A suite of global, cross-scale topographic variables for environmental and biodiversity modeling, links to files in GeoTIFF format
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PANGAEA
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| Autori principali: | , , , , , , |
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| Natura: | Dataset Open Access |
| Lingua: | en |
| Pubblicazione: |
PANGAEA
2018
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| _version_ | 1867168568840290304 |
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| author | Amatulli, Giuseppe Domisch, Sami Tuanmu, Mao-Ning Parmentier, Benoit Ranipeta, Ajay Malczyk, Jeremy Jetz, Walter |
| author_facet | Amatulli, Giuseppe Domisch, Sami Tuanmu, Mao-Ning Parmentier, Benoit Ranipeta, Ajay Malczyk, Jeremy Jetz, Walter |
| collection | Datos científicos de ciencias marinas y ambientales |
| contents | Topographic variation underpins a myriad of patterns and processes in hydrology, climatology, geography and ecology and is key to understanding the variation of life on the planet. A fully standardized and global multivariate product of different terrain features has the potential to support many large-scale basic research and analytical applications, however to date, such datasets are unavailable. Here we used the digital elevation model products of global 250 m GMTED2010 and near-global 90m SRTM4.1dev to derive a suite of topographic variables: elevation, slope, aspect, eastness, northness, roughness, terrain roughness index, topographic position index, vector ruggedness measure, profile/tangential curvature, first/second order partial derivative, and 10 geomorphological landform classes. We aggregated each variable to 1, 5, 10, 50 and 100 km spatial grains using several aggregation approaches. While a cross-correlation underlines the high similarity of many variables, a more detailed view in four mountain regions reveals local differences, as well as scale variations in the aggregated variables at different spatial grains. |
| format | Dataset Open Access |
| id | pangaea_https___doi_org_10_1594_PANGAEA_867115 |
| institution | PANGAEA |
| language | en |
| publishDate | 2018 |
| publisher | PANGAEA |
| record_format | pangaea |
| spellingShingle | A suite of global, cross-scale topographic variables for environmental and biodiversity modeling, links to files in GeoTIFF format Amatulli, Giuseppe Domisch, Sami Tuanmu, Mao-Ning Parmentier, Benoit Ranipeta, Ajay Malczyk, Jeremy Jetz, Walter Topographic variation underpins a myriad of patterns and processes in hydrology, climatology, geography and ecology and is key to understanding the variation of life on the planet. A fully standardized and global multivariate product of different terrain features has the potential to support many large-scale basic research and analytical applications, however to date, such datasets are unavailable. Here we used the digital elevation model products of global 250 m GMTED2010 and near-global 90m SRTM4.1dev to derive a suite of topographic variables: elevation, slope, aspect, eastness, northness, roughness, terrain roughness index, topographic position index, vector ruggedness measure, profile/tangential curvature, first/second order partial derivative, and 10 geomorphological landform classes. We aggregated each variable to 1, 5, 10, 50 and 100 km spatial grains using several aggregation approaches. While a cross-correlation underlines the high similarity of many variables, a more detailed view in four mountain regions reveals local differences, as well as scale variations in the aggregated variables at different spatial grains. |
| title | A suite of global, cross-scale topographic variables for environmental and biodiversity modeling, links to files in GeoTIFF format |
| topic | |
| url | https://doi.org/10.1594/PANGAEA.867115 |