The following publications are possibly variants of this publication:
- Soil Moisture Inversion Based on Data Augmentation Method Using Multi-Source Remote Sensing DataYinglin Wang, Jianhui Zhao 0003, Zhengwei Guo, Huijin Yang, Ning Li 0002. remotesensing, 15(7):1899, April 2023. [doi]
- Inversion of Soil Moisture on Farmland Areas Based on SSA-CNN Using Multi-Source Remote Sensing DataRan Wang, Jianhui Zhao 0003, Huijin Yang, Ning Li 0002. remotesensing, 15(10):2515, 2023. [doi]
- Research on robust inversion model of soil moisture content based on GF-1 satellite remote sensingLinyu Luo, Yijie Li, Fei Guo, Zugui Huang, Shuang Wang, Qiuyu Zhang, Zhitao Zhang, Yifei Yao. cea, 213:108272, October 2023. [doi]
- Validating Soil Moisture with Farmers in Mind: A New Approach for Remote Sensing and Modeling in the US Corn BeltKyle DeLong, Brian K. Hornbuckle, Jun Wang, Michael H. Cosh, Daryl Herzmann. igarss 2023: 2669-2672 [doi]