Menu

Javascript is not activated in your browser. This website needs javascript activated to work properly.
You are here

Investigating the use of Landsat thematic mapper data for estimation of forest leaf area index in southern Sweden

Author:
  • Lars Eklundh
  • Karin Hall
  • Helena Eriksson
  • Jonas Ardö
  • Petter Pilesjö
Publishing year: 2003
Language: English
Pages: 349-362
Publication/Series: Canadian Journal of Remote Sensing
Volume: 29
Issue: 3
Document type: Journal article
Publisher: NRC Research Press

Abstract english

The study aims at investigating the use of Landsat thematic mapper (TM) for mapping leaf area index (LAI) in coniferous and deciduous forests in southern Sweden. LAI has been estimated in the field with optical measurements, allometric equations, and litter-trap data, and empirical relationships between LAI estimates and satellite-measured reflectances have been analysed. Several common vegetation indices and multiple regressions where estimated LAI is predicted as a function of various spectral bands are tested. The results indicate significant relationships between Landsat TM reflectances and parameters related to LAI, and the relationships are improved when separating coniferous and deciduous stands. The best relationships occur between Landsat TM data and the product of effective LAI as estimated with the LAI-2000 instrument and a needle clumping factor (L-G), which explains about 80% of the variation in coniferous stands and about 50% of the variation in deciduous stands. The best single bands in coniferous stands are the middle-infrared bands (TM5 and TM7), and the best vegetation index is the moisture stress index (TM5/TM4). The best single band in deciduous stands is TM4, and the best vegetation index is the simple ratio (SR).

Keywords

  • Physical Geography

Other

Published
  • ISSN: 1712-7971
E-mail: jonas [dot] ardo [at] nateko [dot] lu [dot] se

Professor

Dept of Physical Geography and Ecosystem Science

+46 46 222 40 31

369

16

Teaching staff

Dept of Physical Geography and Ecosystem Science

16

Department of Physical Geography and Ecosystem Science
Lund University
Sölvegatan 12
S-223 62 Lund
Sweden

Processing of personal data

Accessibility statement