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A multiscale dataset for understanding complex eco-hydrological processes in a heterogeneous oasis system
- Source :
- Scientific Data
- Publication Year :
- 2017
- Publisher :
- Springer Science and Business Media LLC, 2017.
-
Abstract
- 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.
- Subjects :
- Statistics and Probability
Data Descriptor
010504 meteorology & atmospheric sciences
0208 environmental biotechnology
Imaging spectrometer
Eddy covariance
02 engineering and technology
Library and Information Sciences
01 natural sciences
Physics::Geophysics
Education
Atmospheric science
Physics::Atmospheric and Oceanic Physics
0105 earth and related environmental sciences
Remote sensing
Data processing
Data collection
business.industry
Microwave radiometer
020801 environmental engineering
Computer Science Applications
Lidar
Environmental science
Data center
Hydrology
Statistics, Probability and Uncertainty
business
Wireless sensor network
Information Systems
Subjects
Details
- ISSN :
- 20524463
- Volume :
- 4
- Database :
- OpenAIRE
- Journal :
- Scientific Data
- Accession number :
- edsair.doi.dedup.....8d1280242a804e165cad1b48ceb7a445
- Full Text :
- https://doi.org/10.1038/sdata.2017.83