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...

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Bibliographic Details
Published in:Scientific data 2020-05, Vol.7 (1), p.162-162, Article 162
Main Authors: Amatulli, Giuseppe, McInerney, Daniel, Sethi, Tushar, Strobl, Peter, Domisch, Sami
Format: Article
Language:English
Subjects:
704/2151/215
704/2151/241
Biogeography
Computer applications
Data Descriptor
Geology
Geomorphology
Humanities and Social Sciences
Hydrology
multidisciplinary
Science
Science (multidisciplinary)
Spatial discrimination
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Summary: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. Measurement(s) geomorphometric layer • geomorphometric feature • topography Technology Type(s) computational modeling technique Factor Type(s) elevation Sample Characteristic - Environment elevation Sample Characteristic - Location Europe • Asia • North America • South America • Africa • Oceania Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.12145791
ISSN:2052-4463
2052-4463
DOI:10.1038/s41597-020-0479-6