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Integration of CO 2 flux and remotelysensed data for primary production and ecosystem respiration analyses in the Northern Great Plains: potential for quantitative spatial extrapolation
Publications from USDA-ARS / UNL Faculty
  • Tagir G Gilmanov, South Dakota State University
  • Larry L Tieszen, SAIC, USGS/EROS
  • Bruce K Wylie, SAIC, USGS/EROS
  • Larry B Flanagan, University of Lethbridge
  • Albert B Frank, Northern Great Plains Research Laboratory
  • Marshall R Haferkamp, USDA-ARS
  • Tilden P Meyers, NOAA/ARL
  • Jack A Morgan, Natural Resources Research Center
Date of this Version
1-1-2005
Disciplines
Comments
Published in Global Ecology and Biogeography, (Global Ecol. Biogeogr.) (2005) 14, 271–292.
Abstract

Aim Extrapolation of tower CO2 fluxes will be greatly facilitated if robust relationships between flux components and remotely sensed factors are established. Long-term measurements at five Northern Great Plains locations were used to obtain relationships between CO2 fluxes and photosynthetically active radiation (Q), other on-site factors, and Normalized Difference Vegetation Index (NDVI) from the SPOT VEGETATION data set.

Citation Information
Tagir G Gilmanov, Larry L Tieszen, Bruce K Wylie, Larry B Flanagan, et al.. "Integration of CO 2 flux and remotelysensed data for primary production and ecosystem respiration analyses in the Northern Great Plains: potential for quantitative spatial extrapolation" (2005)
Available at: http://works.bepress.com/bruce_wylie/14/