IDEAS home Printed from https://ideas.repec.org/a/eee/matcom/v43y1997i3p313-321.html
   My bibliography  Save this article

Scale dependence in terrain analysis

Author

Listed:
  • Gallant, John C.
  • Hutchinson, Michael F.

Abstract

Topographic attributes computed from digital elevation models are dependent on the resolution of the elevation data from which they are computed. A regular rectangular grid is not an ideal representation of topographic surfaces for the study of scale effects. Spectral and wavelet techniques are obvious alternatives but have several deficiencies, particularly in their use of oscillatory basis functions. The positive wavelet representation has very attractive properties of localisation and feature representation. Preliminary application to one-dimensional topographic data (profiles) yields useful results, including the identification of changes in topographic structure with scale. Extension to two-dimensional analysis will allow quantification of characteristic shapes, scales and orientations in the landscape.

Suggested Citation

  • Gallant, John C. & Hutchinson, Michael F., 1997. "Scale dependence in terrain analysis," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 43(3), pages 313-321.
    • Handle: RePEc:eee:matcom:v:43:y:1997:i:3:p:313-321
    DOI: 10.1016/S0378-4754(97)00015-3
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378475497000153
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/S0378-4754(97)00015-3?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Nicholas Tate & Chris Brunsdon & Martin Charlton & A. Fotheringham & Claire Jarvis, 2005. "Smoothing/filtering LiDAR digital surface models. Experiments with loess regression and discrete wavelets," Journal of Geographical Systems, Springer, vol. 7(3), pages 273-290, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:matcom:v:43:y:1997:i:3:p:313-321. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/mathematics-and-computers-in-simulation/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.