Abstract

Digital elevation models (DEMs) represent the Earth’s topography and support a variety of applications, ranging from extracting watershed drainage structure to measuring glacier volume. Applications that require conflation of multiple DEMs are problematic, however, because of misregistration. We explore a spatial optimization technique to quantify the misregistration on the pixel level between NASA’s Shuttle Radar Topography Mission (SRTM) elevation data set and the USGS’s National Elevation Dataset (NED). The misregistration, estimated within blocks by horizontal offset and direction, is modelled spatially in terms of typical topographical parameters: slope, aspect and elevation. A Nelder–Mead algorithm was implemented to compute the local shift at two study sites in the San Gabriel Mountains (SGM) and Santa Monica Mountains (SMM) in Los Angeles County, California. The magnitude of misregistration is generally less than the distance between DEM postings, and varies by terrain type, being larger in steeper terrains; nevertheless, misregistration is systematic within these continuous terrains that have similar topographical features.

Original languageEnglish (US)
Pages (from-to)43-55
Number of pages13
JournalAnnals of GIS
Volume22
Issue number1
DOIs
StatePublished - Jan 2 2016

Fingerprint

digital elevation model
Topography
Glaciers
Shuttle Radar Topography Mission
mountain
Watersheds
Drainage
NASA
pixel
glacier
Radar
Pixels
Earth (planet)
topography
watershed
drainage
measuring
parameter

Keywords

  • accuracy assessment
  • digital elevation model
  • Nelder–Mead algorithm
  • registration
  • spatial modelling
  • Spatial optimization

ASJC Scopus subject areas

  • Earth and Planetary Sciences(all)
  • Computer Science Applications

Cite this

An optimization technique for addressing DEM misregistration in hilly terrain. / Li, WenWen; Goodchild, Michael.

In: Annals of GIS, Vol. 22, No. 1, 02.01.2016, p. 43-55.

Research output: Contribution to journalArticle

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