This dataset contains land surface soil moisture products with SMAP time-expanded daily 0.25°×0.25°in Qinghai-Tibet Plateau Area. The dataset was produced based on the Random Forest method by utilizing passive microwave brightness temperature along with some auxiliary datasets. The temporal resolution of the product in 1980,1985,1990,1995 and 2000 is monthly, by using SMMR, SSM/I, and SSMIS brightness temperature from 19 GHz V/H and 37 GHz V channels. The temporal resolution of the product between June 20, 2002 and Dec 30, 2018 is daily, by utilizing AMSR-E and AMSR2 brightness temperature from 6.925 GHz V/H, 10.65 GHz V/H, and 36.5 GHz V channels. The auxiliary datasets participating in the Random Forest training include the IGBP land cover type, GTOPO30 DEM, and Lat/Lon information.

File naming and required software

File Naming Convention: YYYYMMDD.tiff (YYYY: year, MM: month, DD: day)
Data Version：V1
Projection：+proj=longlat +datum=WGS84 +no_defs
Data Format: GeoTIFF, 80 rows ×160 columes
Soil Moisture Unit: cm3/cm3
Soil Moisture Valid Range：0.02-0.5
Filled Value：NaN

Data Citations Data citation guideline What's data citation?

Cite as:

Chai, L., Zhu, Z., Liu, S. (2020). Land Surface Soil Moisture Dataset of SMAP Time-Expanded Daily 0.25°×0.25° over Qinghai-Tibet Plateau Area (SMsmapTE, V1). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Soil.tpdc.270948. CSTR: 18406.11.Soil.tpdc.270948. (Download the reference： RIS | Bibtex )

Related Literatures:

1. Qu, Y.Q., Zhu, Z.L., Chai, L.N., Liu, S.M., Montzka, C., Liu, J., Yang, X.F., Lu, Z., Jin, R., Li, X., Guo, Z.X., &Zheng, J. (2019). Rebuilding a Microwave Soil Moisture Product Using Random Forest Adopting AMSR-E/AMSR2 Brightness Temperature and SMAP over the Qinghai–Tibet Plateau, China. Remote Sensing, 11(6), 683.( View Details | Bibtex)

2. Liu, J., Chai, L., Lu, Z., Liu, S., Qu, Y., Geng, D., & Wang, J. (2019). Evaluation of SMAP, SMOS-IC, FY3B, JAXA, and LPRM soil moisture products over the Qinghai-Tibet Plateau and its surrounding area. Remote Sensing, 11, 792. (https://doi.org/10.3390/rs11070792)( View Details | Bibtex)

Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.

Support Program

Pan-Third Pole Environment Study for a Green Silk Road-A CAS Strategic Priority A Program (No:XDA20000000)

Copyright & License

To respect the intellectual property rights, protect the rights of data authors, expand services of the data center, and evaluate the application potential of data, data users should clearly indicate the source of the data and the author of the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results). For re-posting (second or multiple releases) data, the author must also indicate the source of the original data.

License： This work is licensed under an Attribution 4.0 International (CC BY 4.0)