This dataset contains SMAP time-expanded daily 0.25°×0.25° land surface soil moisture products in Qilian Mountain Area from June 19, 2002 to Dec 31, 2021. The dataset was produced based on Random Forest method 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 along with some auxiliary datasets. The auxiliary datasets participating in the RF training include IGBP land cover type, GTOPO30 DEM and Lat/Lon information.

File naming and required software

File Naming Convention: YYYYMM.tiff (YYYY: year, MM: month)；Data Version：V1；Projection：+proj=longlat +datum=WGS84 +no_defs；Data Format: GeoTIFF, 44 rows ×72 columes；Soil Moisture Unit: cm3/cm3；Soil Moisture Valid Range：0.02-0.5；Filled Value：NaN

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Cite as:

Chai, L., Zhu, Z., Liu, S. (2019). AMSR-E and AMSR2 TB-based SMAP time-expanded daily 0.25°×0.25° land surface soil moisture dataset in Qilian Mountain Area (SMsmapTE, V1). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Geogra.tpdc.270235. CSTR: 18406.11.Geogra.tpdc.270235. (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

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