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Geomorpho90m, empirical evaluation and accuracy assessment of global high-resolution geomorphometric layers
Topographical relief comprises the vertical and horizontal variations of the Earth’s terrain and drives processes in geomorphology, biogeography, climatology, hydrology and ecology. Its characterisation and assessment, through geomorphometry and feature extraction, is fundamental to numerous environ...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7256046/ https://www.ncbi.nlm.nih.gov/pubmed/32467582 http://dx.doi.org/10.1038/s41597-020-0479-6 |
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author | Amatulli, Giuseppe McInerney, Daniel Sethi, Tushar Strobl, Peter Domisch, Sami |
author_facet | Amatulli, Giuseppe McInerney, Daniel Sethi, Tushar Strobl, Peter Domisch, Sami |
author_sort | Amatulli, Giuseppe |
collection | PubMed |
description | Topographical relief comprises the vertical and horizontal variations of the Earth’s terrain and drives processes in geomorphology, biogeography, climatology, hydrology and ecology. Its characterisation and assessment, through geomorphometry and feature extraction, is fundamental to numerous environmental modelling and simulation analyses. We, therefore, developed the Geomorpho90m global dataset comprising of different geomorphometric features derived from the MERIT-Digital Elevation Model (DEM) - the best global, high-resolution DEM available. The fully-standardised 26 geomorphometric variables consist of layers that describe the (i) rate of change across the elevation gradient, using first and second derivatives, (ii) ruggedness, and (iii) geomorphological forms. The Geomorpho90m variables are available at 3 (~90 m) and 7.5 arc-second (~250 m) resolutions under the WGS84 geodetic datum, and 100 m spatial resolution under the Equi7 projection. They are useful for modelling applications in fields such as geomorphology, geology, hydrology, ecology and biogeography. |
format | Online Article Text |
id | pubmed-7256046 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-72560462020-06-10 Geomorpho90m, empirical evaluation and accuracy assessment of global high-resolution geomorphometric layers Amatulli, Giuseppe McInerney, Daniel Sethi, Tushar Strobl, Peter Domisch, Sami Sci Data Data Descriptor Topographical relief comprises the vertical and horizontal variations of the Earth’s terrain and drives processes in geomorphology, biogeography, climatology, hydrology and ecology. Its characterisation and assessment, through geomorphometry and feature extraction, is fundamental to numerous environmental modelling and simulation analyses. We, therefore, developed the Geomorpho90m global dataset comprising of different geomorphometric features derived from the MERIT-Digital Elevation Model (DEM) - the best global, high-resolution DEM available. The fully-standardised 26 geomorphometric variables consist of layers that describe the (i) rate of change across the elevation gradient, using first and second derivatives, (ii) ruggedness, and (iii) geomorphological forms. The Geomorpho90m variables are available at 3 (~90 m) and 7.5 arc-second (~250 m) resolutions under the WGS84 geodetic datum, and 100 m spatial resolution under the Equi7 projection. They are useful for modelling applications in fields such as geomorphology, geology, hydrology, ecology and biogeography. Nature Publishing Group UK 2020-05-28 /pmc/articles/PMC7256046/ /pubmed/32467582 http://dx.doi.org/10.1038/s41597-020-0479-6 Text en © The Author(s) 2020 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/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article. |
spellingShingle | Data Descriptor Amatulli, Giuseppe McInerney, Daniel Sethi, Tushar Strobl, Peter Domisch, Sami Geomorpho90m, empirical evaluation and accuracy assessment of global high-resolution geomorphometric layers |
title | Geomorpho90m, empirical evaluation and accuracy assessment of global high-resolution geomorphometric layers |
title_full | Geomorpho90m, empirical evaluation and accuracy assessment of global high-resolution geomorphometric layers |
title_fullStr | Geomorpho90m, empirical evaluation and accuracy assessment of global high-resolution geomorphometric layers |
title_full_unstemmed | Geomorpho90m, empirical evaluation and accuracy assessment of global high-resolution geomorphometric layers |
title_short | Geomorpho90m, empirical evaluation and accuracy assessment of global high-resolution geomorphometric layers |
title_sort | geomorpho90m, empirical evaluation and accuracy assessment of global high-resolution geomorphometric layers |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7256046/ https://www.ncbi.nlm.nih.gov/pubmed/32467582 http://dx.doi.org/10.1038/s41597-020-0479-6 |
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