HR: 09:15h
AN: SF51A-06    [Abstracts]
TI: Making Sense of Large, Complex Datasets: Using MISR's Multiangle and Multispectral Information to Detect Clouds and Aerosols
AU: * Garay, M J
EM: garay@atmos.ucla.edu
AF: Department of Atmospheric & Oceanic Sciences, University of California, Los Angeles, Box 951565 7127 Math Sciences Bldg., Los Angeles, CA 90095-1565 United States
AU: * Garay, M J
EM: garay@atmos.ucla.edu
AF: Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Drive, Pasadena, CA 91109 United States
AU: Mazzoni, D
EM: Dominic.Mazzoni@jpl.nasa.gov
AF: Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Drive, Pasadena, CA 91109 United States
AB: Traditional remote sensing is performed using a single, nadir-pointing instrument. Detection of cloud and/or aerosols from such an instrument takes advantage of multiple spectral bands and physically or empirically based thresholds using a number of these bands. The Multiangle Imaging SpectroRadiometer (MISR) instrument currently operational on the Terra satellite offers a unique perspective by obtaining radiance data in four spectral bands using nine cameras with viewing directions ranging from 0 to 70.5 degrees. The MISR dataset presents a challenge to scientists, not only because it requires a shift from the traditional, downward-directed way of viewing the world, but also because, in order to take advantage of the full power of the instrument, new ways must be found to combine and interpret the data. We will describe a variety of methods that have been developed to detect clouds and aerosols using MISR. These methods range from traditional, threshold approaches to techniques which geometrically combine information from MISR's cameras to provide a quasi-three-dimensional view of the world. Most powerfully, machine learning techniques have been applied, specifically Support Vector Machines (SVMs), a cousin to neural networks, that show immense promise in exploiting the full potential of the MISR instrument.
DE: 3360 Remote sensing
DE: 3394 Instruments and techniques
SC: Special Focus: Advances in Data Acquisition, Management, Analysis and Display [SF]
MN: 2004 AGU Fall Meeting