===================================
EOS 757: Techniques and Algorithms in Earth
Observing and Remote Sensing
This course focuses on the retrieval, analysis and application of geophysical parameters derived from remotely sensed data for Earth system science research. Topics will include visible and infrared, passive and active microwave remote sensing, heritage sensors, sensor calibration, retrieval algorithms for geophysical parameters, validation and error estimates. Techniques for data analysis and applications of remote sensing data will be discussed. We will focus on geophysical parameters including rain and cloud, sea surface wind and temperature, soil moisture, vegetation, snow, and sea ice. We will discuss and make use of data sets derived from heritage sensors, and related Earth system science research. Outside experts will be invited to give seminars as appropriate.
Equipment: The course will make use of computer platforms in the CSI computer lab.
Grade: 70% will be based on 1) an original research project report of 20+ pages double spaced, and 2) 30% on class assignment, class participation and presentation of research progress.
Prerequisites: CSI/EOS 753 or Permission of Instructor
Course Material/text: Student will make extensive use of the WWW, software for satellite tracking, radiative transfer computation, visualization and browsing tools for TRMM products.
Kidder, S and T. Vonder Haar, 1995: Satellite Meteorology
Simpson, J. et al., 1988: Tropical Rainfall Measuring Mission, report of the science steering group.
Appropriate journal articles.
Friday
Science
and Technology I: Rm 206