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Geomorpho90m, empirical evaluation and accuracy assessment of global high-resolution geomorphometric layers.
Amatulli, Giuseppe; McInerney, Daniel; Sethi, Tushar; Strobl, Peter; Domisch, Sami.
Afiliação
  • Amatulli G; Yale University, School of Forestry & Environmental Studies, New Haven, CT, 06511, USA. giuseppe.amatulli@gmail.com.
  • McInerney D; Yale University, Centre for Research Computing, New Haven, CT, 06511, USA. giuseppe.amatulli@gmail.com.
  • Sethi T; Coillte Teoranta, Irish State Forestry Board, Plassey Road, Castletroy, Limerick, V94-C780, Ireland.
  • Strobl P; Spatial Ecology, 35A, Hazlemere Road, Penn, Buckinghamshire, HP10 8AD, United Kingdom.
  • Domisch S; European Commission, Joint Research Centre, Directorate for Sustainable Resources, Ispra, VA-21027, Italy.
Sci Data ; 7(1): 162, 2020 05 28.
Article em En | MEDLINE | ID: mdl-32467582
ABSTRACT
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.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article