Field-scale soil moisture estimated from Sentinel-1 SAR data using a knowledge-guided deep learning approach
- DOI
- 10.48550/arxiv.2505.00265
- Published
- 2025
- Container
- Not recorded
- Publisher
- arXiv
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.48550/arxiv.2505.00265,
title = {Field-scale soil moisture estimated from Sentinel-1 SAR data using a knowledge-guided deep learning approach},
author = {Yu, Yi and Filippi, Patrick and Bishop, Thomas F. A.},
year = {2025},
doi = {10.48550/arxiv.2505.00265},
url = {https://doi.org/10.48550/arxiv.2505.00265}
}RIS
TY - JOUR TI - Field-scale soil moisture estimated from Sentinel-1 SAR data using a knowledge-guided deep learning approach AU - Yu, Yi AU - Filippi, Patrick AU - Bishop, Thomas F. A. PY - 2025 DO - 10.48550/arxiv.2505.00265 UR - https://doi.org/10.48550/arxiv.2505.00265 ER -
APA
Yi, Y., Patrick, F., & A., B. T. F. (2025). Field-scale soil moisture estimated from Sentinel-1 SAR data using a knowledge-guided deep learning approach. https://doi.org/10.48550/arxiv.2505.00265
Source records
- datacite · retrieved 2026-09-25T23:56:04.734Z