SMN-SDR

Zhao, T., Shi, J., Lv, L., Xu, H., Chen, D., Cui, Q., Jackson, T.J., Yan, G., Jia, L., Chen, L., Zhao, K., Zheng, X., Zhao, L., Zheng, C., Ji, D., Xiong, C., Wang, T., Li, R., Pan, J., Wen, J., Yu, C., Zheng, Y., Jiang, L., Chai, L., Lu, H., Yao, P., Ma, J., Lv, H., Wu, J., Zhao, W., Yang, N., Guo, P., Li, Y., Hu, L., Geng, D., Zhang, Z., 2020. Soil moisture experiment in the Luan River supporting new satellite mission opportunities. Remote Sensing of Environment 240, 111680. https://doi.org/10.1016/j.rse.2020.111680;

Zheng, J., Zhao, T., Lü, H., Shi, J., Cosh, M.H., Ji, D., Jiang, L., Cui, Q., Lu, H., Yang, K., Wigneron, J.-P., Li, X., Zhu, Y., Hu, L., Peng, Z., Zeng, Y., Wang, X., Kang, C.S., 2022. Assessment of 24 soil moisture datasets using a new in situ network in the Shandian River Basin of China. Remote Sensing of Environment 271, 112891. https://doi.org/10.1016/j.rse.2022.112891;