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The application of geographic inform...

Driese, Kenneth L.

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The application of geographic information science to environmental research.

Record Type:	Electronic resources : Monograph/item
Title/Author:	The application of geographic information science to environmental research./
Author:	Driese, Kenneth L.
Description:	184 p.
Notes:	Source: Dissertation Abstracts International, Volume: 65-05, Section: B, page: 2177.
Contained By:	Dissertation Abstracts International65-05B.
Subject:	Biology, Botany. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3132819
ISBN:	0496800590

The application of geographic information science to environmental research.
Driese, Kenneth L.

The application of geographic information science to environmental research. - 184 p.

Source: Dissertation Abstracts International, Volume: 65-05, Section: B, page: 2177.

Thesis (Ph.D.)--University of Wyoming, 2004.

Geographic Information Science (GISci) in general, and land cover mapping in particular are important components of many environmental studies including, but not limited to, animal habitat modeling, biogeography, conservation biology, biogeochemistry, hydrologic modeling and global change studies. This dissertation explores methods for integrating remotely sensed satellite imagery, GPS (Global Positioning System) and environmental data to create regional land cover maps and their application to environmental questions. Specifically, a statewide land cover map of Wyoming created for the Wyoming Gap Analysis Program is described and used to explore biogeographic boundaries in the state. A detailed map of Costa Rica is created by integrating remotely sensed data with other geospatial information for predicting gas flux from tropical soils. A map of dominant deciduous tree species is developed using multitemporal Landsat TM data and other information in the Catskills of New York to explore biogeochemical controls on water quality. An experiment exploring the relationship between sampling effort and sample size highlights issues associated with assessing the thematic accuracy of large area maps. All of these studies demonstrate the strengths of GISci for supporting environmental research while also revealing fundamental limitations of spectral data for mapping, especially in large map domains. These fundamental limitations are discussed, including spectral ambiguity and issues associated with modeling land cover when environmental envelopes of classes overlap or when the legacy of past land use obscures environmental relationships. Together, the papers included in this dissertation represent an exploration of the application of land cover data to environmental questions.

ISBN: 0496800590Subjects--Topical Terms:

1017825
Biology, Botany.

The application of geographic information science to environmental research.
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502 $a Thesis (Ph.D.)--University of Wyoming, 2004.
520 $a Geographic Information Science (GISci) in general, and land cover mapping in particular are important components of many environmental studies including, but not limited to, animal habitat modeling, biogeography, conservation biology, biogeochemistry, hydrologic modeling and global change studies. This dissertation explores methods for integrating remotely sensed satellite imagery, GPS (Global Positioning System) and environmental data to create regional land cover maps and their application to environmental questions. Specifically, a statewide land cover map of Wyoming created for the Wyoming Gap Analysis Program is described and used to explore biogeographic boundaries in the state. A detailed map of Costa Rica is created by integrating remotely sensed data with other geospatial information for predicting gas flux from tropical soils. A map of dominant deciduous tree species is developed using multitemporal Landsat TM data and other information in the Catskills of New York to explore biogeochemical controls on water quality. An experiment exploring the relationship between sampling effort and sample size highlights issues associated with assessing the thematic accuracy of large area maps. All of these studies demonstrate the strengths of GISci for supporting environmental research while also revealing fundamental limitations of spectral data for mapping, especially in large map domains. These fundamental limitations are discussed, including spectral ambiguity and issues associated with modeling land cover when environmental envelopes of classes overlap or when the legacy of past land use obscures environmental relationships. Together, the papers included in this dissertation represent an exploration of the application of land cover data to environmental questions.
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