Data for: Ground Observation-based Analysis of Soil Moisture Spatiotemporal Variability Across A Humid to Semi-Humid Transitional Zone in China

Published: 9 May 2019| Version 1 | DOI: 10.17632/9dwc3rchft.1
Contributors:
Ke Zhang,
Qingqing Wang,
Lijun Chao,
Jinyin Ye,
Zhijia Li,
Zhongbo Yu,
Tao Yang,
Qin Ju

Description

This data article is a presentation of data related to the research article entitled “Ground Observation-based Analysis of Soil Moisture Spatiotemporal Variability Across A Humid to Semi-Humid Transitional Zone in China”. The original soil moisture data are from the observations of the soil moisture-observing network in Anhui Province. The relative dielectric constant of the soil is measured by the DZN2 (GStar-I) automatic soil moisture sensors and then is converted to volumetric soil water content. The Kriging interpolation method is used to interpolate the site data into gridded data. Analysis of soil moisture spatiotemporal variability are used to understand the dataset.

Files