Enhancing Spatiotemporal Resolution of MCCA SMAP Soil Moisture Products over China: A Comparative Study of Machine Learning-Based Downscaling Approaches
- DOI
- 10.3390/s26041383
- Published
- 2026-02-22
- Container
- Sensors
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/s26041383,
title = {Enhancing Spatiotemporal Resolution of MCCA SMAP Soil Moisture Products over China: A Comparative Study of Machine Learning-Based Downscaling Approaches},
author = {Zhuoer Ma and Peng Chen and Hao Chen and Hang Liu and Yuchen Zhang and Binyi Huang and Yang Hong and Shizheng Sun},
year = {2026},
journal = {Sensors},
doi = {10.3390/s26041383},
url = {https://doi.org/10.3390/s26041383}
}RIS
TY - JOUR TI - Enhancing Spatiotemporal Resolution of MCCA SMAP Soil Moisture Products over China: A Comparative Study of Machine Learning-Based Downscaling Approaches AU - Zhuoer Ma AU - Peng Chen AU - Hao Chen AU - Hang Liu AU - Yuchen Zhang AU - Binyi Huang AU - Yang Hong AU - Shizheng Sun PY - 2026 JO - Sensors DO - 10.3390/s26041383 UR - https://doi.org/10.3390/s26041383 ER -
APA
Ma, Z., Chen, P., Chen, H., Liu, H., Zhang, Y., Huang, B., Hong, Y., & Sun, S. (2026). Enhancing Spatiotemporal Resolution of MCCA SMAP Soil Moisture Products over China: A Comparative Study of Machine Learning-Based Downscaling Approaches. Sensors. https://doi.org/10.3390/s26041383
Source records
- crossref · retrieved 2026-09-26T18:47:24.600Z