Geomorpho90m - Global high-resolution geomorphometry layers, supplement to: Amatulli, Giuseppe; McInerney, Daniel; Sethi, Tushar; Strobl, Peter; Domisch, Sami (in press): Geomorpho90m - Global high-resolution geomorphometry layers: empirical evaluation and accuracy assessment. PeerJ, 7, e27595v1
Topographical relief is composed of the vertical and horizontal variations of the Earth's terrain and drives processes in geography, climatology, hydrology, and ecology. Its assessment and characterisation is fundamental for various types of modelling and simulation analyses. In this regard, th...
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ftdatacite:10.1594/pangaea.899135 2023-05-15T18:13:14+02:00 Geomorpho90m - Global high-resolution geomorphometry layers, supplement to: Amatulli, Giuseppe; McInerney, Daniel; Sethi, Tushar; Strobl, Peter; Domisch, Sami (in press): Geomorpho90m - Global high-resolution geomorphometry layers: empirical evaluation and accuracy assessment. PeerJ, 7, e27595v1 Amatulli, Giuseppe 2019 text/tab-separated-values https://dx.doi.org/10.1594/pangaea.899135 https://doi.pangaea.de/10.1594/PANGAEA.899135 en eng PANGAEA - Data Publisher for Earth & Environmental Science https://dx.doi.org/10.7287/peerj.preprints.27595v1 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 CC-BY DEM geomorphometry hydrology topography File name File format File size Uniform resource locator/link to file Dataset dataset Supplementary Dataset 2019 ftdatacite https://doi.org/10.1594/pangaea.899135 https://doi.org/10.7287/peerj.preprints.27595v1 2022-02-09T13:37:35Z Topographical relief is composed of the vertical and horizontal variations of the Earth's terrain and drives processes in geography, climatology, hydrology, and ecology. Its assessment and characterisation is fundamental for various types of modelling and simulation analyses. In this regard, the Multi-Error-Removed Improved Terrain (MERIT) Digital Elevation Model (DEM) is the best global, high-resolution DEM currently available at a 3 arc-seconds (90 m) resolution. This is an improved product as multiple error components have been corrected from the underlying Shuttle Radar Topography Mission (SRTM3) and ALOS World 3D - 30 m (AW3D30) DEMs. To depict topographical variations worldwide, we developed the Geomorpho90m dataset comprising of different geomorphometry features derived from the MERIT-DEM. The fully standardised geomorphometry variables consist of layers that describe (i) the rate of change using the first and second order derivatives, (ii) the ruggedness, and (iii) the geomorphology landform. To assess how remaining artifacts in the MERIT-DEM could affect the derived topographic variables, we compared our results with the same variables generated using the 3D Elevation Program (3DEP) DEM, which is the highest quality DEM for the United States of America. We compared the two data sources by calculating the first order derivative (i.e., the rate of change through space measured in degrees) of the difference between a MERIT-derived vs. a 3DEP-derived topographic variable. All newly-created topographic variables are readily available at resolutions of 3 and 7.5 arc-seconds under the WGS84 geographic system, and at a spatial resolution of 100 m under the Equi7 projection. The newly-developed Geomorpho90m dataset provides a globally standardised dataset for environmental models and analyses in the field of geography, geology, hydrology, ecology and biogeography. Dataset sami DataCite Metadata Store (German National Library of Science and Technology) |
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Open Polar |
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DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
DEM geomorphometry hydrology topography File name File format File size Uniform resource locator/link to file |
spellingShingle |
DEM geomorphometry hydrology topography File name File format File size Uniform resource locator/link to file Amatulli, Giuseppe Geomorpho90m - Global high-resolution geomorphometry layers, supplement to: Amatulli, Giuseppe; McInerney, Daniel; Sethi, Tushar; Strobl, Peter; Domisch, Sami (in press): Geomorpho90m - Global high-resolution geomorphometry layers: empirical evaluation and accuracy assessment. PeerJ, 7, e27595v1 |
topic_facet |
DEM geomorphometry hydrology topography File name File format File size Uniform resource locator/link to file |
