Multi-frequency and multi-angular ground-based microwave radiometer and surface parameters experimental data for cropland in 2017- A Big Earth Data Platform for Three Poles

This data set was collected in summer 2017 during the ground-based microwave radiometry experiment, which is part of the Soil Moisture Experiment in the Luan River (SMELR). The experiment site is located in Duolun County, Inner Mongolia (116.47°E, 42.18°N, at 1269 m in altitude). The data set contains three parts, namely brightness temperature data, soil data and vegetation data. The microwave brightness temperature data was observed by a vehicle-mounted dual-polarized multi-frequency radiometer (RPG-6CH-DP), including the horizontal (H) and vertical (V) polarization brightness temperatures at L-, C- and X-bands. The brightness temperature data were acquired from 30° to 65° with an interval of 2.5°, and the time resolution is 0.5 hours. Soil data contains 5 layers of soil moisture and soil temperature (2.5 cm, 10 cm, 20 cm, 30 cm, 50 cm) over three croplands (corn, oats, and buckwheat), with sampling intervals of 10 minutes. The soil data also contains soil surface roughness, rainfall, irrigation flags, and soil texture. Vegetation data contains leaf area index, plant height, vegetation water content, etc.

The experimental period lasted from July 19 to August 30, 2017, and it provided important data for the land surface microwave radiation modeling and validation, as well as the development of soil moisture retrieval algorithms.

File naming and required software

The data file is saved in xlsx format and is named as: DuolunExp+ '_ParaName'. 'ParaName' represents the abbreviation of the observed parameter. For example, the brightness temperature is named as 'DuolunExp_TB.xlsx', the soil data set is named as 'DuolunExp_Soil.xlsx' and the vegetation data is named as 'DuolunExp_Veg.xlsx'.
Data reading method: The data set can be directly opened with Excel.

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Cite as:

Zhao, T., Hu, L., Li, S., Fan, D., Wang, P., Geng, D., Shi, J. (2021). Multi-frequency and multi-angular ground-based microwave radiometer and surface parameters experimental data for cropland in 2017. A Big Earth Data Platform for Three Poles, DOI: 10.11888/Soil.tpdc.271622. CSTR: 18406.11.Soil.tpdc.271622. (Download the reference： RIS | Bibtex )

Related Literatures:

1. Zhao, T.J., Shi, J.C., Lv, L.Q., Xu, H.X., Chen, D.Q., Cui, Q., Jackson, T.J., Yan, G.J., Jia, L., Chen, L.F., Zhao, K., Zheng, X.M., Zhao, L.M., Zheng, C.L., Ji, D.B., Xiong, C., Wang, T.X., Li, R., Pan, J.M., Wen, J.G., Yu, C., Zheng, Y.M., Jiang, L.M., Chai, L.N., Lu, H., Yao, P.P., Ma, J.W., Lv, H.S., Wu, J.J., Zhao, W., Yang, N., Guo, P., Li, Y.X., Hu, L., Geng, D.Y., & Zhang, Z.Q. (2020). Soil moisture experiment in the Luan River supporting new satellite mission opportunities. Remote Sensing of Environment, 240.( View Details | Download | Bibtex)

2. Zhao, T.J., Hu, L., Shi, J.C., Lü, H.S., Li, S.N., Fan, D., Wang, P.K., Geng, D.Y., Kang, C.S., & Zhang, Z.Q. (2020). Soil moisture retrievals using L-band radiometry from variable angular ground-based and airborne observations. Remote Sensing of Environment, 248, 111958.( View Details | Bibtex)

3. Zhao, T.J., Shi, J.C., Entekhabi, D., Jackson, T.J., Hu, L., Peng, Z.Q., Yao, P.P., Li, S.N., & Kang, C.S. (2021). Retrievals of soil moisture and vegetation optical depth using a multi-channel collaborative algorithm. Remote Sensing of Environment, 257, 112321.( View Details | Bibtex)

4. Zhao, T.J., Shi, J.C., Xu, H.X., Sun, Y.L. Chen, D.Q, Cui, Q., Jia, L., Huang, S., Niu, S.D., Li, X.W., Yan, G.J.,Chen, F.L., Liu, Q.H. Zhao, K., Zheng, X.m., Zhao, L.M., Zheng, C.L., Ji, D.B., Xiong, C., Wang, T.X., Li, R., Pan, J.M., Wen, J.G., Mu, X.H., Yu, C., Zheng, Y.M., Jiang, L.M., Chai, L.N., Lu, H., Yao, P.P., Ma, J.W., Lv, H.S., Wu, J.J., Zhao, W., Yang, N., Guo, P., Li, Y.X., Hu, L., Geng, D.Y., Zhang, Z.Q., Hu, J.F., & Du, A.P. (2021). Comprehensive remote sensing experiment of water cycle and energy balance in the Shandian river basin. Journal of Remote Sensing, 25(4), 871-887.( View Details | Bibtex)

5. Yan, G.J., Zhao, T.J., Mu, X.H., Wen, J.G., Pang, Y., Zhang, Y.G., Chen, D.Q., Yao, C.Z., Cao, Z.Y., Lei, Y.H., Ji, D.B., Chen, L.F., Liu, Q.H., Lv, L.Q., Chen, J.M., & Shi, J.C. (2021). Comprehensive remote sensing experiment of carbon cycle, water cycle and energy balance in Luan River Basin. Journal of Remote Sensing, 25(4), 856-870.( 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

Satellite observation and simulation studies of the land surface water and energy exchange processes and its effects on global changes (No:2015CB953700)

Application of Remote Sensing in Water Resources Management in Northeast Thailand (No:2016YFE0117300)

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