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topovar90m

Geomorpho90m - Global high-resolution geomorphometry layers: empirical evaluation and accuracy assessment

(Submit to Scientific Data)

“Giuseppe Amatulli (1), Daniel Mc-Inerney (2), Tushar Sethi (3), Peter Strobl (4), Sami Domisch(5)“

(1) Yale University, School of Forestry & Environmental Studies - Center for Research Computing, New Haven, USA;
(2) Coillte, Irish State Forestry Board, Plassey Road, Castletroy, Limerick, Ireland.
(3) Spatial-Ecology, Meaderville House, Wheal Buller, Redruth, Cornwall, TR16 6ST, UK;
(4) European Commission, Joint Research Centre, Directorate for Sustainable Resources, Ispra, Italy;
(5) Leibniz-Institute of Freshwater Ecology and Inland Fisheries, Berlin, Germany;

Download Procedure

Geomorpho90m is a set of geomorphometric variables derived from MERIT-DEM. The are available at 3 resolutions:

  • 100 m resolution, under Equi7 projection.
  • 3 arc-second (~90m) resolution, under WGS84 Geographic Coordinate System.
  • 7.5 arc-second (~250m) resolution, under WGS84 Geographic Coordinate System.

The layers can be downloaded from https://drive.google.com/drive/folders/1D4YHUycBBhNFVVsz4ohaJI7QXV9BEh94. The download can be done by clicking procedure or by command line scripting routine. The last one can be achieved by https://rclone.org by following the Google Drive procedure authentification at https://rclone.org/drive/. You will need to authenticate reclone with your Google Drive account and then share the geomorphometry_v.1.0 folder with your own Google Drive. Afterwards, you will be able to mount your Google Drive and access directly to the geomorphometry_v.1.0 archive. Each layer folder contains 60-80Gbyte, so you will need a fast connection to download the full archive.

Tiling System under WGS84 Geographic Coordinate System

The Tiling System under WGS84 follows the same nomenclature and tile extent of the MERIT-DEM. Detail information can be found in http://hydro.iis.u-tokyo.ac.jp/~yamadai/MERIT_DEM/ (see Data Description). MERIT-DEM Tiling System (source Day Yamazaki)

Elevation

Slope and aspect

Roughness

Curvature

Compound index

topovar90m.txt · Last modified: 2019/03/19 14:58 by new_ost4sem_admin