description |
Topographical relief is composed of the vertical and horizontal variations of the Earth's terrain and drives processes in geography, climatology, hydrology, and ecology. Its assessment and characterisation is fundamental for various types of modelling and simulation analyses. In this regard, the Multi-Error-Removed Improved Terrain (MERIT) Digital Elevation Model (DEM) is the best global, high-resolution DEM currently available at a 3 arc-seconds (90 m) resolution. This is an improved product as multiple error components have been corrected from the underlying Shuttle Radar Topography Mission (SRTM3) and ALOS World 3D - 30 m (AW3D30) DEMs. To depict topographical variations worldwide, we developed the Geomorpho90m dataset comprising of different geomorphometry features derived from the MERIT-DEM. The fully standardised geomorphometry variables consist of layers that describe (i) the rate of change using the first and second order derivatives, (ii) the ruggedness, and (iii) the geomorphology landform. To assess how remaining artifacts in the MERIT-DEM could affect the derived topographic variables, we compared our results with the same variables generated using the 3D Elevation Program (3DEP) DEM, which is the highest quality DEM for the United States of America. We compared the two data sources by calculating the first order derivative (i.e., the rate of change through space measured in degrees) of the difference between a MERIT-derived vs. a 3DEP-derived topographic variable. All newly-created topographic variables are readily available at resolutions of 3 and 7.5 arc-seconds under the WGS84 geographic system, and at a spatial resolution of 100 m under the Equi7 projection. The newly-developed Geomorpho90m dataset provides a globally standardised dataset for environmental models and analyses in the field of geography, geology, hydrology, ecology and biogeography. |
format |
Dataset |
author |
Amatulli, Giuseppe |
author_facet |
Amatulli, Giuseppe |
author_sort |
Amatulli, Giuseppe |
title |
Geomorpho90m - Global high-resolution geomorphometry layers, supplement to: Amatulli, Giuseppe; McInerney, Daniel; Sethi, Tushar; Strobl, Peter; Domisch, Sami (in press): Geomorpho90m - Global high-resolution geomorphometry layers: empirical evaluation and accuracy assessment. PeerJ, 7, e27595v1 |
title_short |
Geomorpho90m - Global high-resolution geomorphometry layers, supplement to: Amatulli, Giuseppe; McInerney, Daniel; Sethi, Tushar; Strobl, Peter; Domisch, Sami (in press): Geomorpho90m - Global high-resolution geomorphometry layers: empirical evaluation and accuracy assessment. PeerJ, 7, e27595v1 |
title_full |
Geomorpho90m - Global high-resolution geomorphometry layers, supplement to: Amatulli, Giuseppe; McInerney, Daniel; Sethi, Tushar; Strobl, Peter; Domisch, Sami (in press): Geomorpho90m - Global high-resolution geomorphometry layers: empirical evaluation and accuracy assessment. PeerJ, 7, e27595v1 |
title_fullStr |
Geomorpho90m - Global high-resolution geomorphometry layers, supplement to: Amatulli, Giuseppe; McInerney, Daniel; Sethi, Tushar; Strobl, Peter; Domisch, Sami (in press): Geomorpho90m - Global high-resolution geomorphometry layers: empirical evaluation and accuracy assessment. PeerJ, 7, e27595v1 |
title_full_unstemmed |
Geomorpho90m - Global high-resolution geomorphometry layers, supplement to: Amatulli, Giuseppe; McInerney, Daniel; Sethi, Tushar; Strobl, Peter; Domisch, Sami (in press): Geomorpho90m - Global high-resolution geomorphometry layers: empirical evaluation and accuracy assessment. PeerJ, 7, e27595v1 |
title_sort |
geomorpho90m - global high-resolution geomorphometry layers, supplement to: amatulli, giuseppe; mcinerney, daniel; sethi, tushar; strobl, peter; domisch, sami (in press): geomorpho90m - global high-resolution geomorphometry layers: empirical evaluation and accuracy assessment. peerj, 7, e27595v1 |
publisher |
PANGAEA - Data Publisher for Earth & Environmental Science |
publishDate |
2019 |
url |
https://dx.doi.org/10.1594/pangaea.899135 https://doi.pangaea.de/10.1594/PANGAEA.899135 |
genre |
sami |
genre_facet |
sami |
op_relation |
https://dx.doi.org/10.7287/peerj.preprints.27595v1 |
op_rights |
Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.1594/pangaea.899135 https://doi.org/10.7287/peerj.preprints.27595v1 |
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1766185736962310144 |