Bingze Li, Chunmei Wang, Xingfa Gu, Xiang Zhou et al. 2022. Accuracy calibration and evaluation of capacitance-based soil moisture sensors for a variety of soil properties. Agricultural Water Management, 273, 107913. https://doi.org/10.1016/j.agwat.2022.107913.
Leran Han, Chunmei Wang, Tao Yu, Xingfa Gu et al. High-Precision soil moisture mapping based on multi-model coupling and background knowledge, over vegetated areas using Chinese GF-3 and GF-1 satellite data. Remote Sensing, 2020, 12(13):2123.
SONTE-China
Country | China |
Stations | 20 |
Organisation | Aerospace Information Research Institute, Chinese Academy of Sciences, and National Engineering Research Center of Satellite Remote Sensing Applications |
Contacts | Chunmei Wang , Xingfa Gu , Xiang Zhou , Jian Yang |
Website | no link available |
Official References | |
Abstract |
An automatic soil observation network in typical ecosystems in China (SONTE-China) was established by the Aerospace Information Research Institute (AIR), Chinese Academy of Sciences (CAS), and National Engineering Research Center of Satellite Remote Sensing Applications(NECRSA), which were of the same unified sensor, unified sample design, unified acquisition depth, unified calibration method, unified data processing process. SONTE-China covers the main ecosystems (including grassland, farmland, desert and forest) and dry and wet climate zones in China. It can automatically obtain pixel scale soil temperature and soil moisture, which can not only serve the development and verification of high-resolution satellite remote sensing soil moisture products but also provide basic data for research in the fields of weather forecasting, flood forecasting, agricultural drought monitoring and water resources management.
|
Variables measured |
soil moisture soil temperature |
Depths of soil moisture measurements |
0.05 - 0.05 m 0.10 - 0.10 m 0.20 - 0.20 m 0.40 - 0.40 m |
Soil Moisture sensors used |
5TM |
Data availability | from 2020-12-31 to 2022-12-31 |
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