Fieldsite

Focus

United States: Nebraska: Mead - irrigated continuous maize site

Latitude: 41.1651
Longitude: -96.4766

 

Hercules Remote Sensing Vehicle, Mead Irrigated Maize Site
Hercules Remote Sensing Vehicle, Mead Irrigated Maize Site

 

  • Network: AmeriFlux
  • Principal investigator: John Gamon
  • PI-affiliated institution: University of Nebraska, Lincoln
  • Primary IGBP ecosystem type: Croplands
  • Dominant plant functional type: Broad-leaf crops
  • Recent and historic disturbance and management events that may affect this site:
    • Agriculture: Agricultural management of any kind, such as cultivation (including tillage, plowing, or discing), harvest, irrigation, pesticides, planting, or liming
  • Flux data collection:
    • Start date: April 2001
    • End date: Ongoing
  • Flux methods:
    • Chambers
    • Eddy Covariance
    • Hercules Remote Sensing Vehicle
  • Optical data collection:
    • Start date: June 2001
    • End date: Ongoing
  • Data collection period: Continuous operation: Variable collected continuously with the reported method.
  • Data scale: Stand
  • Collection methods: Tower, Airborne, Data from all-terrain motorized remote sensing vehicle
  • Types of data collected: Fluxes, reflectance
  • Publications:
    • Gitelson, Anatoly A., Galina P. Keydan, and Mark N. Merzlyak. "Three-band model for noninvasive estimation of chlorophyll, carotenoids, and anthocyanin contents in higher plant leaves." Geophysical Research Letters 33, no. 11 (2006).
    • Gitelson, Anatoly A., Yi Peng, Jeffery G. Masek, Donald C. Rundquist, Shashi Verma, Andrew Suyker, John M. Baker, Jerry L. Hatfield, and Tilden Meyers. "Remote estimation of crop gross primary production with Landsat data." Remote Sensing of Environment 121 (2012): 404-414.
    • Peng, Yi, and Anatoly A. Gitelson. "Application of chlorophyll-related vegetation indices for remote estimation of maize productivity." Agricultural and Forest Meteorology 151, no. 9 (2011): 1267-1276.
    • Gitelson, A. A., R. Stark, U. Grits, D. Rundquist, Y. Kaufman, and D. Derry. "Vegetation and soil lines in visible spectral space: a concept and technique for remote estimation of vegetation fraction." International Journal of Remote Sensing 23, no. 13 (2002): 2537-2562.

External homepage: https://ameriflux.lbl.gov/sites/siteinfo/US-Ne1

Data download: https://www.osti.gov/dataexplorer/biblio/dataset/1246084