The Use of Satellite TIR Time Series for Thermal Anomalies’ Detection on Natural and Urban Areas †
Abstract
:1. Introduction
2. Materials and Methods
- for Solfatara-Campi Flegrei, the ground measurements collected by permanent thermal cameras installed in Solfatara volcano. The images have been reprojected to have the same point of view as the satellite;
- for Parco delle Biancane, the TIR images acquired using thermal cameras mounted on drones and collected during three separated field campaigns synchronized with satellite passages;
- for Modena, weather stations at the 4 stations around Modena city.
3. Results and Discussion
4. Conclusions
- the methodologies used to obtain LST also produce reliable temperature estimates in the very particular case of geothermal anomalies and are usable for near ground air temperature trends’ analysis;
- the PCA allows us to extract the dominant patterns within the time series to detect thermal anomalies, offering a good and easy way to produce very detailed maps of the thermal anomalies in both geothermal areas and in urban areas (UHI);
- the PCA allows for the differentiation of the surface cover without using other re-mote sensing images in VIS/NIR or auxiliary classification products. This differentiation improves the analysis of the thermal behavior of the surfaces.
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Data | Number of Processed Images | ||
---|---|---|---|
Solfatara-Campi Flefrei | Parco delle Biancane | Modena City | |
LST-ASTER | 40 | 20 | NA |
LST-Landsat 8 | 55 | 40 | 43 |
TOTAL LST | 95 | 60 | 43 |
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Silvestri, M.; Rabuffi, F.; Musacchio, M.; Teggi, S.; Buongiorno, M.F. The Use of Satellite TIR Time Series for Thermal Anomalies’ Detection on Natural and Urban Areas. Eng. Proc. 2021, 5, 5. https://doi.org/10.3390/engproc2021005005
Silvestri M, Rabuffi F, Musacchio M, Teggi S, Buongiorno MF. The Use of Satellite TIR Time Series for Thermal Anomalies’ Detection on Natural and Urban Areas. Engineering Proceedings. 2021; 5(1):5. https://doi.org/10.3390/engproc2021005005
Chicago/Turabian StyleSilvestri, Malvina, Federico Rabuffi, Massimo Musacchio, Sergio Teggi, and Maria Fabrizia Buongiorno. 2021. "The Use of Satellite TIR Time Series for Thermal Anomalies’ Detection on Natural and Urban Areas" Engineering Proceedings 5, no. 1: 5. https://doi.org/10.3390/engproc2021005005