气候变化领域集成服务门户(CCPortal): An automatic method for clean glacier and nonseasonal snow area change estimation in High Mountain Asia from 1990 to 2018

CCPortal

DOI	10.1016/j.rse.2021.112376
	An automatic method for clean glacier and nonseasonal snow area change estimation in High Mountain Asia from 1990 to 2018
	Huang L.; Li Z.; Zhou J.M.; Zhang P.
发表日期	2021
ISSN	00344257
卷号	258
英文摘要	Large-scale glacier area expansion or shrinkage is among the most conspicuous indicators of regional and global climate change. Glacier extraction from satellite images is an essential step in large-scale area change monitoring. However, glacier extraction is usually influenced by cloud cover and seasonal snow, and thus far, there is no effective and automatic method to monitor glacier area change in large regions. In this study, a new method ‘multi-temporal minimum NDSI composite’ is proposed for clean glacier and nonseasonal snow extraction, and the results agree well with the glacier inventory (excluding the debris part), except in Himalayan regions where non-seasonal snow exists widely out of glaciers. This method is also used to estimate the glacier and nonseasonal snow area changes in High Mountain Asia (HMA) over the past 29 years. With this method, we can use abundant Landsat images of summer seasons from continuous years to composite a cloud-free and seasonal snow-free glacial image pixel by pixel. Glacial maps for the whole HMA are produced every 10 years beginning in 1990, so glacier changes are presented in different subregions and periods. The number of images which is used to composite a glacial map in each pixel is also given for uncertainty analysis. According to the results, the clean glacier and nonseasonal snow area in HMA decreased by −0.43 ± 0.19%/a during 1990–2018 but had high temporal and spatial heterogeneity. Clean glacier and nonseasonal snow area decreased rapidly during 1990–2000, slowed down during 2000–2010, and then sped up during 2010–2018. The fastest reductions were in Hengduan Shan at rates of approximately −1.05 ± 0.09%/a, and the only area with growth (at a rate of 0.50 ± 0.11%/a) was in West Kun Lun during 1990–2018. © 2021
英文关键词	Area change; Glacier; High Mountain Asia; Landsat; Remote sensing
语种	英语
scopus关键词	Climate change; Extraction; Glacial geology; Pixels; Remote sensing; Snow; Uncertainty analysis; Area-changes; Automatic method; Change estimation; Global climate changes; High mountain asia; High mountains; LANDSAT; Large-scales; Regional climate changes; Remote-sensing; Landforms; climate change; cloud cover; detection method; estimation method; global climate; Landsat; satellite imagery; seasonal variation; snow cover; spatiotemporal analysis; Hengduan Mountains; Varanidae
来源期刊	Remote Sensing of Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/178893
作者单位	Key Lab of Digital Earth, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100094, China
推荐引用方式 GB/T 7714	Huang L.,Li Z.,Zhou J.M.,et al. An automatic method for clean glacier and nonseasonal snow area change estimation in High Mountain Asia from 1990 to 2018[J],2021,258.
APA	Huang L.,Li Z.,Zhou J.M.,&Zhang P..(2021).An automatic method for clean glacier and nonseasonal snow area change estimation in High Mountain Asia from 1990 to 2018.Remote Sensing of Environment,258.
MLA	Huang L.,et al."An automatic method for clean glacier and nonseasonal snow area change estimation in High Mountain Asia from 1990 to 2018".Remote Sensing of Environment 258(2021).