9 Undergraduate Research Session (Posters)
Tuesday, 1 April 2003
8:30 AM - 5:30 PM
VOLCANIC HAZARDS ASSESSMENT USING REMOTE SENSING DATA FROM THE TRES VIRGENES VOLCANIC COMPLEX, BAJA CALIFORNIA SUR, MEXICO
Paper number: 9-14
Program: THEME SESSIONS
Time: 8:30 AM – 5:30 PM
Authors
-
Joann M. StockCalifornia Institute of Technology, Pasadena, CA
Abstract
The MASTER (Modis-Aster) airborne simulator collected overflight data for the TVVC. The data set includes 50 spectral bands in the visible through infrared wavelengths and high spatial resolution (~5 meter pixel size). By assigning wavelengths to different colors in a spectral image, rocks that look the same to the naked eye show up in different colors according to their composition. The data was processed using ENVI software, which allowed to overlap flight lines to form mosaic images. Band ratios are typically used to enhance the spectral differences between bands. By dividing a spectral band by another it produces an image that provides relative band intensities. The band ratios commonly used in this project were 2/13, 5/13, 8/21 RGB. Supervised classification was used to cluster pixels in a data set into classes corresponding to user defined training classes. These training sites were then defined as multiple irregular polygons. Michael Sawlan’s geologic map of the TVVC was used to determine what kind of rocks would be classified and where they could be found. By placing polygons over a designated area one would then match the region to Sawlan’s map, and give the region the indicated lithologic name. ENVI would then assign every pixel to its corresponding class. After a couple different regions of interest were set up, a classified image was created and a new geological map based on the rock’s spectral signature was created.