Multi-scale landform characterization.

The writers propose a method for characterizing land surfaces on multiple, spatially varying local land surface scales. They approximate terrain surfaces locally in order to calculate surface derivatives at various window sizes and use local scale behavior diagrams to define scale ranges and curvat...

Descripción completa

Detalles Bibliográficos
Publicado en:Area Vol. 37; no. 3; pp. 341 - 351
Autores principales: Schmidt, Jochen, Andrew, Robbie
Formato: Artículo
Publicado: Wiley-Blackwell September 2005
Materias:
Acceso en línea:Ver este registro en EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=511261474&site=ehost-live
header:
  @attributes:
    shortDbName: ssf
    uiTerm: 511261474
    longDbName: Social Sciences Full Text (H.W. Wilson)
    uiTag: AN
  controlInfo:
    bkinfo:
    jinfo:
      jid:
        00040894
        D7Y
      jtl: Area
      issn: 00040894
      maglogo: N
    pubinfo:
      dt: September 2005
      vid: 37
      iid: 3
      pid: 480
      pub: Wiley-Blackwell
    artinfo:
      ui:
        511261474
        10.1111/j.1475-4762.2005.00638.x
      ppf: 341
      ppct: 10
      formats:
      tig:
        atl: Multi-scale landform characterization.
      aug:
        au:
          Schmidt, Jochen
          Andrew, Robbie
      su:
        Digital image processing
        Relief models
        Landforms
      sug:
        subj:
          Digital image processing
          Relief models
          Landforms
      keyword: Digital elevation models
      ab: The writers propose a method for characterizing land surfaces on multiple, spatially varying local land surface scales. They approximate terrain surfaces locally in order to calculate surface derivatives at various window sizes and use local scale behavior diagrams to define scale ranges and curvatures for each surface point. The writers hope to demonstrate the value of these approaches for land surface parameterization and classification and to encourage future research in the direction of multi-scale landform characterization.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
    refInfo:
    copyright:
      @attributes:
        flag: N
    holdings:
      @attributes:
        islocal: N