气候变化领域集成服务门户(CCPortal): Automated Glacier Snow Line Altitude Calculation Method Using Landsat Series Images in the Google Earth Engine Platform

CCPortal

DOI	10.3390/rs14102377
	Automated Glacier Snow Line Altitude Calculation Method Using Landsat Series Images in the Google Earth Engine Platform
	Li, Xiang; Wang, Ninglian; Wu, Yuwei
通讯作者	Wang, NL (通讯作者)
发表日期	2022
EISSN	2072-4292
卷号	14 期号:10
英文摘要	Glacier snow line altitude (SLA) at the end of the ablation season is an indicator of the equilibrium line altitude (ELA), which is a key parameter for calculating and assessing glacier mass balance. Here, we present an automated algorithm to classify bare ice and snow cover on glaciers using Landsat series images and calculate the minimum annual glacier snow cover ratio (SCR) and maximum SLA for reference glaciers during the 1985-2020 period in Google Earth Engine. The calculated SCR and SLA values are verified using the observed glacier accumulation area ratio (AAR) and ELA. We select 14 reference glaciers from High Mountain Asia (HMA), the Caucasus, the Alps, and Western Canada, which represent four mountainous regions with extensive glacial development in the northern hemisphere. The SLA accuracy is similar to 73%, with a mean uncertainty of +/- 24 m, for 13 of the reference glaciers. Eight of these glaciers yield R-2 > 0.5, and the other five glaciers yield R-2 > 0.3 for their respective SCR-AAR relationships. Furthermore, 10 of these glaciers yield R-2 > 0.5 and the other three glaciers yield R-2 > 0.3 for their respective SLA-ELA relationships, which indicate that the calculated SLA from this algorithm provides a good fit to the ELA observations. However, Careser Glacier yields a poor fit between the SLA calculations and ELA observations owing to tremendous surface area changes during the analyzed time series; this indicates that glacier surface shape changes due to intense ablation will lead to a misclassification of the glacier surface, resulting in deviations between the SLA and ELA. Furthermore, cloud cover, shadows, and the Otsu method limitation will further affect the SLA calculation. The post-2000 SLA values are better than those obtained before 2000 because merging the Landsat series images reduces the temporal resolution, which allows the date of the calculated SLA to be closer to the date of the observed ELA. From a regional perspective, the glaciers in the Caucasus, HMA and the Alps yield better results than those in Western Canada. This algorithm can be applied to large regions, such as HMA, to obtain snow line estimates where manual approaches are exhaustive and/or unfeasible. Furthermore, new optical data, such as that from Sentinel-2, can be incorporated to further improve the algorithm results.
关键词	MASS-BALANCE GREATER CAUCASUS QILIAN MOUNTAINS CLOUD SHADOW COVER AREA SUMMER IMPACT PERIOD RISE
英文关键词	snow line altitude (SLA); Landsat; glacier; equilibrium line altitude (ELA); Google Earth Engine (GEE)
语种	英语
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号	WOS:000801270800001
来源期刊	REMOTE SENSING
来源机构	中国科学院青藏高原研究所
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/260600
推荐引用方式 GB/T 7714	Li, Xiang,Wang, Ninglian,Wu, Yuwei. Automated Glacier Snow Line Altitude Calculation Method Using Landsat Series Images in the Google Earth Engine Platform[J]. 中国科学院青藏高原研究所,2022,14(10).
APA	Li, Xiang,Wang, Ninglian,&Wu, Yuwei.(2022).Automated Glacier Snow Line Altitude Calculation Method Using Landsat Series Images in the Google Earth Engine Platform.REMOTE SENSING,14(10).
MLA	Li, Xiang,et al."Automated Glacier Snow Line Altitude Calculation Method Using Landsat Series Images in the Google Earth Engine Platform".REMOTE SENSING 14.10(2022).