HR: 08:40h
AN: H41B-03    [PDF]
TI: Comparison of Evaporative Fractions Estimated with AVHRR and MODIS Sensors over South Florida.
AU: * Venturini, V
EM: venturva@email.uc.edu
AF: Department of Civil and Environmental Engineering, 764 Baldwin Hall University of Cincinnati PO Box 210071, Cincinnati, OH 45221-0071 United States
AU: Bisht, G
EM: bishtg@email.uc.edu
AF: Department of Civil and Environmental Engineering, 764 Baldwin Hall University of Cincinnati PO Box 210071, Cincinnati, OH 45221-0071 United States
AU: Islam, S
AF: Department of Civil and Environmental Engineering, 764 Baldwin Hall University of Cincinnati PO Box 210071, Cincinnati, OH 45221-0071 United States
AU: Jiang, L
EM: Le.Jiang@noaa.gov
AF: IMSG Science Team at NOAA/NESDIS, NOAA Science Center 5200 Auth Rd., Rm 810, Station 8216, Camp Springs, MD 20746 United States
AB: We have developed an evapotranspiration estimation algorithm using primarily remote sensing observations. This algorithm is simple, input-data adaptive and scalable. It derives spatially distributed evaporative fraction by using a contextual interpretation of the Pristley-Taylor equation and a relationship between remotely sensed radiometric temperature and vegetation index. This model has been shown to work well with remotely sensed data from Advanced Very High Resolution Radiometer (AVHRR). To further investigate the applicability of the model to different sensors, we compare and contrast estimates of evaporative fraction from AVHRR and Moderate Resolution Imaging Spectroradiometer (MODIS) over South Florida. Our preliminary results suggest that evaporative fraction obtained from AVHRR and MODIS are comparable for a number of clear and partially cloudy days. In particular, evaporative fraction for two clear days show very good agreement between the sensors in terms of high correlation and low root mean square difference and bias.
DE: 1818 Evapotranspiration
SC: Hydrology [H]
MN: 2003 Fall Meeting