The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON ENVIRONMENT AND DEVELOPMENT
Transactions ID Number: 28-764
Full Name: Eric Harmsen
Position: Professor
Age: ON
Sex: Male
Address: UPRM, Dept. of Agr. Eng., P.O. Box 9030, Mayaguez, PR 00681
Country: PUERTO RICO
Tel: 787 399 6772
Tel prefix: 01
Fax: 787 265 3853
E-mail address: eharmsen@uprm.edu
Other E-mails: harmsen1000@hotmail.com
Title of the Paper: A ground-based method for calibrating remotely sensed surface temperature for use in estimating evapotranspiration
Authors as they appear in the Paper: E. W. Harmsen, V. H. Ramirez Builes, M. D. Dukes, X. Jia, J. E. Gonzalez, L. R. Pérez Alegía
Email addresses of all the authors: eharmsen@uprm.edu, victorhugorb@gmail.com, mddukes@ufl.edu, Xinhua.Jia@ndsu.edu, gonzalez@me.ccny.cuny.edu, luperez@uprm.edu
Number of paper pages: 10
Abstract: A method is presented for estimating hourly actual evapotranspiration from short natural vegetation or agricultural crops. The method, which can be used to calibrate remotely sensed evapotranspiration, consists of equating the ET flux equations based on the generalized Penman-Monteith (GPM) combination method and a humidity gradient (HG) method. By equating the GPM and HG expressions, a single unknown parameter, either the bulk surface resistance (rs) or aerodynamic resistance (ra), can be determined. This paper provides an overview of the technical approach used, and presents results of comparisons between the new method and eddy covariance systems in Florida and Puerto Rico. The new method performed well compared to the eddy covariance systems, and has the advantage of being relatively inexpensive. An example is presented in which the average surface temperature of a grass-covered field, located at the University of Puerto Rico Agricultural Experiment Statio!
n at Rio Piedras, PR (located within the San Juan metropolitan area), obtained by NASA's airborne Advanced Thermal and Land Applications Sensor (ATLAS), was corrected to provide accurate estimates of ET using a flux gradient equation.
Keywords: Evapotranspiration, Penman-Monteith, humidity gradient, eddy covariance, remote sensing
EXTENSION of the file: .pdf
Special (Invited) Session: An Inexpensive Method for Validating Remotely Sensed Evapotranspiration
Organizer of the Session: 603-538
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