Leveraging satellite data for effective wildfire monitoring and environmental policy support
Musto, Vincenzo Rosario (A.A. 2023/2024) Leveraging satellite data for effective wildfire monitoring and environmental policy support. Tesi di Laurea in Data visualization, Luiss Guido Carli, relatore Blerina Sinaimeri, pp. 67. [Master's Degree Thesis]
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Abstract/Index
Literature review. Overview. The efficacy of Italian police forces’ wildfires damage monitoring dash. Developing an integrated wildfire damage monitoring dashboard. Synergy between ground observations and satellite data for wildfire damage assessment. The feasibility and practicality of integrating ground-based measurements. Utilizing satellite data to assess the impact of wildfires on air quality in Italy. Data-driven approach to understand the impact of wildfires on air quality. Application of remote sensing indices in classifying burn severity and detecting burnt areas in Italy. Integrating artificial intelligence for enhanced wildfire damage assessment and monitoring. The effectiveness of data cubes and cloud infrastructure in wildfire damage monitoring. Methodology. Data retrieval. Data preprocessing. Explorative data analysis. Investigating wildfires through data cubes and sentinels data. Results and discussion. Insights on exploratory data analysis. Pre-fire and post-fire image analysis with sentinel-2. Proof of concept: pre-fire and post-fire air pollution analysis with sentinel-5p. Presenting the results through an interactive online dashboard.
References
Bibliografia: pp. 60-67.
| Thesis Type: | Master's Degree Thesis |
|---|---|
| Institution: | Luiss Guido Carli |
| Degree Program: | Master's Degree Programs > Master's Degree Program in Data Science e Management (LM-91) |
| Chair: | Data visualization |
| Thesis Supervisor: | Sinaimeri, Blerina |
| Thesis Co-Supervisor: | Morandini, Lorenza |
| Academic Year: | 2023/2024 |
| Session: | Summer |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 28 Jan 2025 11:28 |
| Last Modified: | 28 Jan 2025 11:28 |
| URI: | https://tesi.luiss.it/id/eprint/41034 |
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