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Estimation of absorbed PAR across Scandinavia from satellite measurements. Part II: modeling and evaluating the fractional absorption.

Olofsson, Pontus LU and Eklundh, Lars LU (2007) In Remote Sensing of Environment 110(2). p.240-251
Abstract
The aim of this study is to generate a quality-controlled sub-kilometer dataset of the fraction of absorbed photosynthetically active radiation (FAPAR) across Scandinavia from satellite. FAPAR is required for estimating the amount of PAR absorbed (APAR) by vegetation, which in turn allows for estimation of carbon uptake. In this study, FA-PAR was modeled from normalized difference vegetation index (NDVI) which was obtained from the MODIS VI product(MOD13Q1) at 250 m spatial resolution. Modeled FAPAR was evaluated against in-situ measurements of fractional interception of PAR (FIPAR) and FAPAR at nine plots in six forested sites across Sweden and Denmark from 2001 to 2005. High resolution remote sensing data were used to investigate the... (More)
The aim of this study is to generate a quality-controlled sub-kilometer dataset of the fraction of absorbed photosynthetically active radiation (FAPAR) across Scandinavia from satellite. FAPAR is required for estimating the amount of PAR absorbed (APAR) by vegetation, which in turn allows for estimation of carbon uptake. In this study, FA-PAR was modeled from normalized difference vegetation index (NDVI) which was obtained from the MODIS VI product(MOD13Q1) at 250 m spatial resolution. Modeled FAPAR was evaluated against in-situ measurements of fractional interception of PAR (FIPAR) and FAPAR at nine plots in six forested sites across Sweden and Denmark from 2001 to 2005. High resolution remote sensing data were used to investigate the representativeness of the measurement areas. Furthermore, FAPAR from the MODIS LAI/FPAR product at 1 km spatial resolution (MOD 15A2) was investigated and compared the measured and modeled FAPAR. There was good agreement between modeled and measured FAPAR (6.9% average RMSE of the means). A linear relationship between daily values of NDVI and FAPAR was found (R-2=0.82), and it is concluded that seasonally adjusted NDVI can be used for accurate FAPAR estimations over forested areas in Scandinavia. However, it was found that the error was correlated with average FAPAR and that it is important to take the understory vegetation into account when measuring FAPAR in open canopies. The observed difference between FIPAR and FAPAR was 2.3 and 1.4 percentage units for coniferous and deciduous stands, respectively. MODIS FAPAR performed well although a few unrealistic values were present, highlighting the necessity to filter out low quality values using the quality-control datasets. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
FAPAR, MODIS, FIPAR, PPFD, PAR, NPP, Scandinavia, forest
in
Remote Sensing of Environment
volume
110
issue
2
pages
240 - 251
publisher
Elsevier
external identifiers
  • wos:000249161200009
  • scopus:34547475164
ISSN
0034-4257
DOI
10.1016/j.rse.2007.02.020
language
English
LU publication?
yes
id
16cb9b61-8feb-4797-8668-1abbdc8349c5 (old id 694636)
date added to LUP
2007-12-17 08:24:59
date last changed
2017-09-03 05:03:42
@article{16cb9b61-8feb-4797-8668-1abbdc8349c5,
  abstract     = {The aim of this study is to generate a quality-controlled sub-kilometer dataset of the fraction of absorbed photosynthetically active radiation (FAPAR) across Scandinavia from satellite. FAPAR is required for estimating the amount of PAR absorbed (APAR) by vegetation, which in turn allows for estimation of carbon uptake. In this study, FA-PAR was modeled from normalized difference vegetation index (NDVI) which was obtained from the MODIS VI product(MOD13Q1) at 250 m spatial resolution. Modeled FAPAR was evaluated against in-situ measurements of fractional interception of PAR (FIPAR) and FAPAR at nine plots in six forested sites across Sweden and Denmark from 2001 to 2005. High resolution remote sensing data were used to investigate the representativeness of the measurement areas. Furthermore, FAPAR from the MODIS LAI/FPAR product at 1 km spatial resolution (MOD 15A2) was investigated and compared the measured and modeled FAPAR. There was good agreement between modeled and measured FAPAR (6.9% average RMSE of the means). A linear relationship between daily values of NDVI and FAPAR was found (R-2=0.82), and it is concluded that seasonally adjusted NDVI can be used for accurate FAPAR estimations over forested areas in Scandinavia. However, it was found that the error was correlated with average FAPAR and that it is important to take the understory vegetation into account when measuring FAPAR in open canopies. The observed difference between FIPAR and FAPAR was 2.3 and 1.4 percentage units for coniferous and deciduous stands, respectively. MODIS FAPAR performed well although a few unrealistic values were present, highlighting the necessity to filter out low quality values using the quality-control datasets.},
  author       = {Olofsson, Pontus and Eklundh, Lars},
  issn         = {0034-4257},
  keyword      = {FAPAR,MODIS,FIPAR,PPFD,PAR,NPP,Scandinavia,forest},
  language     = {eng},
  number       = {2},
  pages        = {240--251},
  publisher    = {Elsevier},
  series       = {Remote Sensing of Environment},
  title        = {Estimation of absorbed PAR across Scandinavia from satellite measurements. Part II: modeling and evaluating the fractional absorption.},
  url          = {http://dx.doi.org/10.1016/j.rse.2007.02.020},
  volume       = {110},
  year         = {2007},
}