Characterization and Improvement of EOS Land Products using Measurements at AMERIFLUX Grassland and Wheat Sites in the ARM/CART Region
Project Principal Investigators:
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Betty Walter Shea & Shashi Verma |
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School of Natural Resource Sciences |
Department of Plant Biology |
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University of Nebraska |
Carnegie Institute of Washington |
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Lincoln, Nebraska |
Stanford, California |
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NASA/Goddard Space Flight Center |
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Greenbelt, Maryland |
NREL Investigator:
Niall HananAbstract:
Working with PI's Elizabeth Walter-Shea and Shashi Verma (University of Nebraska, Lincoln) and Joe Berry (Carnegie Institute of Washington, Stanford) this project is investigating the application of the NASA Earth resource satellite Terra (EOS-AM) to modeling land surface carbon, water and energy dynamics. The study is based at two field sites (wheat and tall-grass prairie) in northern Oklahoma. The land surface model SiB2 is being used to simulate measured fluxes and the fluxes inverted to estimate how incident radiation is intercepted and used by the vegetation canopies. This "canopy light-use factor" results from the complex interaction of incident radiation with canopy geometry and canopy physiology, but is a quantity that is amenable to remote measurement from satellite platforms. The study is designed to explore futher the relationships between the canopy light-use parameter and remote measurements of surface reflectance.
Links:
Oklahoma EOS Validation Study: Characterization and Improvement of EOS Land Products
Oklahoma Ameriflux sites: Carbon dioxide and Energy Fluxes in Native Tallgrass Prairie and Wheat Ecosystems
Data:
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Continuous (filled) meteorological data for Oklahoma wheat and tallgrass sites (okfill.dat, 9.1MB)
Descriptions of meteorological variables and units in each column of filled data-set (fill.col, 4KB)
Flags describing source (measured or fill-source) of each data point in filled data set (okflag.dat, 4.4MB)
Average root mean square error estimating target (T) variable using four primary fill sources (S), after offset and slope factors applied (rmsstats.out, 2KB)