Articles | Volume 14, issue 6
https://doi.org/10.5194/essd-14-2613-2022
https://doi.org/10.5194/essd-14-2613-2022
Data description paper
 | 
08 Jun 2022
Data description paper |  | 08 Jun 2022

A 1 km daily surface soil moisture dataset of enhanced coverage under all-weather conditions over China in 2003–2019

Peilin Song, Yongqiang Zhang, Jianping Guo, Jiancheng Shi, Tianjie Zhao, and Bing Tong

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Cited articles

Albergel, C., de Rosnay, P., Gruhier, C., Munoz-Sabater, J., 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, https://doi.org/10.1016/j.rse.2011.11.017, 2012. 
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Busch, F. A., Niemann, J. D., and Coleman, M.: Evaluation of an empirical orthogonal function-based method to downscale soil moisture patterns based on topographical attributes, Hydrol. Process., 26, 2696–2709, 2012. 
Carlson, T. N., Gillies, R. R., and Perry, E. M.: A method to make use of thermal infrared temperature and NDVI measurements to infer surface soil water content and fractional vegetation cover, Remote Sens. Rev., 9, 161–173, 1994. 
Champagne, C., McNairn, H., and Berg, A. A.: Monitoring agricultural soil moisture extremes in Canada using passive microwave remote sensing, Remote Sens. Environ., 115, 2434–2444, 2011. 
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Short summary
Soil moisture information is crucial for understanding the earth surface, but currently available satellite-based soil moisture datasets are imperfect either in their spatiotemporal resolutions or in ensuring image completeness from cloudy weather. In this study, therefore, we developed one soil moisture data product over China that has tackled most of the above problems. This data product has the potential to promote the investigation of earth hydrology and be extended to the global scale.
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