Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Amatulli, Giuseppe, McInerney, Daniel, Sethi, Tushar, Strobl, Peter, Domisch, Sami
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
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
_version_ 1783539835327217664
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
work_keys_str_mv AT amatulligiuseppe geomorpho90mempiricalevaluationandaccuracyassessmentofglobalhighresolutiongeomorphometriclayers
AT mcinerneydaniel geomorpho90mempiricalevaluationandaccuracyassessmentofglobalhighresolutiongeomorphometriclayers
AT sethitushar geomorpho90mempiricalevaluationandaccuracyassessmentofglobalhighresolutiongeomorphometriclayers
AT stroblpeter geomorpho90mempiricalevaluationandaccuracyassessmentofglobalhighresolutiongeomorphometriclayers
AT domischsami geomorpho90mempiricalevaluationandaccuracyassessmentofglobalhighresolutiongeomorphometriclayers