The systematic and widespread availability of cheap computing power and storage space, alongside the drastic improvement in data transmission and active sensor technologies, has triggered an increasing interest by scientific and government institutions in the use of satellite data. One of the most promising applications is to provide emergency management agencies with early warning systems for catastrophic natural events, in order to support decision making. The data used in this work are ground displacement records gathered via interferometric processing of satellite RADAR data. We provide a novel post-processing approach based on a Functional Data Analysis paradigm, and apply it to Santa Barbara mud volcano.

Functional Data Analysis for Interferometric Synthetic Aperture Radar Data Post-Processing: The case of Santa Barbara mud volcano

M. Fontana;A. Menafoglio;
2020

Abstract

The systematic and widespread availability of cheap computing power and storage space, alongside the drastic improvement in data transmission and active sensor technologies, has triggered an increasing interest by scientific and government institutions in the use of satellite data. One of the most promising applications is to provide emergency management agencies with early warning systems for catastrophic natural events, in order to support decision making. The data used in this work are ground displacement records gathered via interferometric processing of satellite RADAR data. We provide a novel post-processing approach based on a Functional Data Analysis paradigm, and apply it to Santa Barbara mud volcano.
Book of Short Papers - SIS 2020
9788891910776
Functional Data Analysis, InSAR, Remote Sensing, Conformal Prediction
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11311/1155724
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