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Surface reflected global positioning...

Grant, Michael S.

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Surface reflected global positioning system signals for terrain classification.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Surface reflected global positioning system signals for terrain classification./
Author:	Grant, Michael S.
Description:	257 p.
Notes:	Adviser: Scott T. Acton.
Contained By:	Dissertation Abstracts International67-07B.
Subject:	Engineering, Electronics and Electrical. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3225963
ISBN:	9780542774560

Surface reflected global positioning system signals for terrain classification.
Grant, Michael S.

Surface reflected global positioning system signals for terrain classification. - 257 p.

Adviser: Scott T. Acton.

Thesis (Ph.D.)--University of Virginia, 2006.

Results from this work have broad applicability in areas that include terrain and land use mapping, flood and natural disaster emergency management, precision agriculture in arid regions, and regional hydrology, among others.

ISBN: 9780542774560Subjects--Topical Terms:

626636
Engineering, Electronics and Electrical.

Surface reflected global positioning system signals for terrain classification.
LDR:03474nam 2200325 a 45 001 965437
005 20110906
008 110906s2006 eng d
020 $a 9780542774560
035 $a (UMI)AAI3225963
035 $a AAI3225963
040 $a UMI $c UMI
100 1 $a Grant, Michael S. $3 1288213
245 1 0 $a Surface reflected global positioning system signals for terrain classification.
300 $a 257 p.
500 $a Adviser: Scott T. Acton.
500 $a Source: Dissertation Abstracts International, Volume: 67-07, Section: B, page: 3992.
502 $a Thesis (Ph.D.)--University of Virginia, 2006.
520 $a Results from this work have broad applicability in areas that include terrain and land use mapping, flood and natural disaster emergency management, precision agriculture in arid regions, and regional hydrology, among others.
520 $a In this dissertation, we present a novel use of the Global Positioning System (GPS) signal for terrain classification. In contrast to current methods that rely on visible or near-infrared wavelengths, this new method utilizes the surface-reflected GPS satellite signal to identify terrain or land cover classes having a surface moisture component. The amplitude of the reflected L-band (1.57542 GHz) GPS signal is strongly influenced by the amount of moisture in the top 2--5 cm of the land surface, and is particularly sensitive to top-surface water features. This classification method leverages the existing constellation of GPS satellites, similar to a forward-scattered bistatic radar system, with the satellites serving as the transmitter and an airborne GPS Remote Sensor (GPSRS) as the signal receiver.
520 $a Two closely-related terrain classification approaches are presented which utilize characteristics of the surface-reflected GPS signal. The first method requires only GPS signal data, while the second method combines GPS signal data with imagery. GPS-derived signal measures were shown to be effective as terrain classification features, particularly for data acquired after precipitation events. Combining surface-reflected GPS data with visible wavelength imagery was shown to significantly increase the classification accuracy of visibly identifiable landcover/terrain classes as compared to utilizing image data alone.
520 $a This dissertation also includes development of a signal calibration method which ties the ratio of reflected-to-direct satellite signals to surface reflectivity---a geophysical parameter common to all remotely sensed surfaces---to allow quantitative comparison of temporally and spatially separated data sets. Calibration includes an approach to mitigating the effect of extraneous signal reflections ("multipath") in the direct satellite signal, which introduces errors into the surface reflectivity calculation. Calibration and multipath mitigation also enable traditional soil moisture retrieval via a physical surface model. Additionally, functional simulation and mathematical modeling of the current-generation, NASA-Langley GPS Remote Sensor, utilized for this research, directly supported development of the calibration and multipath mitigation techniques.
590 $a School code: 0246.
650 4 $a Engineering, Electronics and Electrical. $3 626636
650 4 $a Geotechnology. $3 1018558
650 4 $a Remote Sensing. $3 1018559
690 $a 0428
690 $a 0544
690 $a 0799
710 2 0 $a University of Virginia. $3 645578
773 0 $t Dissertation Abstracts International $g 67-07B.
790 $a 0246
790 1 0 $a Acton, Scott T., $e advisor
791 $a Ph.D.
792 $a 2006
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3225963