Vittorio Miraglia
Biographic Data
| ID | 6930860 |
|---|---|
| NAME | Vittorio Miraglia |
| GIVEN NAMES | Vittorio |
| FAMILY NAME | Miraglia |
| SIGNATURE | MIRAGLIA V |
| AFFILIATIONS | University of Naples Federico II |
| ORCID | 0009-0005-1817-4142 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
A GIS-Based Framework to Analyze the Behavior of Urban Greenery During Heatwaves Using Satellite Data
This work proposes a new unsupervised method to evaluate the behavior of urban green areas in the presence of heatwave scenarios by analyzing three indices extracted from satellite data: the Normalized Difference Vegetation Index (NDVI), the Normalized Difference Moisture Index (NDMI), and Land Surface Temperature (LST). The aim of this research is to analyze the behavior of urban vegetation types during heatwaves through the analysis of these th…
A GIS-Based Emotion Detection Framework for Multi-Risk Analysis in Urban Settlements
The application of sentiment analysis approaches to information flows extracted from the social networks connected to particular critical periods generated by pandemic, climatic and extreme environmental phenomena allow the decision maker to detect the emotional states of citizens and to determine which areas are most at risk and require specific resilient adaptation interventions. Of particular relevance today is the need to analyze the multiple…
No prominent works on this page.
A GIS-Based Framework to Analyze the Behavior of Urban Greenery During Heatwaves Using Satellite Data
This work proposes a new unsupervised method to evaluate the behavior of urban green areas in the presence of heatwave scenarios by analyzing three indices extracted from satellite data: the Normalized Difference Vegetation Index (NDVI), the Normalized Difference Moisture Index (NDMI), and Land Surface Temperature (LST). The aim of this research is to analyze the behavior of urban vegetation types during heatwaves through the analysis of these th…
A GIS-Based Emotion Detection Framework for Multi-Risk Analysis in Urban Settlements
The application of sentiment analysis approaches to information flows extracted from the social networks connected to particular critical periods generated by pandemic, climatic and extreme environmental phenomena allow the decision maker to detect the emotional states of citizens and to determine which areas are most at risk and require specific resilient adaptation interventions. Of particular relevance today is the need to analyze the multiple…
Environmental Science (2 works) · Geography (2 works) · Aerospace Engineering (1 work) · Climate change (1 work) · Climatology (1 work) · Coronavirus disease 2019 (COVID-19 (1 work) · COVID-19 epidemiological studies (1 work) · COVID-19 Pandemic Impacts (1 work) · Ecology (1 work) · Engineering (1 work)