Methodology for Detection and Interpretation of Ground Motion Areas with the A-DInSAR Time Series Analysis
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Title
Methodology for Detection and Interpretation of Ground Motion Areas with the A-DInSAR Time Series Analysis
Authors
Keywords
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Journal
Remote Sensing
Volume 8, Issue 8, Pages 686
Publisher
MDPI AG
Online
2016-08-22
DOI
10.3390/rs8080686
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- Natural versus anthropogenic subsidence of Venice
- (2013) Luigi Tosi et al. Scientific Reports
- Multi-temporal mapping of land subsidence at basin scale exploiting Persistent Scatterer Interferometry: case study of Gioia Tauro plain (Italy)
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- Sinking cities in Indonesia: ALOS PALSAR detects rapid subsidence due to groundwater and gas extraction
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- A New Algorithm for Processing Interferometric Data-Stacks: SqueeSAR
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- (2009) I. C. Kroon et al. Mathematical Geosciences
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- (2009) C. Y. Zhao et al. Environmental geology.
- Geological Interpretation of PSInSAR Data at Regional Scale
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