Application of DInSAR Technique to High Coherence Sentinel-1 Images for Dam Monitoring and Result Validation Through In Situ Measurements
| Autor: | Pia Addabbo, Diego Di Martire, Cesario Vincenzo Angelino, Silvia Liberata Ullo, Luca Cicala, Stefania Sica, N. Fiscante |
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| Přispěvatelé: | Silvia Liberata Ullo, Pia, Addabbo, DI MARTIRE, Diego, Sica, Stefania, Nicomino, Fiscante, Cicala, Luca, Angelino, CESARIO VINCENZO |
| Rok vydání: | 2019 |
| Předmět: |
Synthetic aperture radar
Atmospheric Science Data processing 010504 meteorology & atmospheric sciences Computer science 0211 other engineering and technologies 02 engineering and technology 01 natural sciences Critical infrastructure Workflow Coherence (signal processing) Computers in Earth Sciences 021101 geological & geomatics engineering 0105 earth and related environmental sciences Remote sensing |
| Zdroj: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 12:875-890 |
| ISSN: | 2151-1535 1939-1404 |
| Popis: | Dam monitoring represents a crucial issue in order to avoid catastrophic failures due to infrastructure aging or earthquake damages. Differential SAR Interferometry (DInSAR) is a technique suitable for critical infrastructure monitoring, also for the availability of free data and tools, that can be used by experts in SAR remote sensing and also by geologists and civil engineers, after having acquired the right confidence and experience in these data processing and tool use. In order to apply the DInSAR technique, in its basic and simple version, to critical infrastructure monitoring, it is very important to assess its performance. Nevertheless, validation results are not largely available in literature, because heterogeneous technical competencies are required to this aim and in situ measurements must be collected and made available. In this paper, we propose a highly reproducible DInSAR workflow that can be effectively used for dam monitoring, by validating its results with in situ measurements on some significant case studies in Italy. |
| Databáze: | OpenAIRE |
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