Coherence Change-Detection with Sentinel-1 for Natural and Anthropogenic Disaster Monitoring in Urban Areas
Abstract
:1. Introduction
1.1. Monitoring Disasters: Anthropogenic and Natural Disasters with Remote Sensing Imagery
1.2. SAR Coherence and Change-Detection
2. Materials and Methods
2.1. Data Used
2.2. Workflow
2.3. Study Areas
3. Results
3.1. Case Studies for Detecting Changes Using CCD
3.1.1. Natural Disasters
3.1.2. Anthropogenic Disasters
3.2. Analysis
3.2.1. Coherence Response to Different Land-Use Classes
Comparison of Disasters
3.2.2. Standard Deviation Analysis
4. Discussion
5. Conclusions
Authors Contributions
Funding
Acknowledgments
Conflicts of Interest
References
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Washaya, P.; Balz, T.; Mohamadi, B. Coherence Change-Detection with Sentinel-1 for Natural and Anthropogenic Disaster Monitoring in Urban Areas. Remote Sens. 2018, 10, 1026. https://doi.org/10.3390/rs10071026
Washaya P, Balz T, Mohamadi B. Coherence Change-Detection with Sentinel-1 for Natural and Anthropogenic Disaster Monitoring in Urban Areas. Remote Sensing. 2018; 10(7):1026. https://doi.org/10.3390/rs10071026
Chicago/Turabian StyleWashaya, Prosper, Timo Balz, and Bahaa Mohamadi. 2018. "Coherence Change-Detection with Sentinel-1 for Natural and Anthropogenic Disaster Monitoring in Urban Areas" Remote Sensing 10, no. 7: 1026. https://doi.org/10.3390/rs10071026
APA StyleWashaya, P., Balz, T., & Mohamadi, B. (2018). Coherence Change-Detection with Sentinel-1 for Natural and Anthropogenic Disaster Monitoring in Urban Areas. Remote Sensing, 10(7), 1026. https://doi.org/10.3390/rs10071026