Increased Bias in Evapotranspiration Modeling Due to Weather and Vegetation Indices Data Sources.

MLA

Dhungel, Ramesh, et al. “Increased Bias in Evapotranspiration Modeling Due to Weather and Vegetation Indices Data Sources.” Agronomy Journal, vol. 111, no. 3, May 2019, pp. 1407–24. EBSCOhost, https://doi.org/10.2134/agronj2018.10.0636.

APA

Dhungel, R., Aiken, R., Colaizzi, P. D., Xiaomao Lin, Baumhardt, R. L., Evett, S. R., Brauer, D. K., Marek, G. W., & O’Brien, D. (2019). Increased Bias in Evapotranspiration Modeling Due to Weather and Vegetation Indices Data Sources. Agronomy Journal, 111(3), 1407–1424. https://doi.org/10.2134/agronj2018.10.0636

Chicago

Dhungel, Ramesh, Robert Aiken, Paul D. Colaizzi, Xiaomao Lin, R. Louis Baumhardt, Steven R. Evett, David K. Brauer, Gary W. Marek, and Dan O’Brien. 2019. “Increased Bias in Evapotranspiration Modeling Due to Weather and Vegetation Indices Data Sources.” Agronomy Journal 111 (3): 1407–24. doi:10.2134/agronj2018.10.0636.