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An Optical Sensor Network for Vegetation Phenology Monitoring and Satellite Data Calibration

Eklundh, Lars LU ; Jin, Hongxiao LU ; Schubert, Per LU ; Radoslaw, Guzinski and Heliasz, Michal LU (2011) In Sensors 11(8). p.7678-7709
Abstract
We present a network of sites across Fennoscandia for optical sampling of vegetation properties relevant for phenology monitoring and satellite data calibration. The network currently consists of five sites, distributed along an N-S gradient through Sweden and Finland. Two sites are located in coniferous forests, one in a deciduous forest, and two on peatland. The instrumentation consists of dual-beam sensors measuring incoming and reflected red, green, NIR, and PAR fluxes at 10-min intervals, year-round. The sensors are mounted on separate masts or in flux towers in order to capture radiation reflected from within the flux footprint of current eddy covariance measurements. Our computations and model simulations demonstrate the validity of... (More)
We present a network of sites across Fennoscandia for optical sampling of vegetation properties relevant for phenology monitoring and satellite data calibration. The network currently consists of five sites, distributed along an N-S gradient through Sweden and Finland. Two sites are located in coniferous forests, one in a deciduous forest, and two on peatland. The instrumentation consists of dual-beam sensors measuring incoming and reflected red, green, NIR, and PAR fluxes at 10-min intervals, year-round. The sensors are mounted on separate masts or in flux towers in order to capture radiation reflected from within the flux footprint of current eddy covariance measurements. Our computations and model simulations demonstrate the validity of using off-nadir sampling, and we show the results from the first year of measurement. NDVI is computed and compared to that of the MODIS instrument on-board Aqua and Terra satellite platforms. PAR fluxes are partitioned into reflected and absorbed components for the ground and canopy. The measurements demonstrate that the instrumentation provides detailed information about the vegetation phenology and variations in reflectance due to snow cover variations and vegetation development. Valuable information about PAR absorption of ground and canopy is obtained that may be linked to vegetation productivity. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
optical sampling, Normalized Difference Vegetation Index (NDVI), remote sensing, spectral sensor, photosynthetically active radiation (PAR), phenology
in
Sensors
volume
11
issue
8
pages
7678 - 7709
publisher
MDPI AG
external identifiers
  • wos:000294253900022
  • scopus:80052173952
ISSN
1424-8220
DOI
10.3390/s110807678
project
MERGE
BECC
language
English
LU publication?
yes
id
064058f8-80fe-47a2-8a47-cc4a1eec5258 (old id 2063325)
date added to LUP
2011-09-20 11:12:16
date last changed
2017-09-24 03:59:28
@article{064058f8-80fe-47a2-8a47-cc4a1eec5258,
  abstract     = {We present a network of sites across Fennoscandia for optical sampling of vegetation properties relevant for phenology monitoring and satellite data calibration. The network currently consists of five sites, distributed along an N-S gradient through Sweden and Finland. Two sites are located in coniferous forests, one in a deciduous forest, and two on peatland. The instrumentation consists of dual-beam sensors measuring incoming and reflected red, green, NIR, and PAR fluxes at 10-min intervals, year-round. The sensors are mounted on separate masts or in flux towers in order to capture radiation reflected from within the flux footprint of current eddy covariance measurements. Our computations and model simulations demonstrate the validity of using off-nadir sampling, and we show the results from the first year of measurement. NDVI is computed and compared to that of the MODIS instrument on-board Aqua and Terra satellite platforms. PAR fluxes are partitioned into reflected and absorbed components for the ground and canopy. The measurements demonstrate that the instrumentation provides detailed information about the vegetation phenology and variations in reflectance due to snow cover variations and vegetation development. Valuable information about PAR absorption of ground and canopy is obtained that may be linked to vegetation productivity.},
  author       = {Eklundh, Lars and Jin, Hongxiao and Schubert, Per and Radoslaw, Guzinski and Heliasz, Michal},
  issn         = {1424-8220},
  keyword      = {optical sampling,Normalized Difference Vegetation Index (NDVI),remote sensing,spectral sensor,photosynthetically active radiation (PAR),phenology},
  language     = {eng},
  number       = {8},
  pages        = {7678--7709},
  publisher    = {MDPI AG},
  series       = {Sensors},
  title        = {An Optical Sensor Network for Vegetation Phenology Monitoring and Satellite Data Calibration},
  url          = {http://dx.doi.org/10.3390/s110807678},
  volume       = {11},
  year         = {2011},
}