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

Volume

39

Issue

9

fYear

2001

fDate

9/1/2001 12:00:00 AM

Firstpage

1823

Lastpage

1833

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;

fLanguage

English

Journal_Title

Geoscience and Remote Sensing, IEEE Transactions on

Publisher

ieee

ISSN

0196-2892

Type

jour

DOI

10.1109/36.950801

Filename

950801