This dissertation presents a method to estimate Evapotranspiration (ET) based on the Penman-Monteith equation using only remotely sensed data to enable global application. The work illustrates how actual ET can be estimated reasonably well with the use of only remotely sensed data as model inputs as compared to those reported by the NASA's MODIS ET study, which uses in-situ observations from meteorological stations. It is shown that in this method, key model inputs are Temperature and Humidity, which need to be estimated reasonably well to result in accurate estimations of ET.
Roozbeh Raoufi is a PhD candidate in Department of Civil and Environmental Engineering at Northeastern University, under his advisor, Associate Professor Edward Beighley. His research focus on hydrological modeling and remote sensing. His work has been published in peer reviewed journals and presented in various conferences. Raoufi holds a Bachelor of Science degree from University of Tehran, Iran, and a Master of Science degree from University of New Mexico.