Data di Pubblicazione:
2020
Abstract:
Remote sensing provides almost global spatial coverage, but with limits in resolution and accuracy. Ground stations, conversely, provide very accurate coverage with high temporal resolution, but sparse and pointwise. What's missing from this picture is accurate local knowledge with a high spatial resolution, making it possible to understand and analyse local phenomena to their full spatial extent. To fill the gap, we propose a paradigm shift in field sampling; environmental surveys that are dramatically cheaper, quicker and easier to perform, and the ability to perform visualisation and analysis tasks as the survey progresses. This is made possible by a real-time adaptive sampling method, embedded within a mobile observation platform. The method continuously guides and refines samples acquisition while in the field, elaborating the variable distribution and its related uncertainty along with the sampling process.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
N/A
Elenco autori:
Berretta, Serena; Spagnuolo, Michela; Mortara, Michela; Cabiddu, Daniela
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