DOI: 10.5194/tc-9-1747-2015
Scopus记录号: 2-s2.0-84941121918
论文题名: Improving semi-automated glacier mapping with a multi-method approach: Applications in central Asia
作者: Smith T ; , Bookhagen B ; , Cannon F
刊名: Cryosphere
ISSN: 19940416
出版年: 2015
卷: 9, 期: 5 起始页码: 1747
结束页码: 1759
语种: 英语
英文关键词: algorithm
; automation
; data set
; GIS
; glacier
; image analysis
; Landsat
; mapping method
; remote sensing
; satellite data
; snow
; topography
; Central Asia
英文摘要: Studies of glaciers generally require precise glacier outlines. Where these are not available, extensive manual digitization in a geographic information system (GIS) must be performed, as current algorithms struggle to delineate glacier areas with debris cover or other irregular spectral profiles. Although several approaches have improved upon spectral band ratio delineation of glacier areas, none have entered wide use due to complexity or computational intensity. In this study, we present and apply a glacier mapping algorithm in Central Asia which delineates both clean glacier ice and debris-covered glacier tongues. The algorithm is built around the unique velocity and topographic characteristics of glaciers and further leverages spectral and spatial relationship data. We found that the algorithm misclassifies between 2 and 10 % of glacier areas, as compared to a ∼ 750 glacier control data set, and can reliably classify a given Landsat scene in 3-5 min. The algorithm does not completely solve the difficulties inherent in classifying glacier areas from remotely sensed imagery but does represent a significant improvement over purely spectral-based classification schemes, such as the band ratio of Landsat 7 bands three and five or the normalized difference snow index. The main caveats of the algorithm are (1) classification errors at an individual glacier level, (2) reliance on manual intervention to separate connected glacier areas, and (3) dependence on fidelity of the input Landsat data. © 2015 Author(s). Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/75249
Appears in Collections: 影响、适应和脆弱性 气候变化与战略
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作者单位: Institute for Earth and Environmental Sciences, Universität Potsdam, Potsdam, Germany; Geography Department, University of California, Santa Barbara, CA, United States
Recommended Citation:
Smith T,, Bookhagen B,, Cannon F. Improving semi-automated glacier mapping with a multi-method approach: Applications in central Asia[J]. Cryosphere,2015-01-01,9(5)