Arid
DOI10.1038/sdata.2017.83
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; Wang, Liangxu1,6
通讯作者Li, Xin ; Wang, Liangxu
来源期刊SCIENTIFIC DATA
EISSN2052-4463
出版年2017
卷号4
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.


类型Article ; Data Paper
语种英语
国家Peoples R China
收录类别SCI-E
WOS记录号WOS:000404232500001
WOS关键词REMOTE-SENSING PRODUCTS ; WIRELESS SENSOR NETWORK ; HEIHE RIVER-BASIN ; CHINA ; VALIDATION ; DESIGN
WOS类目Multidisciplinary Sciences
WOS研究方向Science & Technology - Other Topics
来源机构中国科学院西北生态环境资源研究院 ; 北京师范大学
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/202276
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. A multiscale dataset for understanding complex eco-hydrological processes in a heterogeneous oasis system[J]. 中国科学院西北生态环境资源研究院, 北京师范大学,2017,4.
APA Li, Xin.,Liu, Shaomin.,Xiao, Qin.,Ma, Mingguo.,Jin, Rui.,...&Wang, Liangxu.(2017).A multiscale dataset for understanding complex eco-hydrological processes in a heterogeneous oasis system.SCIENTIFIC DATA,4.
MLA Li, Xin,et al."A multiscale dataset for understanding complex eco-hydrological processes in a heterogeneous oasis system".SCIENTIFIC DATA 4(2017).
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