HR: 1340h
AN: SF43A-0789    [Abstracts]
TI: Processing and Correcting Master Images to Analyze and map Metamorphic Core Complexes in the Southern Basin and Range Province
AU: * Sanchez, S O
EM: ssanchez@utep.edu
AF: University of Texas at El Paso, 500 West University Ave. Geological Sciences, El Paso, Tx 79968 United States
AB: Metamorphic core complexes (MCCs) have been of great interest to geologists and geophysicists and our goal is to facilitate integrated studies of these intriguing features. Our specific targets are the exposed Whipple Mountains in Southeastern California and the spectrally similar Mohave Mountains in Western Arizona. These two ranges were selected for study using the MODIS/ASTER airborne sensor also known as MASTER, and NASA/JPL acquired the data for us. These two ranges were chosen because of their close proximity to each other in the imagery. This sensor was chosen because it has a good resolution (15m) and 50 different bands ranging from the visible to thermal infrared. However, because it is flown on a light aircraft its flight line patterns and photogrammetric distortions make it hard to georeference and mosaic with other images from adjacent flight lines. The distortions become misalignments of images during mosaicing. This project involved two efforts: 1) developing a method for correcting and processing MASTER multispectral images; and 2) using those images to analyze and map MCCs in the southern Basin and Range Province. Standard image processing techniques available within the ENVI software package were applied to this imagery to geometrically correct, mosaic, and spectrally process it in order to locate defining characteristics of MCCs that are mappable with the imagery. These techniques include the use of warping, histogram matching, mosaicing, classification, Principal Component Analysis, decorrelation stretching, Minimum Noise Fraction Transformation, Pixel Purity Index, and end member analysis.
DE: 8040 Remote sensing
DE: 1299 General or miscellaneous
SC: Special Focus: Advances in Data Acquisition, Management, Analysis and Display [SF]
MN: 2004 AGU Fall Meeting