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Quantifying Percent-Cover in Prescott National Forest, Arizona; Through the Integration of Landsat Imagery, Vegetation Indices, and Spatial Transformations

Abstract Accurate characterization of forest canopy cover from satellite imagery hinges on the development of a model that considers the level of detail achieved by field methods. With the improved precision of both optical sensors and various spatial techniques, models built to extract forest structure attributes have become increasingly robust, yet many still fail to address some of the most important characteristics of a forest stand's intricate make-up. The objective of this study, therefore, was to address canopy cover from the ground, up. To assess canopy cover in the field, a vertical densitometer was used to acquire a total of 2,160 percent-cover readings from 30 randomly located triangular plots within a 6.94 km2 study area in the centr... (more)
Created Date 2012
Contributor Schirmang, Tracy (Author) / Myint, Soe W (Advisor) / Fall, Patricia L (Advisor) / Brazel, Anthony J (Committee member) / Arizona State University (Publisher)
Subject Geography / Forestry / canopy cover / coniferous / landsat / moving windows / remote sensing / vegetation index
Type Masters Thesis
Extent 51 pages
Language English
Reuse Permissions All Rights Reserved
Note M.A. Geography 2012
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS

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Description Dissertation/Thesis