Ondieki (2026) Machine learning-driven multi-sensor and cross-frequency SAR fusion for high-resolution soil moisture retrieval: integrating LSTM networks, cross-sensor calibration and multi-source data synergy

Identification

• Journal: IRIS Research product catalog (Sapienza University of Rome)
• Year: 2026
• Date: 2026-01-27
• Authors: Jephter Ondieki
• DOI: None

Research Groups

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Citation

@article{Ondieki2026Machine,
  author = {Ondieki, Jephter},
  title = {Machine learning-driven multi-sensor and cross-frequency SAR fusion for high-resolution soil moisture retrieval: integrating LSTM networks, cross-sensor calibration and multi-source data synergy},
  journal = {IRIS Research product catalog (Sapienza University of Rome)},
  year = {2026},
  url = {https://openalex.org/W7130804095}
}