Tower_team:
PI:	Kevin King kevin.king@usda.gov - USDA-ARS
DataManager:	Kathryne Rumora kathryne.rumora@usda.gov - USDA-ARS
Lat, Long:	41.7660, -111.8550
Elevation(m):	274.015
Network Affiliations:	AmeriFlux, LTAR
Vegetation IGBP:	CRO (Croplands: Lands covered with temporary crops followed by harvest and a bare soil period (e.g., single and multiple cropping systems). Note that perennial woody crops will be classified as the appropriate forest or shrub land cover type.)
Climate Koeppen:	Dfb (Warm Summer Continental: significant precipitation in all seasons )
Mean Annual Temp (°C):	9.55
Mean Annual Precip. (mm):	975.36
Flux Species Measured:	CO2, H2O
Years Data Collected:	2020 - Present
Years Data Available:	No data available
Data Use Policy:	AmeriFlux Legacy Policy
Description:	Privately owned agricutural crop production field under corn-soybean-wheat, no-tillage management.
URL:	—
Research Topics:	Alternative vs. Aspirational agricultural management practices
Acknowledgment:	This research was a contribution from the Long-Term Agroecosystem Research (LTAR) network. LTAR is supported by the United States Department of Agriculture.

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Hashimoto, H., Wang, W., Park, T., Khajehei, S., Ichii, K., Michaelis, A.R., Guzman, A., Nemani, R.R., Torn, M., Yi, K., Brosnan, I.G. (in preparation). Subsets of geostationary satellite data over international observing network sites for studying the diurnal dynamics of energy, carbon, and water cycles.

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GeoNEX Surface Reflectance for Vegetation Indices (NDVI & NIRv)

Wang, W., Wang, Y., Lyapustin, A., Hashimoto, H., Park, T., Michaelis, A., & Nemani, R. (2022). A novel atmospheric correction algorithm to exploit the diurnal variability in hypertemporal geostationary observations. Remote Sensing, 14(4), 964.

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Li, R., Wang, D., Wang, W., & Nemani, R. (2023). A GeoNEX-based high-spatiotemporal-resolution product of land surface downward shortwave radiation and photosynthetically active radiation. Earth System Science Data, 15(3), 1419-1436.

GeoNEX Land Surface Temperature (LST):

Jia, A., Liang, S., & Wang, D. (2022). Generating a 2-km, all-sky, hourly land surface temperature product from Advanced Baseline Imager data. Remote Sensing of Environment, 278, 113105.

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US-OK2: ECB: Site A3 - South Field

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