Estimating cotton evapotranspiration crop coefficients with a multispectral vegetation index
By D. Hunsaker, P. Pinter, E. Barnes, B. Kimball. Irrigation science, 2003
223 citations recorded by the source corpus.
Subfields: Ecology, Global and Planetary Change, Soil Science
View Paper: https://www.semanticscholar.org/paper/d4279e3cdfbee514d62e63eebcc9c8e0c4efeaf7
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In Ecology
In Global and Planetary Change
In Soil Science
Citations in the corpus
- Estimating crop coefficients from fraction of ground cover and height (2009, methodology): “…FAO style Kcb curves in a dual Kc model include Hunsaker (1999), Tolk and Howell (2001), de Medeiros et al. (2001), Ringersma and Sikking (2001), Hunsaker et al. (2002, 2003, 2005), Pereira et al. (2003), Howell et al. (2004), Mutziger et al. (2005), Allen et al. (2005a, 2007a), Paço et al.…”
- Combining FAO-56 model and ground-based remote sensing to estimate water consumptions of wheat crops in a semi-arid region (2007, methodology): “As reported in Hunsaker et al. (2003), Bausch and Neale (1989), Bausch (1993, 1995) futher investigated those relationships and developed some algorithms for irrigation scheduling and for good estimating water use of the corn.”
- Advanced Monitoring and Management Systems for Improving Sustainability in Precision Irrigation (2017, unknown): “Remote sensing provides a means of overcoming the shortcomings of the FAO-PM crop coefficient approach of estimating crop ET by providing real-time feedback on daily crop water use as influenced by actual crop canopy dynamics, local climatic conditions and field spatial variability [68].”
- Wheat basal crop coefficients determined by normalized difference vegetation index (2005, methodology): “Derivation was accomplished by back-calculating a Kcb value for each interval based on the ‘‘known’’ value for the total ETc during the interval from the soil water balance, a methodology similar to that used by Hunsaker et al. (2003).”