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	Data Descriptor: A multiscale dataset for understanding complex eco-hydrological processes in a heterogeneous oasis system
	Li, Xin1,2; Liu, Shaomin3; Xiao, Qin4; Ma, Mingguo5; Jin, Rui1,2; Che, Tao1,2; Wang, Weizhen1; Hu, Xiaoli1; Xu, Ziwei3; Wen, Jianguang4
刊名	SCIENTIFIC DATA
	2017-06-27
卷号	4页码:11
ISSN号	2052-4463
DOI	10.1038/sdata.2017.83
通讯作者	Li, Xin(lixin@lzb.ac.cn) ; Wang, Liangxu(wangliangxu@shnu.edu.cn)
英文摘要	We introduce a multiscale dataset obtained from Heihe Watershed Allied Telemetry Experimental Research (HiWATER) in an oasis-desert area in 2012. Upscaling of eco-hydrological processes on a heterogeneous surface is a grand challenge. Progress in this field is hindered by the poor availability of multiscale observations. HiWATER is an experiment designed to address this challenge through instrumentation on hierarchically nested scales to obtain multiscale and multidisciplinary data. The HiWATER observation system consists of a flux observation matrix of eddy covariance towers, large aperture scintillometers, and automatic meteorological stations; an eco-hydrological sensor network of soil moisture and leaf area index; hyper-resolution airborne remote sensing using LiDAR, imaging spectrometer, multi-angle thermal imager, and L-band microwave radiometer; and synchronical ground measurements of vegetation dynamics, and photosynthesis processes. All observational data were carefully quality controlled throughout sensor calibration, data collection, data processing, and datasets generation. The data are freely available at figshare and the Cold and Arid Regions Science Data Centre. The data should be useful for elucidating multiscale eco-hydrological processes and developing upscaling methods.
收录类别	SCI
WOS关键词	REMOTE-SENSING PRODUCTS ; WIRELESS SENSOR NETWORK ; HEIHE RIVER-BASIN ; CHINA ; VALIDATION ; DESIGN
WOS研究方向	Science & Technology - Other Topics
WOS类目	Multidisciplinary Sciences
语种	英语
出版者	NATURE PUBLISHING GROUP
WOS记录号	WOS:000404232500001
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/2557731
专题	寒区旱区环境与工程研究所
通讯作者	Li, Xin; Wang, Liangxu
作者单位	1.Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, Lanzhou 730000, Peoples R China 2.Chinese Acad Sci, CAS Ctr Excellence Tibetan Plateau Earth Sci, Beijing 100101, Peoples R China 3.Beijing Normal Univ, Sch Nat Resources, Fac Geog Sci, State Key Lab Earth Surface Processes & Resource, Beijing 100875, Peoples R China 4.Chinese Acad Sci, Inst Remote Sensing Applicat, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China 5.Southwest Univ, Sch Geog Sci, Chongqing 400715, Peoples R China 6.Shanghai Normal Univ, Inst Urban Studies, Shanghai 200234, Peoples R China
推荐引用方式 GB/T 7714	Li, Xin,Liu, Shaomin,Xiao, Qin,et al. Data Descriptor: A multiscale dataset for understanding complex eco-hydrological processes in a heterogeneous oasis system[J]. SCIENTIFIC DATA,2017,4:11.
APA	Li, Xin.,Liu, Shaomin.,Xiao, Qin.,Ma, Mingguo.,Jin, Rui.,...&Wang, Liangxu.(2017).Data Descriptor: A multiscale dataset for understanding complex eco-hydrological processes in a heterogeneous oasis system.SCIENTIFIC DATA,4,11.
MLA	Li, Xin,et al."Data Descriptor: A multiscale dataset for understanding complex eco-hydrological processes in a heterogeneous oasis system".SCIENTIFIC DATA 4(2017):11.

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