HR: 14:40h
AN: G33D-05 INVITED [Abstracts]
TI: Intergration of Hyperspectral data with Airborne and Ground-based Lidar for Paleocave Mapping in the
Franklin Mountains of El Paso, Texas
AU: * Bellian, J A
EM: jerome.bellian@beg.utexas.edu
AF: The Bureau of Economic Geology
Jackson School of Geosciences
The Univeristy of Texas at Austin, University Station, Box X, Austin, TX 78713-1534
United States
AU: Kerans, C
EM: charles.kerans@beg.utexas.edu
AF: Department of Geological Sciences
Jackson School of Geosciences
The Univeristy of Texas at Austin, Geological Sciences Department, Austin, Tx 78712-0254
United States
AU: Beck, R A
EM: RBeck@centralstate.edu
AF: ICWRM
Central State University, P.O. Box 1004, Wilberforce, OH 45384
United States
AU: Lucia, J
EM: Jerry.Lucia@beg.utexas.edu
AF: The Bureau of Economic Geology
Jackson School of Geosciences
The Univeristy of Texas at Austin, University Station, Box X, Austin, TX 78713-1534
United States
AB:
The Franklin Mountains of west Texas contain world-class Ordovician paleocave system exposures. The units of interest are
the El Paso Group (Lower Ordovician) and the Montoya Group (Upper Ordovician) which straddle a continent-wide second order
supersequence and a 33 million year unconfomity. Recent mapping of this outcrop system integrated traditional field mapping
methods with AVIRIS (Visible Infrared Imaging Spectrometer), airborne and ground-based lidar-generated terrain models which
revealed spectral patterns that allow us to delineate the calcite-dolomite transitions in three dimensions. These
mineralogical variances are proposed to be linked to collapse brecciation associated with paleocave-fill deposits. This
study area is important both as a hydrocarbon and water resource perspective as an end member fractured reservoir analog.
The study area is characterized by excellent midlatitude illumination and very good outcrop exposure in steep and varied
topography. Preliminary studies using a full-range portable spectroradiometer (400 to 2,500 nanometers) show that a variety
of calcite- and dolomite-rich rock types can be differentiated using hyperspectral reflectance spectra. Atmospherically
corrected airborne hyperspectral AVIRIS imagery was analyzed over the study area to differentiate lithologies at 20 meter
spectral resolution. The analysis of these data show clear calcite-dolomite transitions associated with undisturbed host
rock to paleocave collapse facies. This research introduces a unique method of field mapping through data integration at the
ten square kilometer scale that is applicable to virtually any field area and is ideal for areas of difficult or restricted
access.
UR: http://www.beg.utexas.edu/staffinfo/bellian01.htm
DE: 5194 Instruments and techniques
SC: Geodesy [G]
MN: Fall Meeting 2005