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Multi-Temporal InSAR and Machine Learning for Geohazard Monitoring: A Systematic Review with Emphasis on Noise Mitigation and Model Transferability.

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Title: Multi-Temporal InSAR and Machine Learning for Geohazard Monitoring: A Systematic Review with Emphasis on Noise Mitigation and Model Transferability.
Authors: Alonso-Díaz, Alex1 (AUTHOR) alexalonsodiaz@cud.uvigo.es, Fontes, Miguel2,3 (AUTHOR), Teixeira, Ana Cláudia2,3 (AUTHOR), Wdowinski, Shimon4 (AUTHOR), Sousa, Joaquim J.1,2,3 (AUTHOR)
Source: Remote Sensing. May2026, Vol. 18 Issue 9, p1356. 44p.
Database: Academic Search Ultimate
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  Data: Multi-Temporal InSAR and Machine Learning for Geohazard Monitoring: A Systematic Review with Emphasis on Noise Mitigation and Model Transferability.
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  Data: <searchLink fieldCode="JN" term="%22Remote+Sensing%22">Remote Sensing</searchLink>. May2026, Vol. 18 Issue 9, p1356. 44p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=193715387
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        Value: 10.3390/rs18091356
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        Text: English
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      – TitleFull: Multi-Temporal InSAR and Machine Learning for Geohazard Monitoring: A Systematic Review with Emphasis on Noise Mitigation and Model Transferability.
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              Text: May2026
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              Y: 2026
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