Soil Moisture Retrieval from the Integration of SMAP and ASCAT Using Machine Learning Approach. Ma, H., Zeng, J., Chen, N., Zhang, X., Li, X., & Wigneron, J. In IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, pages 3190–3193, Pasadena, CA, USA, July, 2023. IEEE.
Soil Moisture Retrieval from the Integration of SMAP and ASCAT Using Machine Learning Approach [link]Paper  doi  bibtex   
@inproceedings{ma_soil_2023,
	address = {Pasadena, CA, USA},
	title = {Soil {Moisture} {Retrieval} from the {Integration} of {SMAP} and {ASCAT} {Using} {Machine} {Learning} {Approach}},
	copyright = {https://doi.org/10.15223/policy-029},
	isbn = {9798350320107},
	url = {https://ieeexplore.ieee.org/document/10283186/},
	doi = {10.1109/IGARSS52108.2023.10283186},
	urldate = {2024-11-15},
	booktitle = {{IGARSS} 2023 - 2023 {IEEE} {International} {Geoscience} and {Remote} {Sensing} {Symposium}},
	publisher = {IEEE},
	author = {Ma, Hongliang and Zeng, Jiangyuan and Chen, Nengcheng and Zhang, Xiang and Li, Xiaojun and Wigneron, Jean-Pierre},
	month = jul,
	year = {2023},
	pages = {3190--3193},
}

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