Articles | Volume 13, issue 7
Earth Syst. Sci. Data, 13, 3239–3261, 2021
Earth Syst. Sci. Data, 13, 3239–3261, 2021
Data description paper
07 Jul 2021
Data description paper | 07 Jul 2021

A fine-resolution soil moisture dataset for China in 2002–2018

Xiangjin Meng et al.

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Cited articles

Afshar, M. and Yilmaz, M.: The added utility of nonlinear methods compared to linear methods in rescaling soil moisture products, Remote Sens. Environ., 196, 224–23,, 2017. 
Albergel, C., Rosnay, P. D., Gruhier, C., Muño-Sabater, J. S., Hasenauer, S., Isaksen, L., Kerr, Y., and Wagner. W.: Evaluation of remotely sensed and modelled soil moisture products using global ground-based in situ observations, Remote Sens. Environ., 118, 215–226,, 2012. 
Albergel, C., Dorigo, W., Balsamo, G., Muñoz-Sabatera, J., de Rosnay, P., Isaksen, L., and Wagner, W.: Monitoring multi-decadal satellite earth observation of soil moisture products through land surface reanalyses, Remote Sens. Environ., 138, 77–89,, 2013. 
Al-Yaari, A., Wigneron J. P., Dorigo, W., Colliander, A., Pellarin, T., Hahn, S., Mialon, A., Richaume, P., Fernandez-Moran, R., Fan, L., Kerr, Y., and Lannoy, G.: Assessment and inter-comparison of recently developed/reprocessed microwave satellite soil moisture products using ISMN ground-based measurements, Remote Sens. Environ., 224, 289–303,, 2019. 
Bhagat, S. V.: Space-borne passive microwave remote sensing of soil moisture: A review, Recent Patents on Space Technology, 4, 119–150,, 2014. 
Short summary
In order to improve the accuracy of China's regional agricultural drought monitoring and climate change research, we produced a long-term series of soil moisture products by constructing a time and depth correction model for three soil moisture products with the help of ground observation data. The spatial resolution is improved by building a spatial weight decomposition model, and validation indicates that the new product can meet application needs.