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

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 conif...

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Autores principales: Eklundh, Lars, Jin, Hongxiao, Schubert, Per, Guzinski, Radoslaw, Heliasz, Michal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3231725/
https://www.ncbi.nlm.nih.gov/pubmed/22164039
http://dx.doi.org/10.3390/s110807678
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author Eklundh, Lars
Jin, Hongxiao
Schubert, Per
Guzinski, Radoslaw
Heliasz, Michal
author_facet Eklundh, Lars
Jin, Hongxiao
Schubert, Per
Guzinski, Radoslaw
Heliasz, Michal
author_sort Eklundh, Lars
collection PubMed
description 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.
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spelling pubmed-32317252011-12-07 An Optical Sensor Network for Vegetation Phenology Monitoring and Satellite Data Calibration Eklundh, Lars Jin, Hongxiao Schubert, Per Guzinski, Radoslaw Heliasz, Michal Sensors (Basel) Article 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. Molecular Diversity Preservation International (MDPI) 2011-08-04 /pmc/articles/PMC3231725/ /pubmed/22164039 http://dx.doi.org/10.3390/s110807678 Text en © 2011 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Article
Eklundh, Lars
Jin, Hongxiao
Schubert, Per
Guzinski, Radoslaw
Heliasz, Michal
An Optical Sensor Network for Vegetation Phenology Monitoring and Satellite Data Calibration
title An Optical Sensor Network for Vegetation Phenology Monitoring and Satellite Data Calibration
title_full An Optical Sensor Network for Vegetation Phenology Monitoring and Satellite Data Calibration
title_fullStr An Optical Sensor Network for Vegetation Phenology Monitoring and Satellite Data Calibration
title_full_unstemmed An Optical Sensor Network for Vegetation Phenology Monitoring and Satellite Data Calibration
title_short An Optical Sensor Network for Vegetation Phenology Monitoring and Satellite Data Calibration
title_sort optical sensor network for vegetation phenology monitoring and satellite data calibration
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3231725/
https://www.ncbi.nlm.nih.gov/pubmed/22164039
http://dx.doi.org/10.3390/s110807678
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