Geometric and radiometric correction of TM data of mountainous forested areas

Author

Itten, Klaus I. ; Meyer, Peter

Author_Institution

Remote Sensing Lab., Zurich-Irchel Univ., Switzerland

Volume

31

Issue

4

fYear

1993

fDate

7/1/1993 12:00:00 AM

Firstpage

764

Lastpage

770

Abstract

Methodologies to improve Landsat TM (Thematic Mapper) forest classifications of alpine regions through the removal of some radiometric and geometric distortions are tested. Besides correcting for sensor and system induced errors, geometric errors are corrected using a digital elevation model. Then scene-related effects such as differences in illumination as well as the height dependent atmospheric influence and adjacency effects are corrected. The improvement of the accuracy of a forest classification is demonstrated by comparison with ground truth data

Keywords

forestry; geophysical techniques; remote sensing; IR; Landsat; TM; Thematic Mapper; accuracy; adjacency; classification; digital elevation model; forest; geometric correction; improvement; infrared; land surface; measurement; mountain; mountainous forested areas; multispectral method; radiometric correction; remote sensing; scene-related effects; sensor error; system induced errors; technique; vegetation; visible; Digital elevation models; Geometry; Layout; Lighting; Radiometry; Remote sensing; Satellites; Space technology; Surfaces; Testing;

fLanguage

English

Journal_Title

Geoscience and Remote Sensing, IEEE Transactions on

Publisher

ieee

ISSN

0196-2892

Type

jour

DOI

10.1109/36.239898

Filename

239898