MISR abstract

Jenkins, J.P., Ollinger, S.V., Martin, M.E., Plourde, L., Smith, M., and Hollinger, D., (2004). Detecting patterns of forest canopy carbon uptake across multiple scales using flux measurements, high resolution remote sensing and ecosystem modeling. Eos Trans. AGU, 85(47), Fall Meet. Suppl. 2004, Abstract # B23A-0928

We present detailed results from a study designed to asses the relative influence of forest canopy structural and chemical parameters on carbon uptake. Current remote sensing techniques for detecting productivity and gross photosynthesis rely predominantly on sensitivity to structural variables such as LAI and fPAR. While these parameters are certainly important, recent research has suggested that at certain scales, and particularly in dense canopies where the fPAR signal is saturated, variability in leaf nitrogen chemistry can explain observed differences in carbon uptake. Using high resolution hyperspectral and multi-angular optical remote sensing in combination with a biogeochemical vegetation model we explore our ability to scale surface measurements of gross carbon exchange measured at eddy co-variance towers to the resolution of broad scale sensors (MODIS and MISR). Both spatial and temporal dimensions of these data are presented. Remote sensing data and model results are presented from a series of sites (including Maine, Massachusetts, North Carolina and Florida) which span a climatic and vegetation gradient across the forests of the eastern United States.

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