User Tools

Site Tools


topovar90m

Differences

This shows you the differences between two versions of the page.

Link to this comparison view

topovar90m [2019/04/05 15:04] (current)
Line 1: Line 1:
 +===== Geomorpho90m - Global high-resolution geomorphometry layers: empirical evaluation and accuracy assessment =====
 +Submit to Scientific Data\\
 +In preprint at [[https://​peerj.com/​preprints/​27595]]\\
 +\\
 +"​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 [[http://​hydro.iis.u-tokyo.ac.jp/​~yamadai/​MERIT_DEM/​ | 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]]. This repository contains:\\
 +\\
 +  * **gemgeomorphometry\_90m\_wgs84** contains 26 subfolders labelled in accordance to the geomorphometry layer name (see table 1 in publication). Each subfolder contains 57 tar. In each tar there are from 1 to 37 tif. Each tif (90m resolution; extend 5x5 degree) contain one band. The full size for one geomorphometry variable is 4-80G for a total of 1148 tiles. The data type for the tif is Float32, which ensure maximum precision.
 +  * **gemgeomorphometry\_pangaea250m\_wgs84** contains 26 tif (250m resolution; extend full globe). These files are prepared for global analysis and/or to be ingested in web-GIS platform. The file size for each tif can is 100M-6G. The data type for this file is Int16 or UInt16 and the pixel value has been multiplied by a scaling factor reported in the geotif as metadata. It is possible to obtain the scaling factor using //​gdalinofo//​. To obatain the orginal value multiply the tif by the scaling factor. Nonetheless,​ for maximum precision use 90m or 100m resolutions that are stored as data type Float32. ​
 +  * **gemgeomorphometry\_100m\_equi7** contains 26 subfolders labelled in accordance to the geomorphometry layer name (see table 1 in publication). The full size for one geomorphometry variable is 5-53G for a total of 863 tif tiles. The data type for the tif is Float32, which ensure maximum precision.
 +\\
 +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. 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_tile.jpg?​800|}}
 +MERIT-DEM Tiling System (source Day Yamazaki)
 +\\
 +
 +=== Elevation ===
 +
 +[[ http://​hydro.iis.u-tokyo.ac.jp/​~yamadai/​MERIT_DEM/​ | MERIT-DEM ]] 
 +
 +{{ :​altitude_10kmmedian_merit.png |}}
 +
 +==== Slope and aspect ====
 +
 +{{ :​slope_10kmmedian_merit.png |}}
 +{{ :​aspect_10kmmedian_merit.png |}}
 +{{ :​aspectcosine_10kmmedian_merit.png |}}
 +{{ :​aspectsine_10kmmedian_merit.png |}}
 +{{ :​eastness_10kmmedian_merit.png |}}
 +{{ :​northness_10kmmedian_merit.png |}}
 +
 +==== Roughness ====
 +
 +{{ :​roughness_10kmmedian_merit.png |}}
 +{{ :​tri_10kmmedian_merit.png |}}
 +{{ :​vrm_10kmmedian_merit.png |}}
 +{{ :​tpi_10kmmedian_merit.png |}}
 +
 +==== Curvature ====
 +{{ :​dx_10kmmedian_merit.png |}}
 +{{ :​dxx_10kmmedian_merit.png |}}
 +{{ :​dy_10kmmedian_merit.png |}}
 +{{ :​dyy_10kmmedian_merit.png |}}
 +{{ :​dxy_10kmmedian_merit.png |}}
 +{{ :​pcurv_10kmmedian_merit.png |}}
 +{{ :​tcurv_10kmmedian_merit.png |}}
 +
 +==== Compound index ====
 +
 +{{ :​spi_10kmmedian_merit.png |}}
 +{{ :​tci_10kmmedian_merit.png |}}
 +
 +
 +
 +
  
topovar90m.txt ยท Last modified: 2019/04/05 15:04 (external edit)