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

Author:
  • Lars Eklundh
  • Hongxiao Jin
  • Per Schubert
  • Guzinski Radoslaw
  • Michal Heliasz
Publishing year: 2011
Language: English
Pages: 7678-7709
Publication/Series: Sensors
Volume: 11
Issue: 8
Document type: Journal article
Publisher: MDPI AG

Abstract english

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.

Keywords

  • Physical Geography
  • optical sampling
  • Normalized Difference Vegetation Index (NDVI)
  • remote sensing
  • spectral sensor
  • photosynthetically active radiation (PAR)
  • phenology

Other

Published
  • NordSpec - a research network for spectral data collection
  • remote sensing-lup-obsolete
  • ISSN: 1424-8220
E-mail: michal [dot] heliasz [at] cec [dot] lu [dot] se

Research engineer

Centre for Environmental and Climate Research (CEC)

+46 70 742 13 67

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Research engineer

Dept of Physical Geography and Ecosystem Science

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Research engineer

ICOS Sweden

+46 70 742 13 67

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

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