Ground-based grasslands data to support remote sensing and ecosystem modeling of terrestrial primary production

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Estimating terrestrial net primary production (NPP) using remote- sensing tools and ecosystem models requires adequate ground-based measurements for calibration, parameterization, and validation. These data needs were strongly endorsed at a recent meeting of ecosystem modelers organized by the International Geosphere-Biosphere Programme`s (IGBP`s) Data and Information System (DIS) and its Global Analysis, Interpretation, and Modelling (GAIM) Task Force. To meet these needs, a multinational, multiagency project is being coordinated by the IGBP DIS to compile existing NPP data from field sites and to regionalize NPP point estimates to various-sized grid cells. Progress at Oak Ridge National Laboratory (ORNL) on compiling NPP ... continued below

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6 p.

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Olson, R.J.; Turner, R.S.; Scurlock, J.M.O. & Jennings, S.V. December 31, 1995.

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Description

Estimating terrestrial net primary production (NPP) using remote- sensing tools and ecosystem models requires adequate ground-based measurements for calibration, parameterization, and validation. These data needs were strongly endorsed at a recent meeting of ecosystem modelers organized by the International Geosphere-Biosphere Programme`s (IGBP`s) Data and Information System (DIS) and its Global Analysis, Interpretation, and Modelling (GAIM) Task Force. To meet these needs, a multinational, multiagency project is being coordinated by the IGBP DIS to compile existing NPP data from field sites and to regionalize NPP point estimates to various-sized grid cells. Progress at Oak Ridge National Laboratory (ORNL) on compiling NPP data for grasslands as part of the IGBP DIS data initiative is described. Site data and associated documentation from diverse field studies are being acquired for selected grasslands and are being reviewed for completeness, consistency, and adequacy of documentation, including a description of sampling methods. Data are being compiled in a database with spatial, temporal, and thematic characteristics relevant to remote sensing and global modeling. NPP data are available from the ORNL Distributed Active Archive Center (DAAC) for biogeochemical dynamics. The ORNL DAAC is part of the Earth Observing System Data and Information System, of the US National Aeronautics and Space Administration.

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6 p.

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INIS; OSTI as DE96005643

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  • 10. international photosynthesis congress, Montpellier (France), 20-25 Aug 1995

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  • Other: DE96005643
  • Report No.: CONF-9508202--4
  • Grant Number: AC05-84OR21400
  • Office of Scientific & Technical Information Report Number: 205580
  • Archival Resource Key: ark:/67531/metadc669688

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Office of Scientific & Technical Information Technical Reports

Reports, articles and other documents harvested from the Office of Scientific and Technical Information.

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  • December 31, 1995

Added to The UNT Digital Library

  • June 29, 2015, 9:42 p.m.

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  • Aug. 8, 2016, 8:45 p.m.

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Olson, R.J.; Turner, R.S.; Scurlock, J.M.O. & Jennings, S.V. Ground-based grasslands data to support remote sensing and ecosystem modeling of terrestrial primary production, article, December 31, 1995; Tennessee. (digital.library.unt.edu/ark:/67531/metadc669688/: accessed December 13, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.