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Proceedings Paper

Multi-date satellite image processing techniques for European forest mapping
Author(s): Niall L.M. McCormick; Pamela J. Kennedy; S. Folving
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Paper Abstract

A methodology for using Landsat TM images from different imaging dates for mapping European forest ecosystems is described. The methodology has been applied to a forested area in central Ireland. The multi-date images are first corrected for the effects of varying sun position, topography and atmospheric conditions. The imagery is classified using a database of pre-established spectral-phenological profiles for the different forest types. Classification accuracy compares favorably with existing ground inventory data. The radiometric correction successfully reduces variation in the spectral signatures caused by changes in topography and atmospheric conditions. This research is being carried out as part of the FIRS (forest information for remote sensing) program at the Joint Research Centre, Ispra.

Paper Details

Date Published: 31 January 1995
PDF: 10 pages
Proc. SPIE 2314, Multispectral and Microwave Sensing of Forestry, Hydrology, and Natural Resources, (31 January 1995); doi: 10.1117/12.201447
Show Author Affiliations
Niall L.M. McCormick, Joint Research Ctr. (Italy)
Pamela J. Kennedy, Joint Research Ctr. (Italy)
S. Folving, Joint Research Ctr. (Italy)

Published in SPIE Proceedings Vol. 2314:
Multispectral and Microwave Sensing of Forestry, Hydrology, and Natural Resources
Eric Mougin; K. Jon Ranson; James Alan Smith, Editor(s)

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