Seasonal variation of LAI in Swedish coniferous forest
(2023) In Student thesis series INES NGEK01 20231Dept of Physical Geography and Ecosystem Science
- Abstract
- Leaf Area Index (LAI) is quantity representing the amount of foliage in the canopy, which makes it an important parameter for analysing terrestrial ecosystems. Traditional methods of measuring LAI were done by analysing hemispherical photographs by hand and were very time consuming, requiring specific weather conditions (Jonckheere et al. 2004). Modern methods, including remote sensing, have much higher automation, yielding continuous data. In this thesis, LAI for a spruce forest at Hyltemossa ICOS site was calculated and plotted as a continous time series, and the results were compared to available discontinuous measurements done using hemispherical photographs, as well as other studies of LAI for coniferous forests. The resulting values... (More)
- Leaf Area Index (LAI) is quantity representing the amount of foliage in the canopy, which makes it an important parameter for analysing terrestrial ecosystems. Traditional methods of measuring LAI were done by analysing hemispherical photographs by hand and were very time consuming, requiring specific weather conditions (Jonckheere et al. 2004). Modern methods, including remote sensing, have much higher automation, yielding continuous data. In this thesis, LAI for a spruce forest at Hyltemossa ICOS site was calculated and plotted as a continous time series, and the results were compared to available discontinuous measurements done using hemispherical photographs, as well as other studies of LAI for coniferous forests. The resulting values showed no seasonal or multiannual trend, but generally match the findings of several other studies, with the obtained values between 4 and 5 being typical for coniferous forest (Parker 2020). (Less)
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/9134365
- author
- Mastepanov, Ilia LU
- supervisor
-
- Thomas Holst LU
- organization
- course
- NGEK01 20231
- year
- 2023
- type
- M2 - Bachelor Degree
- subject
- keywords
- leaf area index, LAI, PAR, forest, coniferous forest, Hyltemossa
- publication/series
- Student thesis series INES
- report number
- 625
- language
- English
- id
- 9134365
- date added to LUP
- 2023-08-15 14:26:47
- date last changed
- 2023-08-15 14:26:47
@misc{9134365, abstract = {{Leaf Area Index (LAI) is quantity representing the amount of foliage in the canopy, which makes it an important parameter for analysing terrestrial ecosystems. Traditional methods of measuring LAI were done by analysing hemispherical photographs by hand and were very time consuming, requiring specific weather conditions (Jonckheere et al. 2004). Modern methods, including remote sensing, have much higher automation, yielding continuous data. In this thesis, LAI for a spruce forest at Hyltemossa ICOS site was calculated and plotted as a continous time series, and the results were compared to available discontinuous measurements done using hemispherical photographs, as well as other studies of LAI for coniferous forests. The resulting values showed no seasonal or multiannual trend, but generally match the findings of several other studies, with the obtained values between 4 and 5 being typical for coniferous forest (Parker 2020).}}, author = {{Mastepanov, Ilia}}, language = {{eng}}, note = {{Student Paper}}, series = {{Student thesis series INES}}, title = {{Seasonal variation of LAI in Swedish coniferous forest}}, year = {{2023}}, }