Thesis (M.S.)--Oregon State University, 1987. / Typescript (photocopy). Includes bibliographical references (leaves 78-79). Also available on the World Wide Web.

Thesis (Ph. D.)--University of Chicago. / A Dissertation, submitted to the faculty of the Ogden Graduate School of Science, in candidacy for the Degree of Doctor of Philosophy, Department of Botany. Includes bibliographical references.

Thesis (M.S.)--Oregon State University, 1986. / Typescript (photocopy). Includes bibliographical references (leaves 34-37). Also available on the World Wide Web.

[No abstract submitted] / Science, Faculty of / Botany, Department of / Zoology, Department of / Graduate

No description available.

Thesis (M.S.)--West Virginia University, 2010. / Title from document title page. Document formatted into pages; contains vi, 26 p. : ill. (some col.), col. maps. Includes abstract. Includes bibliographical references (p. 25-26).

No description available.

Canada has 418 million hectares of forests, representing 10% of the forested land in the world [I]. In 1997, Canada signed the Kyoto Protocol and agreed to cut greenhouse gas emissions by six percent below the 1990 level between 2008 and 2012 [2]. This agreement was ratified in December 2002. It requires Canada to report Canada's sustainable forest resources, including information about forest carbon, afforestation, reforestation, and deforestation (ARD). To fulfill this commitment, effective and accurate measuring tools are needed. One of these tools is satellite remote sensing, a cost-effective way to examine large forested areas in Canada for timely forest information. Historically, the study of forest aboveground carbon was carried out with detailed forest inventory and field sampling from temporary and permanent sample plots, which severely limited the forest area that could be studied. For regional and global scales, it is necessary to use remote sensing for aboveground carbon and ARD mapping due to time and financial constraints. Therefore, the purpose of this research is to develop, implement, and evaluate a computing system that uses multitemporal Landsat satellite images [3] to estimate the Kyoto-Protocol-related forest parameters and create geo-referenced maps, showing the spatial distribution of these parameters in a Geographic Information System (GIs). The new computing system consists of a segment-based and supervised classification engine with feature selection functionality and a Kyoto-Protocol-products estimation unit. The inclusion of the feature selection reduces the large dimensionality of the feature space of multitemporal remote Landsat data sets. Thus, more images could be added into the data sets for analysis. The implementation of the segment-based classifiers provides more accurate forest cover classifications for estimating the Kyoto Protocol products than pixel-based classifiers. It is expected that this approach will be a new addition to the current existing methodologies for supporting Canada's reporting commitments on the sustainability of the forest resources in Canada. This approach can also be used by other countries to monitor Canada's compliance with international agreements.

Thesis (M.A.)--West Virginia University, 2002. / Title from document title page. Document formatted into pages; contains xi, 107 p. : ill. (some col.), maps (some col.). Includes abstract. Includes bibliographical references (p. 100-107).

Thesis (Ph. D.)--Oregon State University, 2003. / Includes maps in pocket. Typescript (photocopy). Includes bibliographical references (leaves 146-166). Also available online.