Applications of digital terrain data to multisensor image analysis
Some of the key factors for detection of facies changes in sedimentary environments, such as changes in surface composition and texture, are parameters that can be detected using the remote sensing techniques presently available. For example, multipolarization aircraft synthetic aperture radar (SAR), Landsat 4 Thematic Mapper (TM), and airborne Thermal Infrared Multispectral Scanner (TIMS) images were acquired over the Deadman Butte area of the Wind River basin, Wyoming. The SAR images were acquired at L-band (wavelength = 24.6 cm) simultaneously in 4 polarization states (HH, HV, VV, VH). The 6 visible and near infrared TM bands range in wavelength from 0.45 to 2.35 ..mu..m, and the 6 TIMS bandpasses range from 8 to 12 ..mu..m. Thus, reflected and emitted radiation, and radar backscatter from geologic targets can be simultaneously analyzed using a coregistered image data set. In this way, lithologic variations can be mapped based on compositional information derived from the TM and TIMS data and detailed surface scattering information derived from the multipolarization SAR data. In addition, coregistration of the image data set to digital terrain data results in the ability to generate a stratigraphic column based on the remote sensing data, and to perform detailed structural analyses.
- Research Organization:
- California Institute of Technology Jet Propulsion Lab., Pasadena, CA
- OSTI ID:
- 5787965
- Report Number(s):
- CONF-850322-
- Journal Information:
- Am. Assoc. Pet. Geol., Bull.; (United States), Journal Name: Am. Assoc. Pet. Geol., Bull.; (United States) Vol. 69:2; ISSN AAPGB
- Country of Publication:
- United States
- Language:
- English
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