100.000m

NZEnvDS_Geomorphons v1.0

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Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International

You may not use this work for commercial purposes.

You must attribute the creator in your own works.

You must not release derivatives of this work.

377
27
Added
09 Apr 2022

This dataset was first added to LRIS Portal on 09 Apr 2022.

New Zealand Environmental Data Stack (NZEnvDS) comprises a set of 72 spatial layers for environmental modelling and site characterisation. NZEnvDS includes the layers that informed the Land Environments of New Zealand (LENZ), additional layers generated for LENZ that were never publicly released, and additional layers generated since, all covering mainland New Zealand and surrounding inshore islands. The original/top copy of the dataset is available at (doi.org/10.7931/m6rm-vz40), but the layers are reproduced here for ease of access. See (newzealandecology.org/nzje/3440/) for a publication describing NZEnvDS. Generating using a geomorphon algorithm, which uses pattern recognition concepts to classify terrain based on a DEM. Individual pixels are allocated to one of the following 10 values:

  1. flat
  2. summit
  3. ridge
  4. shoulder
  5. spur
  6. slope
  7. hollow
  8. footslope
  9. valley
  10. depression.

Generated using r.geomorphon (Jasiewicz et al. 2013; Jasiewicz & Stepinski 2013) in GRASS GIS (Neteler et al. 2012). The NZEnvDS variable “elevation” was used as the DEM input.

Please cite the original paper as attribution when using these layers.

License

Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International

You may not use this work for commercial purposes.

You must attribute the creator in your own works.

You must not release derivatives of this work.

Technical Details
Layer ID 107409
Data type Image/Raster
Resolution 100.000m
Services Raster Tiles Query API, Catalog Service (CS-W)
History
Added 9 Apr 2022
Revisions 6 - Browse all revisions
Current revision Imported on April 9, 2022 from GeoTIFF in NZGD49 / New Zealand Map Grid.

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