Automatic Generation of Sentinel-1 Continental Scale DInSAR Deformation Time Series through an Extended P-SBAS Processing Pipeline in a Cloud Computing Environment
出版年份 2020 全文链接
标题
Automatic Generation of Sentinel-1 Continental Scale DInSAR Deformation Time Series through an Extended P-SBAS Processing Pipeline in a Cloud Computing Environment
作者
关键词
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出版物
Remote Sensing
Volume 12, Issue 18, Pages 2961
出版商
MDPI AG
发表日期
2020-09-11
DOI
10.3390/rs12182961
参考文献
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注意：仅列出部分参考文献，下载原文获取全部文献信息。- A Covariance-Based Approach to Merging InSAR and GNSS Displacement Rate Measurements
- (2020) Alessandro Parizzi et al. Remote Sensing
- Monitoring active open-pit mine stability in the Rhenish coalfields of Germany using a coherence-based SBAS method
- (2020) Wei Tang et al. International Journal of Applied Earth Observation and Geoinformation
- Deep learning in remote sensing applications: A meta-analysis and review
- (2019) Lei Ma et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- The Parallel SBAS Approach for Sentinel-1 Interferometric Wide Swath Deformation Time-Series Generation: Algorithm Description and Products Quality Assessment
- (2019) Michele Manunta et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- A GeoNode-Based Platform for an Effective Exploitation of Advanced DInSAR Measurements
- (2019) Sabatino Buonanno et al. Remote Sensing
- Subsidence Evolution of the Firenze–Prato–Pistoia Plain (Central Italy) Combining PSI and GNSS Data
- (2018) Matteo Del Soldato et al. Remote Sensing
- Slip distribution of the 2015 Lefkada earthquake and its implications for fault segmentation
- (2017) Lidong Bie et al. GEOPHYSICAL JOURNAL INTERNATIONAL
- Geodetic model of the 2016 Central Italy earthquake sequence inferred from InSAR and GPS data
- (2017) D. Cheloni et al. GEOPHYSICAL RESEARCH LETTERS
- A Cloud Computing Solution for the Efficient Implementation of the P-SBAS DInSAR Approach
- (2017) Ivana Zinno et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Large areas surface deformation analysis through a cloud computing P-SBAS approach for massive processing of DInSAR time series
- (2017) Claudio De Luca et al. REMOTE SENSING OF ENVIRONMENT
- Deriving 3-D Time-Series Ground Deformations Induced by Underground Fluid Flows with InSAR: Case Study of Sebei Gas Fields, China
- (2017) Xiaoge Liu et al. Remote Sensing
- Deep Learning in Remote Sensing: A Comprehensive Review and List of Resources
- (2017) Xiao Xiang Zhu et al. IEEE Geoscience and Remote Sensing Magazine
- Ground deformation and source geometry of the 24 August 2016 Amatrice earthquake (Central Italy) investigated through analytical and numerical modeling of DInSAR measurements and structural-geological data
- (2016) G. Lavecchia et al. GEOPHYSICAL RESEARCH LETTERS
- Coseismic deformation, field observations and seismic fault of the 17 November 2015 M = 6.5, Lefkada Island, Greece earthquake
- (2016) Athanassios Ganas et al. TECTONOPHYSICS
- Cloud Computing for Earth Surface Deformation Analysis via Spaceborne Radar Imaging: A Case Study
- (2016) I. Zinno et al. IEEE Transactions on Cloud Computing
- A First Assessment of the P-SBAS DInSAR Algorithm Performances Within a Cloud Computing Environment
- (2015) Ivana Zinno et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Improved EMCF-SBAS Processing Chain Based on Advanced Techniques for the Noise-Filtering and Selection of Small Baseline Multi-Look DInSAR Interferograms
- (2015) Antonio Pepe et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Magma injection beneath the urban area of Naples: a new mechanism for the 2012–2013 volcanic unrest at Campi Flegrei caldera
- (2015) Luca D’Auria et al. Scientific Reports
- Spatiotemporal analysis and interpretation of 1993-2013 ground deformation at Campi Flegrei, Italy, observed by advanced DInSAR
- (2014) Sergey V. Samsonov et al. GEOPHYSICAL RESEARCH LETTERS
- SBAS-DInSAR Parallel Processing for Deformation Time-Series Computation
- (2014) Francesco Casu et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- From Previous C-Band to New X-Band SAR Systems: Assessment of the DInSAR Mapping Improvement for Deformation Time-Series Retrieval in Urban Areas
- (2013) Manuela Bonano et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- How second generation SAR systems are impacting the analysis of ground deformation
- (2013) E. Sansosti et al. International Journal of Applied Earth Observation and Geoinformation
- Vertical GPS ground motion rates in the Euro-Mediterranean region: New evidence of velocity gradients at different spatial scales along the Nubia-Eurasia plate boundary
- (2013) Enrico Serpelloni et al. JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH
- Long-term ERS/ENVISAT deformation time-series generation at full spatial resolution via the extended SBAS technique
- (2012) Manuela Bonano et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- The 4D imaging of the source of ground deformation at Campi Flegrei caldera (southern Italy)
- (2012) Luca D'Auria et al. JOURNAL OF GEOPHYSICAL RESEARCH
- GMES Sentinel-1 mission
- (2012) Ramon Torres et al. REMOTE SENSING OF ENVIRONMENT
- Topography correlated atmospheric delay correction in radar interferometry using wavelet transforms
- (2011) M. Shirzaei et al. GEOPHYSICAL RESEARCH LETTERS
- On the effects of 3-D mechanical heterogeneities at Campi Flegrei caldera, southern Italy
- (2010) