Skip navigation
  •  Home
  • UDC 
    • Getting started
    • RUC Policies
    • FAQ
    • FAQ on Copyright
    • More information at INFOguias UDC
  • Browse 
    • Communities
    • Browse by:
    • Issue Date
    • Author
    • Title
    • Subject
  • Help
    • español
    • Gallegan
    • English
  • Login
  •  English 
    • Español
    • Galego
    • English
  
View Item 
  •   DSpace Home
  • 2. Publicacións UDC
  • Revistas UDC
  • Cadernos do Laboratorio Xeolóxico de Laxe
  • REV - CLXL - Vol. 26 (2001)
  • View Item
  •   DSpace Home
  • 2. Publicacións UDC
  • Revistas UDC
  • Cadernos do Laboratorio Xeolóxico de Laxe
  • REV - CLXL - Vol. 26 (2001)
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Geostatistical interpolation of topographical field data in order to obtain a DEM of a small forest catchment in Northwest Spain

Thumbnail
View/Open
CA-26-7.pdf (171.2Kb)
Use this link to cite
http://hdl.handle.net/2183/6522
Collections
  • REV - CLXL - Vol. 26 (2001) [37]
Metadata
Show full item record
Title
Geostatistical interpolation of topographical field data in order to obtain a DEM of a small forest catchment in Northwest Spain
Alternative Title(s)
Interpolación geoestadística de datos topográficos para obtener un MED de una pequeña cuenca forestal en el noroeste de España
Author(s)
Thonon, I.
Cacheiro Pose, Mónica
Date
2001
Citation
Cadernos do Laboratorio Xeolóxico de Laxe, 2001, 26: 179-190 ISSN: 00213-4497
Abstract
[Abstract] This article gives an example of the elaboration of a digital elevation model (DEM) with the aid of geostatistics, using the case of a small experimental catchment near Arcos de la Condesa in Galicia, Spain. A DEM is a necessary tool in present-day erosion and landscape modelling. The geostatistical method of DEM construction involves six steps, starting with the removal of the drift and ending with the final interpolation. The drift was almost completely eliminated by a first order trend surface. After it had been confirmed that no heteroscedacity is present in the data set, the resulting experimental variogram was fitted by an anisotropic Gaussian variogram model, which is the variogram model that is generally used for DEM interpolation. Cross validation was used to determine the optimal number of data points to be used in interpolation. The interpolation results were found to be satisfactory and the interpolation standard deviations are below the data set standard deviation. It is yet noted that this uncertainty in the DEM – although small – may influence its derivatives and subsequent model results. However, when compared to other methods of DEM elaboration, the method as used here is an easy, adequate and relatively fast method, that has the major advantage of providing interpolation errors, enabling an evaluation of the interpolation result.
Keywords
Geostatistics
Kriging
Interpolation
Anisotropy
DEM
GIS
 
ISSN
0213-4497

Browse

All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

My Account

LoginRegister

Statistics

View Usage Statistics
Sherpa
OpenArchives
OAIster
Scholar Google
UNIVERSIDADE DA CORUÑA. Servizo de Biblioteca.    DSpace Software Copyright © 2002-2013 Duraspace - Send Feedback