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Maria Antonia Brovelli

2 papers indexed

crossrefRemote Sensing2024-09-11Cited by 31

Hazard Susceptibility Mapping with Machine and Deep Learning: A Literature Review

Angelly de Jesus Pugliese Viloria, Andrea Folini, Daniela Carrion, Maria Antonia Brovelli

With the increase in climate-change-related hazardous events alongside population concentration in urban centres, it is important to provide resilient cities with tools for understanding and eventually preparing for such events. Machine learning (ML) and deep learning (DL) techni…

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crossrefRemote Sensing2023-11-16Cited by 21

Machine and Deep Learning Regression of Chlorophyll-a Concentrations in Lakes Using PRISMA Satellite Hyperspectral Imagery

Juan Francisco Amieva, Daniele Oxoli, Maria Antonia Brovelli

The estimation of Chlorophyll-a concentration is crucial for monitoring freshwater ecosystem health, particularly in lakes, as it is closely linked to eutrophication processes. Satellite imagery enables synoptic and frequent evaluations of Chlorophyll-a in water bodies, providing…

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