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Utah State University (2002)

A Macroterrain Landtype Association classification model for the Great Basin

Dougher, Frank L

Titre : A Macroterrain Landtype Association classification model for the Great Basin

Auteur : Dougher, Frank L

Université de soutenance : Utah State University

Grade : Master of Science (MS) 2002

Résumé
Three Macroterrain Landtype Association classification models were developed to stratify and categorize Utah’s West Desert. These models approached terrain segmentation using an energy-flow paradigm from erosional to transitional to depositional landscapes. One model was developed as a slope-based deterministic model that used slope-threshold limits to discriminate between Landtype Associations. A second model was developed as a stochastic, training-data driven supervised classification, using comparative t-values to classify the landscape to the most similar landtype class. The third model was a probabilistic algorithm, which classified the landscape to the most probable class based on multiple iterations of the stochastic model. These models were assessed for performance against Macroterrain Landtype Association classifications from three independent geographical datasets. The performance assessment involved calculating model-to-reference agreement, a piecewise assessment of errors for each Macroterrain Landtype Association class, and a measure of the modelto-reference performance relative to that performance expected from random chance.

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Page publiée le 27 février 2015, mise à jour le 10 septembre 2018