DocumentCode
1199195
Title
Automated mapping of Hammond´s landforms
Author
Gallant, Alisa L. ; Brown, Douglas D. ; Hoffer, Roger M.
Author_Institution
Remote Sensing & GIS Program in the Forest Sci. Dept., Colorado State Univ., Fort Collins, CO, USA
Volume
2
Issue
4
fYear
2005
Firstpage
384
Lastpage
388
Abstract
We automated a method for mapping Hammond´s landforms over large landscapes using digital elevation data. We compared our results against Hammond´s published landform maps, derived using manual interpretation procedures. We found general agreement in landform patterns mapped by the manual and the automated approaches, and very close agreement in characterization of local topographic relief. The two approaches produced different interpretations of intermediate landforms, which relied upon quantification of the proportion of landscape having gently sloping terrain. This type of computation is more efficiently and consistently applied by computer than human. Today´s ready access to digital data and computerized geospatial technology provides a good foundation for mapping terrain features, but the mapping criteria guiding manual techniques in the past may not be appropriate for automated approaches. We suggest that future efforts center on the advantages offered by digital advancements in refining an approach to better characterize complex landforms.
Keywords
geographic information systems; geophysics computing; pattern classification; terrain mapping; topography (Earth); Hammond landform mapping; computerized geospatial technology; digital elevation model; gently sloping terrain; geographic information system; landform patterns; local topographic relief; pattern classification; terrain mapping; Appropriate technology; Digital elevation models; Frequency; Geographic Information Systems; Geology; Humans; Moisture; Remote sensing; Surfaces; Terrain mapping; Classification; Hammond; digital elevation model (DEM); geographic information system (GIS); landform; mapping; terrain;
fLanguage
English
Journal_Title
Geoscience and Remote Sensing Letters, IEEE
Publisher
ieee
ISSN
1545-598X
Type
jour
DOI
10.1109/LGRS.2005.848529
Filename
1522206
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