Simultaneous carbon flux, tower-based optical measurements and remote sensing in support of NACP scaling efforts

HR: 0800h
AN: B51C-0229 [Abstracts]
TI: Simultaneous carbon flux, tower-based optical measurements and remote sensing in support of NACP scaling efforts
AU: * Jenkins, J P
EM: julian.jenkins@unh.edu
AF: Complex Systems Research Center, University of New Hampshire, Durham, NH 03824 United States
AU: Braswell, B H
EM: rob.braswell@unh.edu
AF: Complex Systems Research Center, University of New Hampshire, Durham, NH 03824 United States
AU: Ollinger, S V
EM: scott.ollinger@unh.edu
AF: Complex Systems Research Center, University of New Hampshire, Durham, NH 03824 United States
AU: Richardson, A D
EM: andrew.richardson@unh.edu
AF: Complex Systems Research Center, University of New Hampshire, Durham, NH 03824 United States
AU: Smith, M
EM: marielouise.smith@unh.edu
AF: USDA Forest Service, Northeastern Research Station, Durham, NH 03824 United States
AB: As part of a regional carbon cycling synthesis initiative (NACP) designed to improve methods of scaling plot and tower productivity measurements to regional landscapes we present a complete two year time series of carbon flux, canopy optical measurements and MODIS remote sensing for the USDA Bartlett Experimental Forest eddy-covariance flux tower. The Bartlett flux tower, a recent addition to the AmeriFlux network, is located in the predominantly northern hardwood US Forest Service research station in the White Mountains of New Hampshire . Through the unique tower instrumentation of upward and downward facing quantum (PAR) and pyronometer (full spectrum) optical sensors both above and below the forest canopy we are able to calculate true NDVI, fAPAR and other canopy reflectance indexes throughout the growing season and coincident with tower measurements of net and gross photosynthesis (carbon uptake). We compare these data with estimates from MODIS and explore the potential for refining light-use efficiency calculations from remote sensing. We also present a unique histeresis relationship between NDVI and fAPAR in which a significant seasonal (green-up vs. sensence) pattern emerges between these important remote sensing parameters.
DE: 0414 Biogeochemical cycles, processes, and modeling (0412, 0793, 1615, 4805, 4912)
DE: 0426 Biosphere/atmosphere interactions (0315)
DE: 0428 Carbon cycling (4806)
DE: 0452 Instruments and techniques
DE: 0933 Remote sensing
SC: Biogeosciences [B]
MN: Fall Meeting 2005