Title :
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
fDate :
7/1/1993 12:00:00 AM
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;
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
