气候变化领域集成服务门户(CCPortal): Improving semi-automated glacier mapping with a multi-method approach: Applications in central Asia

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DOI	10.5194/tc-9-1747-2015
	Improving semi-automated glacier mapping with a multi-method approach: Applications in central Asia
	Smith T.; Bookhagen B.; Cannon F.
发表日期	2015
ISSN	19940416
卷号	9 期号:5
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).
学科领域	algorithm; automation; data set; GIS; glacier; image analysis; Landsat; mapping method; remote sensing; satellite data; snow; topography; Central Asia
语种	英语
scopus关键词	algorithm; automation; data set; GIS; glacier; image analysis; Landsat; mapping method; remote sensing; satellite data; snow; topography; Central Asia
来源期刊	Cryosphere
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/119819
作者单位	Institute for Earth and Environmental Sciences, Universität Potsdam, Potsdam, Germany; Geography Department, University of California, Santa Barbara, CA, United States
推荐引用方式 GB/T 7714	Smith T.,Bookhagen B.,Cannon F.. Improving semi-automated glacier mapping with a multi-method approach: Applications in central Asia[J],2015,9(5).
APA	Smith T.,Bookhagen B.,&Cannon F..(2015).Improving semi-automated glacier mapping with a multi-method approach: Applications in central Asia.Cryosphere,9(5).
MLA	Smith T.,et al."Improving semi-automated glacier mapping with a multi-method approach: Applications in central Asia".Cryosphere 9.5(2015).