气候变化领域集成服务门户(CCPortal): Identification of blowing snow particles in images from a Multi-Angle Snowflake Camera

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DOI	10.5194/tc-14-367-2020
	Identification of blowing snow particles in images from a Multi-Angle Snowflake Camera
	Schaer M.; Praz C.; Berne A.
发表日期	2020
ISSN	19940416
EISSN	14
起始页码	367
结束页码	384
卷号	14 期号:1
英文摘要	A new method to automatically discriminate between hydrometeors and blowing snow particles on Multi-Angle Snowflake Camera (MASC) images is introduced. The method uses four selected descriptors related to the image frequency, the number of particles detected per image, and their size and geometry to classify each individual image. The classification task is achieved with a two-component Gaussian mixture model fitted on a subset of representative images of each class from field campaigns in Antarctica and Davos, Switzerland. The performance is evaluated by labeling the subset of images on which the model was fitted. An overall accuracy and a Cohen kappa score of 99.4% and 98.8%, respectively, are achieved. In a second step, the probabilistic information is used to flag images composed of a mix of blowing snow particles and hydrometeors, which turns out to occur frequently. The percentage of images belonging to each class from an entire austral summer in Antarctica and during a winter in Davos, respectively, is presented. The capability to distinguish precipitation, blowing snow and a mix of those in MASC images is highly relevant to disentangle the complex interactions between wind, snowflakes and snowpack close to the surface. © 2020 Author(s). This work is distributed under the Creative Commons Attribution 4.0 License.
学科领域	blowing snow; Gaussian method; identification method; image analysis; image classification; methodology; performance assessment; snow; snowpack; winter; Antarctica; Davos; Graubunden; Switzerland; Switzerland
语种	英语
scopus关键词	blowing snow; Gaussian method; identification method; image analysis; image classification; methodology; performance assessment; snow; snowpack; winter; Antarctica; Davos; Graubunden; Switzerland; Switzerland
来源期刊	The Cryosphere
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/118768
作者单位	Environmental Remote Sensing Laboratory, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
推荐引用方式 GB/T 7714	Schaer M.,Praz C.,Berne A.. Identification of blowing snow particles in images from a Multi-Angle Snowflake Camera[J],2020,14(1).
APA	Schaer M.,Praz C.,&Berne A..(2020).Identification of blowing snow particles in images from a Multi-Angle Snowflake Camera.The Cryosphere,14(1).
MLA	Schaer M.,et al."Identification of blowing snow particles in images from a Multi-Angle Snowflake Camera".The Cryosphere 14.1(2020).