Title :
Error statistics for slope and aspect when derived from interpolated data
Author :
Ahmadzadeh, Mohammad Reza ; Petrou, Maria
Author_Institution :
Sch. of Electron., Comput. & Math., Surrey Univ., Guildford, UK
fDate :
9/1/2001 12:00:00 AM
Abstract :
Error models of slope and aspect of a terrain are presented. Such data are often extracted from a geographic information system (GIS), which may contain information from digital maps and remote sensing images. Although the sources of these data are usually of diverse resolution, all of them are usually resampled to refer to the same resolution. The authors examine the error associated with such data because of subsampling. The error distributions are modeled empirically
Keywords :
data analysis; data reduction; error statistics; geophysical signal processing; geophysical techniques; interpolation; sampling methods; terrain mapping; topography (Earth); aspect; data analysis; data reduction; digital map; error statistics; geophysical measurement technique; interpolation; land surface topography; remote sensing; resampled; sampling; slope; subsampling; terrain mapping; Data mining; Digital elevation models; Error analysis; Geographic Information Systems; Image resolution; Interpolation; Packaging; Production systems; Remote sensing; Sampling methods;
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
