SEARCH

SEARCH BY CITATION

Literature Cited

  • Allen, R., L. Pereira, D. Raes, and M. Smith, 1998. Crop Evapotranpiration: Guidelines for Computing Crop Water Requirements, Irrigation and Drainage Paper No. 56, Food and Agriculture Organization of the United Nations, Rome, Italy, 300 pp.
  • Allen, R.G., B. Bennett, W. Kramber, J. Huntington, J. Kjaersgaard, A. Kilic, C. Kelly, and R. Trezza, 2013a. Automated Calibration of the METRIC-Landsat Evapotranspiration Process. Journal of the American Water Resources Association, 49(3):563-576.
  • Allen, R.G., M. Tasumi, and R. Trezza, 2007. Satellite-Based Energy Balance for Mapping Evapotranspiration With Internalized Calibration (METRIC) – Model. Journal of Irrigation and Drainage Engineering 133(4):380-394.
  • Allen, R.G., R. Trezza, A. Kilic, M. Tasumi, and H. Li, 2013b. Sensitivity of Landsat-Scale Energy Balance to Aerodynamic Variability in Mountains and Complex Terrain. Journal of the American Water Resources Association, 49(3):592-604.
  • Anderson, M., R. Allen, A. Morse, and W. Kustas, 2012. Use of Landsat Thermal Imagery in Monitoring Evapotranspiration and Managing Water Resources. Remote Sensing of Environment 122:50-65, doi: 10.1016/j.rse.2011.08.025.
  • ASCE-EWRI (American Society of Civil Engineers, Environmental and Water Resources Institute), 2005. The ASCE Standardized Reference Evapotranspiration Equation. ASCE-EWRI Standardization of Reference Evapotranspiration Task Comm. Report, ASCE Bookstore, ISBN 078440805, Stock Number 40805, Reston, Virginia, 216 pp.
  • Beamer, J.P., J.L. Huntington, C.G. Morton, and G.M Pohll, 2013. Estimating Annual Groundwater Evapotranspiration from Phreatophytes in the Great Basin Using Landsat and Flux Tower Measurements. Journal of the American Water Resources Association, 49(3):518-533.
  • Burkhalter, J.P., T.C. Martin, R.G. Allen, J. Kjaersgaard, E. Wilson, R. Alvarado, and J.S. Polly, 2013. Estimating Crop Water Use via Remote Sensing Techniques vs. Conventional Methods in the South Platte River Basin, Colorado. Journal of the American Water Resources Association,49(3):498-517.
  • Glen, E., C. Neale, D. Hunsaker, and P. Nagler, 2011. Vegetation Index-Based Crop Coefficients to Estimate Evapotranspiration by Remote Sensing in Agricultural and Natural Ecosystems. Hydrological Processes 25:4050-4062.
  • Jordan, D.L. and P. Barroll, 2013. Mult-Decadal Remote-Sensing Analysis of Irrigated Areas in the Lower Rio Grande Valley, New Mexico. Journal of the American Water Resources Association, 49(3):484-497.
  • Kalma, J., T. McVicar, and M. McCabe, 2008. Estimating Land Surface Evaporation: A Review of Methods Using Remotely Sensed Surface Temperature Data. Surveys in Geophysics 29(4–5):421-469, doi: 10.1007/s10712-008-9037-z
  • Morton, C.G., J.L. Huntington, G.M. Pohll, R.G. Allen, K.C. McGwire, and S.D. Bassett, 2013. Assessing Calibration Uncertainty and Automation for Estimating Evapotranspiration from Agricultural Areas Using METRIC. Journal of the American Water Resources Association, 49(3):549-562.
  • Nagler, P., 2011. The Role of Remote Sensing Observations and Models in Hydrology: The Science of Evapotranspiration. Hydrologic Processes 24:3977-3978, doi: 1-.1002/hyp. 8436.
  • Nagler, P. and E. Glenn, 2013. Tamarix and Diorhabda Leaf Beetle Interactions: Implications for Tamarix Water Use and Riparian Habitat. Journal of the American Water Resources Association, 49(3):534-548.
  • Senay, G.B., S. Bohms, R.K. Singh, P.H. Gowda, N.M. Velpuri, H. Alemu, and J.P. Verdin, 2013. Operational Evapotranspiration Mapping Using Remote Sensing and Weather Datasets: A New Parameterization for the SSEB Approach. Journal of the American Water Resources Association, 49(3):577-591.
  • Tasumi, M., R. Trezza, R.G. Allen, and J.L. Wright, 2005. Operational Aspects of Satellite-Based Energy Balance Models for Irrigated Crops in the Semi-Arid U.S. Journal of Irrigation and Drainage Systems 19:355-376.