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
Link To Document :
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