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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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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. |
format | Online Article Text |
id | pubmed-6874580 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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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