globalchange  > 过去全球变化的重建
DOI: 10.1016/j.jag.2019.01.010
WOS记录号: WOS:000463131700013
论文题名:
The potential of retrieving snow line dynamics from Landsat during the end of the ablation seasons between 1982 and 2017 in European mountains
作者: Hu, Zhongyang; Dietz, Andreas; Kuenzer, Claudia
通讯作者: Hu, Zhongyang
刊名: INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
ISSN: 0303-2434
出版年: 2019
卷: 78, 页码:138-148
语种: 英语
英文关键词: Landsat ; Snow ; Europe ; Mountains ; Snow line elevation ; Time-series
WOS关键词: CLOUD SHADOW DETECTION ; TERM ACQUISITION PLAN ; COVER ; MODIS ; ALGORITHM ; CLIMATE ; VALIDATION ; RECORD ; AREA
WOS学科分类: Remote Sensing
WOS研究方向: Remote Sensing
英文摘要:

Snow cover in the Northern Hemisphere is continuously decreasing during the ablation seasons in the context of climate change. Snow Line Elevation (SLE) is a suitable indicator illustrating detailed snow cover distribution dynamics at a regional scale. In order to carry out time-series analyses of the SLEs in mountain areas, long-term (> 30 years) and detailed spatial resolution (< 100 m) data are required. In this article, we have retrieved SLEs from Landsat during the end of the ablation seasons in European mountains between 1984 and 2017. Based on our analyses, it is possible to use the Landsat archive to illustrate potential long-term snow line dynamics in the Alps, the Carpathian Mountains, and the Pyrenees. The snow lines appear to recede to higher elevations in these Southern European Mountains. To further implement statistical analyses, it is required to fill the missing observations, and reduce uncertainties induced by intermediate snowfall events.


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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/139891
Appears in Collections:过去全球变化的重建

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作者单位: German Aerosp Ctr DLR, German Remote Sensing Data Ctr DFD, EOC, Oberpfaffenhofen, Wessling, Germany

Recommended Citation:
Hu, Zhongyang,Dietz, Andreas,Kuenzer, Claudia. The potential of retrieving snow line dynamics from Landsat during the end of the ablation seasons between 1982 and 2017 in European mountains[J]. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,2019-01-01,78:138-148
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