Detecting Slope and Urban Potential Unstable Areas by Means of Multi-Platform Remote Sensing Techniques: The Volterra (Italy) Case Study
Abstract
:1. Introduction
2. Study Area and Description of 2014 Failure Events
3. The Applied Remote Sensing Monitoring Techniques
3.1. Persistent Scatterer Synthetic Aperture Radar Interferometry (PS-InSAR)
3.2. Ground-Based Radar Interferometry (GB-InSAR)
3.3. Infrared Thermography (IRT)
3.4. The Multiplatform Monitoring System
4. Results
4.1. Persistent Scatterer Interferometry (PSI) Analysis and Results: Large-Scale Urban Detection
4.2. GB-InSAR Monitoring of the Medieval City Walls (Slope Scale Analysis)
4.3. Building Scale IRT Survey
5. Discussion
6. Conclusions
Acknowledgments
Author Contributions
Conflicts of Interest
References
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Feature | PS | GB-InSAR-1 | GB-InSAR-2 | IRT |
---|---|---|---|---|
Wavelength | X-band (3.1 cm) | Ku band (1.35 cm) | Ku band (1.35 cm) | LW-IR (7.5–13 µ) |
Revisiting time | 16 days | ≈4 min | ≈1 min | 2 surveys/year |
Image resolution | 3 × 3 m | 0.3 (@100 m) × 0.75 | 0.8 (@100 m) × 1 | 0.65 mrad |
Coverage/Maximum distance/Range | 24 km2 | 800 m | 1050 m | (−40 + 500 °C) |
Accuracy | ±1–5 mm | <1 mm | <1 mm | ±2 °C |
Acquisition date | 24/02/2010–07/01/2015 | 19/02/2014–26/11/2015 | 27/01/2015–26/11/2015 | 25/05/2015–02/12/2015 |
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Nolesini, T.; Frodella, W.; Bianchini, S.; Casagli, N. Detecting Slope and Urban Potential Unstable Areas by Means of Multi-Platform Remote Sensing Techniques: The Volterra (Italy) Case Study. Remote Sens. 2016, 8, 746. https://doi.org/10.3390/rs8090746
Nolesini T, Frodella W, Bianchini S, Casagli N. Detecting Slope and Urban Potential Unstable Areas by Means of Multi-Platform Remote Sensing Techniques: The Volterra (Italy) Case Study. Remote Sensing. 2016; 8(9):746. https://doi.org/10.3390/rs8090746
Chicago/Turabian StyleNolesini, Teresa, William Frodella, Silvia Bianchini, and Nicola Casagli. 2016. "Detecting Slope and Urban Potential Unstable Areas by Means of Multi-Platform Remote Sensing Techniques: The Volterra (Italy) Case Study" Remote Sensing 8, no. 9: 746. https://doi.org/10.3390/rs8090746