气候变化领域集成服务门户(CCPortal): Snow process monitoring using time-lapse structure-from-motion photogrammetry with a single camera

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DOI	10.1016/j.coldregions.2021.103355
	Snow process monitoring using time-lapse structure-from-motion photogrammetry with a single camera
	Liu, Junfeng; Chen, Rensheng; Ding, Yongjian; Han, Chuntan; Ma, Shaoxiu
通讯作者	Chen, RS (通讯作者)，Northwest Inst Ecoenvironm & Resources, Donggang Rd 320, Lanzhou, Peoples R China.
发表日期	2021
ISSN	0165-232X
EISSN	1872-7441
卷号	190
英文摘要	Snow-surface processes in high-mountain snow-covered regions can be both complicated and highly variable. It remains a challenge to monitor snow-surface processes due to its tough environment. In this study, a novel Onecamera Time-lapse Structure-from-Motion photogrammetry system (O-T-SfM), which is achieved by mounted a camera on a slider to take seven images from different viewing angles, was build-up to monitor snow surface automatically. The novel O-T-SfM was installed next to the August-one ice cap in the Qilian mountains, northwestern China to monitor snow-surface processes by taking oblique digital photographs every three hours from 8:00 to 17:00 from August 24, 2019, to September 7, 2020. Agisoft Photoscan was used to process the images and to derive point clouds and plot 1.5 x 1.5 m scale digital elevation models (DEMs). The O-T-SfM measurements is highly consistent with three different methods such as manual measurement, checkpoints, and manual photogrammetry, which indicates that O-T-SfM photogrammetry can achieve centimeter-scale precision. We found that O-T-SfM photogrammetry was generally successful at monitoring snow surfaces and the performance varies with the variation of surface condition in different season. Best performance was reached with snow-free conditions and O-T-SfM has a good performance when snow bedforms were abundant from October to March. It is hard for O-T-SfM to capture the snow melting processes July to September and the smooth fresh snowfalls from April to June. Alignment achievement was greatest in the morning and declined throughout the day. We found that our digital DEMs could also be used to assess the settling characteristics of the snowpack (snow accumulation and ablation, snow-surface roughness). Our results suggest that remote O-T-SfM photogrammetry can be successfully used to monitor the snow processes.
关键词	3-DIMENSIONAL SURFACE-TOPOGRAPHY SPATIAL-RESOLUTION RECONSTRUCTION ROUGHNESS DEPTH ACCUMULATION PHOTOGRAPHY ACQUISITION PARAMETERS CATCHMENT
英文关键词	One-camera time-lapse SfM photogrammetry; Alignment; Snow depth; Snow surface roughness
语种	英语
WOS研究方向	Engineering ; Geology
WOS类目	Engineering, Environmental ; Engineering, Civil ; Geosciences, Multidisciplinary
WOS记录号	WOS:000679286500001
来源期刊	COLD REGIONS SCIENCE AND TECHNOLOGY
来源机构	中国科学院西北生态环境资源研究院
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/253610
作者单位	[Liu, Junfeng; Chen, Rensheng; Ding, Yongjian; Han, Chuntan] Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Key Lab Ecohydrol Inland River Basin, Qilian Alpine Ecol & Hydrol Res Stn, Lanzhou, Peoples R China; [Chen, Rensheng] Northwest Univ, Coll Urban & Environm Sci, Xian, Peoples R China; [Ma, Shaoxiu] Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Lanzhou, Peoples R China
推荐引用方式 GB/T 7714	Liu, Junfeng,Chen, Rensheng,Ding, Yongjian,et al. Snow process monitoring using time-lapse structure-from-motion photogrammetry with a single camera[J]. 中国科学院西北生态环境资源研究院,2021,190.
APA	Liu, Junfeng,Chen, Rensheng,Ding, Yongjian,Han, Chuntan,&Ma, Shaoxiu.(2021).Snow process monitoring using time-lapse structure-from-motion photogrammetry with a single camera.COLD REGIONS SCIENCE AND TECHNOLOGY,190.
MLA	Liu, Junfeng,et al."Snow process monitoring using time-lapse structure-from-motion photogrammetry with a single camera".COLD REGIONS SCIENCE AND TECHNOLOGY 190(2021).