气候变化领域集成服务门户(CCPortal): Estimation of snow depth and snow water equivalent distribution using airborne microwave radiometry in the Binggou Watershed, the upper reaches of the Heihe River basin

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DOI	10.1016/j.jag.2011.10.014
	Estimation of snow depth and snow water equivalent distribution using airborne microwave radiometry in the Binggou Watershed, the upper reaches of the Heihe River basin
	Che, Tao; Dai, Liyun; Wang, Jian; Zhao, Kai; Liu, Qiang
发表日期	2012
ISSN	0303-2434
起始页码	23
结束页码	32
卷号	17
英文摘要	We estimated the spatial distribution of snow depth/snow water equivalent (SD/SWE) in a mountainous watershed (Binggou, which is in the upper reaches of the Heihe River basin) by an airborne microwave radiometry observational experiment. Two microwave radiometers measuring at K band (18.7 GHz) and Ka band (36 GHz) were used to estimate the volume scatter from snowpacks and infer SD and SWE. Simultaneously, the snow physical properties (such as snow depth, density, grain size and temperature) over four sites were measured, and a simple multi-layer sample scheme was adopted to obtain the stratigraphic information. The microwave emission model of layered snowpacks (MEMLS) was used to simulate the brightness temperatures of snow cover for each measurement point. By comparing TB data that were simulated by MEMLS and observed by radiometers on the aircraft over the four sites, we obtained the retrieval algorithms of SD and SWE based on brightness temperature differences (TOO) at the K- and Ka-bands that are suitable to the local snow properties. The validation shows that the mean absolute and relative errors of SD estimates are approximately 3.5 cm and 14.8%, respectively. SWE from airborne microwave radiometers show that blowing snow and sun radiation are two main factors that determine the spatial distribution of SWE in Binggou Watershed. The local angle of incidence of the microwave radiometer observation can be influenced by mountainous topography, and a sensitivity analysis suggests that changes in the local angle of incidence (e.g., the nominal angle of incidence) will not significantly influence the estimation of SD/SWE. The snow's stratigraphic condition is not an important factor for estimating SD/SWE in this study because the snow was not very deep in the Binggou Watershed. However, the field sampling scheme should be given more attention to obtain the spatial variations of snow properties and to support pixel-by-pixel validation in next field campaign. (C) 2011 Elsevier B.V. All rights reserved.
英文关键词	Passive microwave; Airborne remote sensing; Snow depth; Snow water equivalent; Cold region
WOS研究方向	Remote Sensing
WOS类目	Remote Sensing
WOS关键词	REMOTE-SENSING DATA ; EMISSION MODEL ; LAYERED SNOWPACKS ; ALGORITHM ; CHINA
WOS记录号	WOS:000305265200004
来源期刊	INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
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/241021
作者单位	[Che, Tao; Dai, Liyun; Wang, Jian] Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, Lanzhou 730000, Peoples R China; [Dai, Liyun] Chinese Acad Sci, Grad Univ, Beijing 100049, Peoples R China; [Zhao, Kai] Chinese Acad Sci, NE Inst Geog & Agroecol, Changchun 130012, Peoples R China; [Liu, Qiang] Chinese Acad Sci, Inst Remote Sensing Applicat, Beijing 100101, Peoples R China
推荐引用方式 GB/T 7714	Che, Tao,Dai, Liyun,Wang, Jian,et al. Estimation of snow depth and snow water equivalent distribution using airborne microwave radiometry in the Binggou Watershed, the upper reaches of the Heihe River basin[J]. 中国科学院西北生态环境资源研究院,2012,17.
APA	Che, Tao,Dai, Liyun,Wang, Jian,Zhao, Kai,&Liu, Qiang.(2012).Estimation of snow depth and snow water equivalent distribution using airborne microwave radiometry in the Binggou Watershed, the upper reaches of the Heihe River basin.INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,17.
MLA	Che, Tao,et al."Estimation of snow depth and snow water equivalent distribution using airborne microwave radiometry in the Binggou Watershed, the upper reaches of the Heihe River basin".INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION 17(2012).