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GIS, remote sensing and spatial mode...

Zhang, Chuanrong.

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GIS, remote sensing and spatial modeling for conservation of stone forest landscape in Lunan, China.

Record Type:	Electronic resources : Monograph/item
Title/Author:	GIS, remote sensing and spatial modeling for conservation of stone forest landscape in Lunan, China./
Author:	Zhang, Chuanrong.
Description:	160 p.
Notes:	Source: Dissertation Abstracts International, Volume: 65-07, Section: A, page: 2718.
Contained By:	Dissertation Abstracts International65-07A.
Subject:	Geography. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3138583
ISBN:	0496857410

GIS, remote sensing and spatial modeling for conservation of stone forest landscape in Lunan, China.
Zhang, Chuanrong.

GIS, remote sensing and spatial modeling for conservation of stone forest landscape in Lunan, China. - 160 p.

Source: Dissertation Abstracts International, Volume: 65-07, Section: A, page: 2718.

Thesis (Ph.D.)--The University of Wisconsin - Milwaukee, 2004.

The Lunan Stone Forest is the World's premier pinnacle karst landscape, with considerable scientific and cultural importance. Because of its inherent ecological fragility and ongoing human disruption, especially recently burgeoning tourism development, the landscape is stressed and is in danger of being destroyed. Conservation policies have been implemented by the local and national governments, but many problems remain in the national park. For example, there is no accurate detailed map and no computer system to help authorities manage the natural resources. By integrating GIS, remote sensing and spatial modeling this dissertation investigates the issue of landscape conservation and develops some methodologies to assist in management of the natural resources in the national park. Four elements are involved: (1) To help decision-makers and residents understand the scope of resource exploitation and develop appropriate protective strategies, the dissertation documents how the landscape has been changed by human activities over the past 3 decades; (2) To help authorities scientifically designate different levels of protection in the park and to let the public actively participate in conservation decision making, a web-based Spatial Decision Support System for the conservation of the landscape was developed; (3) To make data sharing and integration easy in the future, a GML-based interoperable database for the park was implemented; and (4) To acquire more information and provide the uncertainty information to landscape conservation decision-makers, spatial land use patterns were modeled and the distributional uncertainty of land cover categories was assessed using a triplex Markov chain (TMC) model approach.

ISBN: 0496857410Subjects--Topical Terms:

524010
Geography.

GIS, remote sensing and spatial modeling for conservation of stone forest landscape in Lunan, China.
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300 $a 160 p.
500 $a Source: Dissertation Abstracts International, Volume: 65-07, Section: A, page: 2718.
500 $a Supervisor: Michael J. Day.
502 $a Thesis (Ph.D.)--The University of Wisconsin - Milwaukee, 2004.
520 $a The Lunan Stone Forest is the World's premier pinnacle karst landscape, with considerable scientific and cultural importance. Because of its inherent ecological fragility and ongoing human disruption, especially recently burgeoning tourism development, the landscape is stressed and is in danger of being destroyed. Conservation policies have been implemented by the local and national governments, but many problems remain in the national park. For example, there is no accurate detailed map and no computer system to help authorities manage the natural resources. By integrating GIS, remote sensing and spatial modeling this dissertation investigates the issue of landscape conservation and develops some methodologies to assist in management of the natural resources in the national park. Four elements are involved: (1) To help decision-makers and residents understand the scope of resource exploitation and develop appropriate protective strategies, the dissertation documents how the landscape has been changed by human activities over the past 3 decades; (2) To help authorities scientifically designate different levels of protection in the park and to let the public actively participate in conservation decision making, a web-based Spatial Decision Support System for the conservation of the landscape was developed; (3) To make data sharing and integration easy in the future, a GML-based interoperable database for the park was implemented; and (4) To acquire more information and provide the uncertainty information to landscape conservation decision-makers, spatial land use patterns were modeled and the distributional uncertainty of land cover categories was assessed using a triplex Markov chain (TMC) model approach.
590 $a School code: 0263.
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650 4 $a Remote Sensing. $3 1018559
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710 2 0 $a The University of Wisconsin - Milwaukee. $3 1019345
773 0 $t Dissertation Abstracts International $g 65-07A.
790 1 0 $a Day, Michael J., $e advisor
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