Usingvery long-range terrestriallaser scanner to analyze the temporal consistency of the snowpack distribution in a high mountain environment
文献类型：期刊论文
| 作者 | Juan I. LÓPEZ-MORENO; Jesús REVUELTO; E. ALONSO-GONZÁLEZ; Alba SANMIGUEL-VALLELADO; Steven R. FASSNACHT; Jeffrey DEEMS; Enrique MORÁN-TEJEDA |
| 刊名 | Journal of Mountain Science
 |
| 出版日期 | 2017-05 |
| 卷号 | 14期号:5页码:823-842 |
| 关键词 | Snow Terrestrial Laser Scanner (Tls) Topography Random Forests Spatial Distribution Pyrenees |
| ISSN号 | 1672-6316 |
| DOI | 10.1007/s11629-016-4086-0 |
| 通讯作者 | Juan I. LÓPEZ-MORENO |
| 文献子类 | 期刊论文 |
| 英文摘要 | This study demonstrated theusefulness of very long-range terrestrial laser scanning(TLS) for analysis of the spatial distribution of a snowpack, to distances up to 3000 m, one of the longest measurement range reported to date. Snow depth data were collected using a terrestrial laser scanner during 11 periods ofsnow accumulation and melting,overthree snow seasons ona Pyrenean hillslopecharacterized by a large elevationalgradient, steep slopes, and avalanche occurrence. The maximum and mean absolute snow depth error found was 0.5-0.6 and 0.2-0.3 m respectively, which may result problematic for areas with a shallow snowpack, but it is sufficiently accurate to determine snow distribution patterns in areas characterized by a thick snowpack. The results indicated that in most cases there was temporal consistency in the spatial distribution of thesnowpack, even in different years. The spatial patterns were particularly similar amongst thesurveys conducted during the period dominated by snow accumulation (generally until end of April), or amongst those conducted during the period dominated by melting processes (generally after mid of April or early May). Simple linear correlation analyses for the 11 survey dates, and the application of Random Forests analysis to two days representative of snow accumulation and melting periods indicated the importance of topography to the snow distribution. The results also highlight that elevation and the Topographic Position index (TPI)were the main variables explaining the snow distribution, especially during periods dominated by melting. The intra- and inter-annual spatial consistency of the snowpack distribution suggests that the geomorphological processes linked to presence/absence of snowcover act in a similar wayin the longterm, and that these spatial patternscan be easily identifiedthrough several years of adequate monitoring. |
| 语种 | 英语 |
| 源URL | [http://ir.imde.ac.cn/handle/131551/18710]  |
| 专题 | Journal of Mountain Science _Journal of Mountain Science-2017_Vol14 No.5 |
| 推荐引用方式 GB/T 7714 | Juan I. LÓPEZ-MORENO,Jesús REVUELTO,E. ALONSO-GONZÁLEZ,et al. Usingvery long-range terrestriallaser scanner to analyze the temporal consistency of the snowpack distribution in a high mountain environment[J]. Journal of Mountain Science,2017,14(5):823-842. |
| APA | Juan I. LÓPEZ-MORENO.,Jesús REVUELTO.,E. ALONSO-GONZÁLEZ.,Alba SANMIGUEL-VALLELADO.,Steven R. FASSNACHT.,...&Enrique MORÁN-TEJEDA.(2017).Usingvery long-range terrestriallaser scanner to analyze the temporal consistency of the snowpack distribution in a high mountain environment.Journal of Mountain Science,14(5),823-842. |
| MLA | Juan I. LÓPEZ-MORENO,et al."Usingvery long-range terrestriallaser scanner to analyze the temporal consistency of the snowpack distribution in a high mountain environment".Journal of Mountain Science 14.5(2017):823-842. |
入库方式： OAI收割
来源：成都山地灾害与环境研究所
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