{"id":108325,"date":"2024-01-25T15:28:09","date_gmt":"2024-01-25T15:28:09","guid":{"rendered":"https:\/\/www.bgs.ac.uk\/?post_type=person&p=108325"},"modified":"2024-01-25T15:28:10","modified_gmt":"2024-01-25T15:28:10","slug":"hourston-holly","status":"publish","type":"person","link":"https:\/\/www.bgs.ac.uk\/people\/hourston-holly\/","title":{"rendered":"Holly Hourston"},"content":{"rendered":"\t\t\t
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Holly Hourston is a remote sensing scientist in the Geodesy and Remote Sensing group within the Multi-hazards and Resilience challenge area. Her early academic career varied across modelling future gravitational wave observations using Bayesian inference, to studying the organic chemistry of meteorites in laboratory settings. In her role at BGS, she analyses Interferometric Synthetic Aperture Radar (InSAR) data to study ground deformations due to various geological influences, and is developing machine learning algorithms and statistical approaches to automate geological interpretations of InSAR data. She has other scientific interests in planetary science, hazard monitoring and understanding cascading hazards in vulnerable locations.<\/p>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\n\t\t\t\t

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