DOI: 10.1016/j.jag.2017.06.006
Scopus记录号: 2-s2.0-85032174830
论文题名: Automated delineation and characterization of drumlins using a localized contour tree approach
作者: Wang S ; , Wu Q ; , Ward D
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2017
卷: 62 起始页码: 144
结束页码: 156
语种: 英语
英文关键词: Contour tree
; Drumlin
; LiDAR
; Morphology
; Spatial pattern
Scopus关键词: contour map
; drumlin
; formation mechanism
; geological mapping
; geomorphology
; ice flow
; lidar
; spatial variation
英文摘要: Drumlins are ubiquitous landforms in previously glaciated regions, formed through a series of complex subglacial processes operating underneath the paleo-ice sheets. Accurate delineation and characterization of drumlins are essential for understanding the formation mechanism of drumlins as well as the flow behaviors and basal conditions of paleo-ice sheets. Automated mapping of drumlins is particularly important for examining the distribution patterns of drumlins across large spatial scales. This paper presents an automated vector-based approach to mapping drumlins from high-resolution light detection and ranging (LiDAR) data. The rationale is to extract a set of concentric contours by building localized contour trees and establishing topological relationships. This automated method can overcome the shortcomings of previously manual and automated methods for mapping drumlins, for instance, the azimuthal biases during the generation of shaded relief images. A case study was carried out over a portion of the New York Drumlin Field. Overall 1181 drumlins were identified from the LiDAR-derived DEM across the study region, which had been underestimated in previous literature. The delineation results were visually and statistically compared to the manual digitization results. The morphology of drumlins was characterized by quantifying the length, width, elongation ratio, height, area, and volume. Statistical and spatial analyses were conducted to examine the distribution pattern and spatial variability of drumlin size and form. The drumlins and the morphologic characteristics exhibit significant spatial clustering rather than randomly distributed patterns. The form of drumlins varies from ovoid to spindle shapes towards the downstream direction of paleo ice flows, along with the decrease in width, area, and volume. This observation is in line with previous studies, which may be explained by the variations in sediment thickness and/or the velocity increases of ice flows towards ice front. © 2017 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/80005
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Geography & Geographic Information Science, University of Cincinnati, Cincinnati, OH, United States; Department of Geography, Binghamton University, State University of New York, Binghamton, New York, United States; University of Cincinnati, Department of Geology, Cincinnati, OH, United States
Recommended Citation:
Wang S,, Wu Q,, Ward D. Automated delineation and characterization of drumlins using a localized contour tree approach[J]. International Journal of Applied Earth Observation and Geoinformation,2017-01-01,62