Toward Field Level Drought and Irrigation Monitoring Using Machine Learning Based High-Resolution Soil Moisture (ML-HRSM) Data. Yang, Z., Huang, J., & Zhang, Z. In IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, pages 3570–3573, Pasadena, CA, USA, July, 2023. IEEE. ![Toward Field Level Drought and Irrigation Monitoring Using Machine Learning Based High-Resolution Soil Moisture (ML-HRSM) Data [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi bibtex @inproceedings{yang_toward_2023,
address = {Pasadena, CA, USA},
title = {Toward {Field} {Level} {Drought} and {Irrigation} {Monitoring} {Using} {Machine} {Learning} {Based} {High}-{Resolution} {Soil} {Moisture} ({ML}-{HRSM}) {Data}},
copyright = {https://doi.org/10.15223/policy-029},
isbn = {9798350320107},
url = {https://ieeexplore.ieee.org/document/10283282/},
doi = {10.1109/IGARSS52108.2023.10283282},
urldate = {2024-11-15},
booktitle = {{IGARSS} 2023 - 2023 {IEEE} {International} {Geoscience} and {Remote} {Sensing} {Symposium}},
publisher = {IEEE},
author = {Yang, Zhengwei and Huang, Jingyi and Zhang, Zhou},
month = jul,
year = {2023},
pages = {3570--3573},
}
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