HR: 0830h
AN: B21E-0755    [PDF]
TI: Biospheric Monitoring and Ecological Forecasting using EOS/MODIS data, ecosystem modeling, planning and scheduling technologies
AU: * Nemani, R R
EM: nemani@ntsg.umt.edu
AF: NASA Ames Research Center, Mail Stop: 242-4, Moffett Field, CA 94035 United States
AU: Votava, P
EM: votava@ntsg.umt.edu
AF: NASA Ames Research Center, Mail Stop: 242-4, Moffett Field, CA 94035 United States
AU: Golden, K
EM: kgolden@mail.arc.nasa.gov
AF: NASA Ames Research Center, Mail Stop: 242-4, Moffett Field, CA 94035 United States
AU: Hashimoto, H
EM: hiro@ntsg.umt.edu
AF: NTSG/University of Montana, Science Complex, 428, Missoula, MT 59801 United States
AU: Jolly, M
EM: mattj@ntsg.umt.edu
AF: NTSG/University of Montana, Science Complex, 428, Missoula, MT 59801 United States
AU: White, M
EM: whitem@cc.usu.edu
AF: Utah State University, Dept. of Aquatic, Watershed and Earth Resources, Logan, UT 84322 United States
AU: Running, S
EM: swr@ntsg.umt.edu
AF: NTSG/University of Montana, Science Complex, 428, Missoula, MT 59801 United States
AU: Coughlan, J
EM: joseph.c.coughlan@nasa.gov
AF: NASA Ames Research Center, Mail Stop: 242-4, Moffett Field, CA 94035 United States
AB: The latest generation of NASA Earth Observing System satellites has brought a new dimension to continuous monitoring of the living part of the Earth System, the Biosphere. EOS data can now provide weekly global measures of vegetation productivity and ocean chlorophyll, and many related biophysical factors such as land cover changes or snowmelt rates. However, information with the highest economic value would be forecasting impending conditions of the biosphere that would allow advanced decision-making to mitigate dangers, or exploit positive trends. We have developed a software system called the Terrestrial Observation and Prediction System (TOPS) to facilitate rapid analysis of ecosystem states/functions by integrating EOS data with ecosystem models, surface weather observations and weather/climate forecasts. Land products from MODIS (Moderate Resolution Imaging Spectroradiometer) including land cover, albedo, snow, surface temperature, leaf area index are ingested into TOPS for parameterization of models and for verifying model outputs such as snow cover and vegetation phenology. TOPS is programmed to gather data from observing networks such as USDA soil moisture, AMERIFLUX, SNOWTEL to further enhance model predictions. Key technologies enabling TOPS implementation include the ability to understand and process heterogeneous-distributed data sets, automated planning and execution of ecosystem models, causation analysis for understanding model outputs. Current TOPS implementations at local (vineyard) to global scales (global net primary production) can be found at http://www.ntsg.umt.edu/tops.
DE: 1640 Remote sensing
DE: 1655 Water cycles (1836)
DE: 1818 Evapotranspiration
SC: Biogeosciences [B]
MN: 2003 Fall Meeting