at its barest
title_fullStr Exposed soil and mineral map of the Australian continent revealing the land at its barest
title_full_unstemmed Exposed soil and mineral map of the Australian continent revealing the land at its barest
title_short Exposed soil and mineral map of the Australian continent revealing the land at its barest
title_sort exposed soil and mineral map of the australian continent revealing the land at its barest
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6874580/
https://www.ncbi.nlm.nih.gov/pubmed/31757967
http://dx.doi.org/10.1038/s41467-019-13276-1
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