Master of Science (MS), Ohio University, 2023, Geography (Arts and Sciences)
In current maps and geospatial datasets, representations of landforms such as mountains, hills, and ridgelines are unable to be drawn to their full extent. Due to the lack of a clearly observable boundary, the visualizations of these features are often limited to a singular point or line feature. This representation does not allow for an understanding of the true extent of landforms or the potential hierarchies that exist within the landscape. While manual attempts to delineate the extents of such features is always possible, it cannot be scaled for large areas with tens of thousands of features. In any case, there is no prescriptive way to delimit landforms, so no single set of delineated features can be considered sufficient for all people and contexts. In addition, the delineation of landforms depends on what type of landform is being searched for and the scale of delineation. Thus, this is not a deterministic process and needs to be context dependent. There needs to be flexibility and the focus should be on customizable methods, rather than canonical representations of landforms.
The author of this thesis builds upon previous work within the field of geomorphometry and semi-automated feature extraction approaches by exploring and testing the applicability of several methods for delineating landforms within a range of study areas. The goal is to assess which methods produce linear (ridges) and non-linear eminences (peaks, summits, mountains) that match common sense expectations for what these features should look like in the real world, and by extension on maps. The six methods explored within this research were proposed by Wood (1996), Jasiewicz and Stepinski (2013), Lundblad et al. (2006), Chaudry and Mackaness (2008), Sinha (2008), and Miliaresis and Argialas (1999). The methods were selected based on their popularity within the research community and/or the author's judgment of the potential of the method for providing accurate mappings of terrain features (open full item for complete abstract)
Committee: Gaurav Sinha (Advisor); Timothy Anderson (Committee Member); Dorothy Sack (Committee Member)
Subjects: Geographic Information Science; Geography; Geomorphology