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Data Details

20-m/12-d Soil Moisture Dataset covers Panzhuang Irrigation District of China (2020)

WANG Junjie1SHI Huijuan2WEI Zheng*3LIN Rencai3WANG Jin4ZHANG Di3
1 Operation and Maintenance Center of Panzhuang Irrigation District,Dezhou 253000,China2 Water Conservancy Bureau of Dezhou,Dezhou 253014,China3 China Institute of Water Resources and Hydropower Research,Beijing 100038,China4 Aerospace Information Research Institute,Chinese Academy of Sciences,Beijing 100101,China


Published:Oct. 2021

Visitors:6551       Data Files Downloaded:68      
Data Downloaded:16080.75 MB      Citations:

Key Words:

soil moisture,Sentinel-1,back scattering coefficient,Panzhaung Irrigation District,Shandong


Soil moisture is an important factor affecting energy cycle, water-carbon cycle, agricultural process, hydrometeorology and so on. The 20-m/12-d Soil Moisture Dataset covers Panzhuang Irrigation District of China (2020) was developed based on the series Sentinel-1 SAR images in 2020. A linear regression model was established between the backscattering coefficient and surface soil moisture. At the same time, the method of supporting vector machine in machine learning was used to identify and extract the farmland in Panzhuang of China. The dataset includes: (1) boundary data of Panzhuang Irrigation District; (2) soil moisture data in 31 periods of 2020. The temporal resolution is 12 d and the spatial resolution is 20 m. The dataset is archived in .shp and .tif data formats, and consists of 43 data files with data size of 5.16 GB (compressed to 4 files with 1.09 GB).Browse

Foundation Item:

Ministry of Science and Technology of P. R. China (2017YFC0403202)

Data Citation:

WANG Junjie, SHI Huijuan, WEI Zheng*, LIN Rencai, WANG Jin, ZHANG Di. 20-m/12-d Soil Moisture Dataset covers Panzhuang Irrigation District of China (2020)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2021.

WANG Junjie ,SHI Huijuan, WEI Zheng, et al. 20-m/12-d surface soil moisture dataset for the Panzhuang Irrigation District of China (2020) [J]. Journal of Global Change Data & Discovery, 2022, 6(1): 133–141.


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Data Product:

ID Data Name Data Size Operation
1 PanzhuangIrrigationDistrict.rar 32.60KB
2 SM_Panzhuang_2020_1.rar 374267.21KB
3 SM_Panzhuang_2020_2.rar 368160.98KB
4 SM_Panzhuang_2020_3.rar 409018.46KB