Dell'Aglio, Domenico Antonio Giuseppe (2020) Synthetic Aperture Radar for Natural Hazards Observation: from Acquisition Geometry to Applications to Landslides. [Tesi di dottorato]
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| Item Type: | Tesi di dottorato |
|---|---|
| Resource language: | English |
| Title: | Synthetic Aperture Radar for Natural Hazards Observation: from Acquisition Geometry to Applications to Landslides |
| Creators: | Creators Email Dell'Aglio, Domenico Antonio Giuseppe domenicoantoniogiuseppe.dellaglio@unina.it |
| Date: | 2020 |
| Institution: | Università degli Studi di Napoli Federico II |
| Department: | Ingegneria Elettrica e delle Tecnologie dell'Informazione |
| Dottorato: | Information technology and electrical engineering |
| Ciclo di dottorato: | 32 |
| Coordinatore del Corso di dottorato: | nome email Riccio, Daniele daniele.riccio@unina.it |
| Tutor: | nome email Iodice, Antonio UNSPECIFIED |
| Date: | 2020 |
| Keywords: | Remote sensing |
| Settori scientifico-disciplinari del MIUR: | Area 09 - Ingegneria industriale e dell'informazione > ING-INF/02 - Campi elettromagnetici |
| Date Deposited: | 05 Apr 2020 15:05 |
| Last Modified: | 10 Nov 2021 09:40 |
| URI: | http://www.fedoa.unina.it/id/eprint/13098 |
Collection description
The research topics of this Thesis are related to the remote sensing field using Synthetic Aperture Radar (SAR) data. The research activities started from the idea that remote sensing techniques and applications play a key rule in the Earth observation. Especially nowadays, where the effects of climate change on our life is more and more evident. Starting from this general statement, three research topics were identified and investigated. The first one concerns the SAR acquisition modes. In particular, we present a unified formulation able to express SAR raw signals for any acquisition geometry. This formulation is then used to show that raw signals simulation of extended scenes can be achieved taking also accounting for sensor trajectory deviations. The second topic has been conducted during the 2019, under the aegis of the Progressive Systems Srl. The focus of my specific research activity has been to evaluate a preliminary multi-temporal analysis of Sentinel-1 data for the monitoring of subsidence phenomena on two selected target: the Fiumicino Airport and the Brumadinho dam. The third topic can be considered complementary to the second one. In this case, the suitability of space-borne SAR Sub-Pixel Offset Tracking technique for the long-term monitoring of landslides in vegetated areas has been investigated. In particular, the case study of the Slumgullion landslide (Colorado, US) has been explored.
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