Aggeliki Kyriou on Muck Rack

Aggeliki Kyriou

As seen in: MDPI
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Articles

Geological and 3D Image Analysis toward Protecting a Geosite: The Case Study of Falakra, Limnos, Greece

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By Ioannis K Koukouvelas, Aggeliki Kyriou, Konstantinos G Nikolakopoulos, Georgios Dimaris
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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UAV, GNSS, and GIS for the Rapid Assessment of Multi-Occurrence Landslides

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By Konstantinos G Nikolakopoulos, Aggeliki Kyriou, Ioannis K Koukouvelas
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Is the Mesochori Fault a Key Structure for Understanding the Earthquake Activity during the 2021 Damasi Earthquakes in Northern Thessaly, Greece?

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By Ioannis K Koukouvelas, Riccardo Caputo, Konstantinos G Nikolakopoulos, Aggeliki Kyriou
| MDPI
3. Palaeoseismology across the Mesochori Fault Palaeoseismology, the study of past earthquakes, is a technique based on trenches excavation across simple or composite fault scarps and colluvial tectonostratigraphy investigations. Trenches for studying past earthquakes are generally excavated across fault traces where instrumental or historical surface-rupturing earthquakes of the past centuries are documented or at least suspected (e.g., [23,24,31]).
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