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Estimating leaf area index in coniferous and deciduous forests in Sweden using landsat optical sensor data

Eklundh, Lars LU (2003) Remote Sensing for Agriculture Ecosystems, and Hydrology IV In Proceedings of SPIE - The International Society for Optical Engineering 4879. p.379-390
Abstract
This paper reports on research to estimate leaf area index (LAI) in Swedish forests with satellite sensor data. The study is part of a research programme that aims at generating input data for process-oriented forest carbon models. Field-work was carried out in two areas in Sweden about 530 km apart, in the nemoral and boreo-nemoral forest regions. Various ways of estimating LAI in the field were tested, including litter-traps, allometric equations, and light transmission measurements. The capability of Landsat TM and ETM+ for LAI-mapping was investigated with the Nilson and Kuusk forest reflectance model. Results point to channel 3 and the mid-IR channels as particularly important for LAI estimation in coniferous stands, however, modelled... (More)
This paper reports on research to estimate leaf area index (LAI) in Swedish forests with satellite sensor data. The study is part of a research programme that aims at generating input data for process-oriented forest carbon models. Field-work was carried out in two areas in Sweden about 530 km apart, in the nemoral and boreo-nemoral forest regions. Various ways of estimating LAI in the field were tested, including litter-traps, allometric equations, and light transmission measurements. The capability of Landsat TM and ETM+ for LAI-mapping was investigated with the Nilson and Kuusk forest reflectance model. Results point to channel 3 and the mid-IR channels as particularly important for LAI estimation in coniferous stands, however, modelled reflectances were strongly influenced by background reflectances (particularly at low densities) and leaf optical properties. Top-of-canopy reflectances were derived from Landsat TM and ETM+, and their relationships with field-estimated LAI analysed. Among several vegetation indices .tested, the Moisture Stress Index (TM5 / TM4) was one of the best indices for LAI in coniferous stands. In deciduous stands relationships based on the Simple Ratio were superior, however, the explanatory power in deciduous stands was lower than in coniferous stands. (Less)
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author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Canopy reflectance modelling, Thematic mapper, Light transmission measurement, Leaf area index, Landsat optical sensor
in
Proceedings of SPIE - The International Society for Optical Engineering
volume
4879
pages
379 - 390
publisher
The International Society for Optical Engineering
conference name
Remote Sensing for Agriculture Ecosystems, and Hydrology IV
external identifiers
  • wos:000182227200040
  • other:CODEN: PSISDG
  • scopus:0038193863
ISSN
0277-786X
1996-756X
DOI
language
English
LU publication?
yes
id
e542f0bf-e884-4af2-afe1-5afee7c168b1 (old id 611303)
date added to LUP
2007-11-27 11:56:55
date last changed
2018-05-29 10:29:37
@inproceedings{e542f0bf-e884-4af2-afe1-5afee7c168b1,
  abstract     = {This paper reports on research to estimate leaf area index (LAI) in Swedish forests with satellite sensor data. The study is part of a research programme that aims at generating input data for process-oriented forest carbon models. Field-work was carried out in two areas in Sweden about 530 km apart, in the nemoral and boreo-nemoral forest regions. Various ways of estimating LAI in the field were tested, including litter-traps, allometric equations, and light transmission measurements. The capability of Landsat TM and ETM+ for LAI-mapping was investigated with the Nilson and Kuusk forest reflectance model. Results point to channel 3 and the mid-IR channels as particularly important for LAI estimation in coniferous stands, however, modelled reflectances were strongly influenced by background reflectances (particularly at low densities) and leaf optical properties. Top-of-canopy reflectances were derived from Landsat TM and ETM+, and their relationships with field-estimated LAI analysed. Among several vegetation indices .tested, the Moisture Stress Index (TM5 / TM4) was one of the best indices for LAI in coniferous stands. In deciduous stands relationships based on the Simple Ratio were superior, however, the explanatory power in deciduous stands was lower than in coniferous stands.},
  author       = {Eklundh, Lars},
  booktitle    = {Proceedings of SPIE - The International Society for Optical Engineering},
  issn         = {0277-786X},
  keyword      = {Canopy reflectance modelling,Thematic mapper,Light transmission measurement,Leaf area index,Landsat optical sensor},
  language     = {eng},
  pages        = {379--390},
  publisher    = {The International Society for Optical Engineering},
  title        = {Estimating leaf area index in coniferous and deciduous forests in Sweden using landsat optical sensor data},
  url          = {http://dx.doi.org/},
  volume       = {4879},
  year         = {2003},
}