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Surface Displacements Monitoring in Cyprus via InSAR and Field Investigation: The Case Studies of Pyrgos-Parekklisia and Pedoulas Villages
The island of Cyprus is characterised by a complex geological environment as it overlies a
boundary zone of three tectonic plates, leading to high seismicity and intensive tectonism. It …
boundary zone of three tectonic plates, leading to high seismicity and intensive tectonism. It …
A deep-learning-facilitated, detection-first strategy for operationally monitoring localized deformation with large-scale InSAR
SAR interferometry (InSAR) has emerged in the big-data era, particularly benefitting from the
acquisition capability and open-data policy of ESA's Sentinel-1 SAR mission. A large …
acquisition capability and open-data policy of ESA's Sentinel-1 SAR mission. A large …
[HTML][HTML] Integration of Multi-Source Datasets for Assessing Ground Swelling/Shrinking Risk in Cyprus: The Case Studies of Pyrgos–Parekklisia and Moni
The determination of swelling/shrinking phenomena, from natural and anthropogenic
activity, is examined in this study through the synergy of various remote sensing …
activity, is examined in this study through the synergy of various remote sensing …
LADSDIn: LiCSAR-Based Anomaly Detector of Seismic Deformation in InSAR
X Shi, B Pan - IEEE Journal of Selected Topics in Applied Earth …, 2023 - ieeexplore.ieee.org
Manual analysis of LiCSAR deformation data in tectonic zones and timely detection of pre-
earthquake anomalous activity are very time-consuming. To solve this problem, an LiCSAR …
earthquake anomalous activity are very time-consuming. To solve this problem, an LiCSAR …
Surface Deformation Monitoring in the **datan-Kunlun Mountain Pass Region Based on Time-series InSAR Technology
C Liu, Y Mao, Q Du - Proceedings of the 2024 9th International …, 2024 - dl.acm.org
The interferometric synthetic aperture radar (InSAR) theoretical approach, famous as a
conventional and powerful surface deformation monitoring method, can efficiently and …
conventional and powerful surface deformation monitoring method, can efficiently and …
Leveraging Machine Learning to Predict Volcanic Eruptions by Function Neural Networks
K Shyamala, YDS Raju, C Swarnalatha… - 2022 4th …, 2022 - ieeexplore.ieee.org
When it comes to volcanic eruption surveillance, techniques that rely on seismic analysis of
data tend to use automatic methods that ignore the fact that volcanic formations are varied …
data tend to use automatic methods that ignore the fact that volcanic formations are varied …