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Evaluating Houston area neotectonics...

University of Houston.

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Evaluating Houston area neotectonics using GIS and remote sensing techniques.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Evaluating Houston area neotectonics using GIS and remote sensing techniques./
Author:	Engelkemeir, Richard.
Description:	175 p.
Notes:	Source: Dissertation Abstracts International, Volume: 69-05, Section: B, page: 2864.
Contained By:	Dissertation Abstracts International69-05B.
Subject:	Geology. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3313491
ISBN:	9780549624486

Evaluating Houston area neotectonics using GIS and remote sensing techniques.
Engelkemeir, Richard.

Evaluating Houston area neotectonics using GIS and remote sensing techniques. - 175 p.

Source: Dissertation Abstracts International, Volume: 69-05, Section: B, page: 2864.

Thesis (Ph.D.)--University of Houston, 2008.

ii. Shallow seismic data indicated possibly disturbed ground in the vicinity of the faults.

ISBN: 9780549624486Subjects--Topical Terms:

516570
Geology.

Evaluating Houston area neotectonics using GIS and remote sensing techniques.
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100 1 $a Engelkemeir, Richard. $3 1035297
245 1 0 $a Evaluating Houston area neotectonics using GIS and remote sensing techniques.
300 $a 175 p.
500 $a Source: Dissertation Abstracts International, Volume: 69-05, Section: B, page: 2864.
502 $a Thesis (Ph.D.)--University of Houston, 2008.
520 $a ii. Shallow seismic data indicated possibly disturbed ground in the vicinity of the faults.
520 $a iii. GPR data also indicated possibly disturbed ground near faults.
520 $a iv. GPS data for the period from 1995 to 2005 showed ongoing subsidence in northwestern Houston and possible horizontal displacement towards the Gulf of Mexico.
520 $a Over 300 active faults intersect the Earth's surface in the Houston Metropolitan area. These surface faults have caused damage to roads, pipelines and buildings. Most of the faults form part of a regional down to the basin fault system along the northern coast of the Gulf of Mexico. In this study four kinds of information were used to improve characterization of the fault system: (i) lidar data, (ii) Ground Penetrating Radar (GPR), (iii) shallow seismic data, and (iv)GPS data.
520 $a i. Lidar data acquired in 2001 were used to remap the active faults of the area. A grid refinement algorithm for processing the raw lidar data to generate a 1.5 meter resolution DEM was developed. Spatial resolution of the scarps on the refined grids was improved and in some cases revealed features that were not observed on the unrefined DEM. Scarp heights were computed using the 2001 and a 1996 DEM. Hill-shading proved the best method for selecting faults for examination in the field.
590 $a School code: 0087.
650 4 $a Geology. $3 516570
650 4 $a Remote Sensing. $3 1018559
690 $a 0372
690 $a 0799
710 2 $a University of Houston. $3 1019266
773 0 $t Dissertation Abstracts International $g 69-05B.
790 $a 0087
791 $a Ph.D.
792 $a 2008
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3313491