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Mapping and modeling the urban lands...

The University of North Carolina at Chapel Hill., Geography.

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Mapping and modeling the urban landscape in Bangkok, Thailand: Physical-spectral-spatial relations of population-environmental interactions.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Mapping and modeling the urban landscape in Bangkok, Thailand: Physical-spectral-spatial relations of population-environmental interactions./
Author:	Shao, Yang.
Description:	169 p.
Notes:	Adviser: Stephen J. Walsh.
Contained By:	Dissertation Abstracts International68-06A.
Subject:	Geography. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3272741
ISBN:	9780549126676

Mapping and modeling the urban landscape in Bangkok, Thailand: Physical-spectral-spatial relations of population-environmental interactions.
Shao, Yang.

Mapping and modeling the urban landscape in Bangkok, Thailand: Physical-spectral-spatial relations of population-environmental interactions. - 169 p.

Adviser: Stephen J. Walsh.

Thesis (Ph.D.)--The University of North Carolina at Chapel Hill, 2007.

This research focuses on the application of remote sensing, geographic information systems, statistical modeling, and spatial analysis to examine the dynamics of urban land cover, urban structure, and population-environment interactions in Bangkok, Thailand, with an emphasis on rural-to-urban migration from rural Nang Rong District, Northeast Thailand to the primate city of Bangkok. The dissertation consists of four main sections: (1) development of remote sensing image classification and change-detection methods for characterizing imperviousness for Bangkok, Thailand from 1993-2002; (2) development of 3-D urban mapping methods, using high spatial resolution IKONOS satellite images, to assess high-rises and other urban structures; (3) assessment of urban spatial structure from 2-D and 3-D perspectives; and (4) an analysis of the spatial clustering of migrants from Nang Rong District in Bangkok and the neighborhood environments of migrants' locations.

ISBN: 9780549126676Subjects--Topical Terms:

524010
Geography.

Mapping and modeling the urban landscape in Bangkok, Thailand: Physical-spectral-spatial relations of population-environmental interactions.
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035 $a (UMI)AAI3272741
035 $a AAI3272741
040 $a UMI $c UMI
100 1 $a Shao, Yang. $3 1022882
245 1 0 $a Mapping and modeling the urban landscape in Bangkok, Thailand: Physical-spectral-spatial relations of population-environmental interactions.
300 $a 169 p.
500 $a Adviser: Stephen J. Walsh.
500 $a Source: Dissertation Abstracts International, Volume: 68-06, Section: A, page: 2598.
502 $a Thesis (Ph.D.)--The University of North Carolina at Chapel Hill, 2007.
520 $a This research focuses on the application of remote sensing, geographic information systems, statistical modeling, and spatial analysis to examine the dynamics of urban land cover, urban structure, and population-environment interactions in Bangkok, Thailand, with an emphasis on rural-to-urban migration from rural Nang Rong District, Northeast Thailand to the primate city of Bangkok. The dissertation consists of four main sections: (1) development of remote sensing image classification and change-detection methods for characterizing imperviousness for Bangkok, Thailand from 1993-2002; (2) development of 3-D urban mapping methods, using high spatial resolution IKONOS satellite images, to assess high-rises and other urban structures; (3) assessment of urban spatial structure from 2-D and 3-D perspectives; and (4) an analysis of the spatial clustering of migrants from Nang Rong District in Bangkok and the neighborhood environments of migrants' locations.
520 $a Techniques are developed to improve the accuracy of the neural network classification approach for the analysis of remote sensing data, with an emphasis on the spectral unmixing problem. The 3-D building heights are derived using the shadow information on the high-resolution IKONOS image. The results from the 2-D and 3-D mapping are further examined to assess urban structure and urban feature identification. This research contributes to image processing of remotely-sensed images and urban studies. The rural-urban migration process and migrants' settlement patterns are examined using spatial statistics, GIS, and remote sensing perspectives. The results show that migrants' spatial clustering in urban space is associated with the source village and a number of socio-demographic variables. In addition, the migrants' neighborhood environments in urban setting are modeled using a set of geographic and socio-demographic variables, and the results are scale-dependent.
590 $a School code: 0153.
650 4 $a Geography. $3 524010
650 4 $a Remote Sensing. $3 1018559
690 $a 0366
690 $a 0799
710 2 0 $a The University of North Carolina at Chapel Hill. $b Geography. $3 1022881
773 0 $t Dissertation Abstracts International $g 68-06A.
790 $a 0153
790 1 0 $a Fraser, James C. $e committee member
790 1 0 $a Moody, Aaron $e committee member
790 1 0 $a Rindfuss, Ronald R. $e committee member
790 1 0 $a Song, Conghe $e committee member
790 1 0 $a Walsh, Stephen J., $e advisor
791 $a Ph.D.
792 $a 2007
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3272741