Global Landform classification

This dataset (GIS maps) represent global lanform classification calculated by the JRC, according to 1) Meybeck et al., presenting relief classes, which are calculated based on the relief roughness, and 2) Iwahashi and Pike, presenting relief classes which are classified using an unsupervised nested-means algorithms and a three part geometric signature.
Registration is requested: 
Yes
Publisher: 
European Commission - DG JRC
Year: 
2008

Data

To get access to the data, please compile the online form; instructions will then follow how to download the datasets.

  • The landform classification following Meybeck et al. (2001) presents relief classes, which are calculated based on the relief roughness. Roughness and elevation are classified based on a DEM according to static thresholds, with a given window size ( e.g. 20 in the dataset shown). This is an example of a static (in terms of thresholds) landform classification method.
  • The landform classification following Iwahashi and Pike (2007) present relief classes which are classified using an unsupervised nested-means algorithms and a three part geometric signature. Slope gradient, surface texture and local convexity are calculated based on the SRTM30 DEM, within a given window size (e.g. 10 in the dataset shown) and classified according to the inherent data set properties. This is an example for a dynamic (in terms of thresholds) landform classification method.

Information about the data in the section: Landform classification

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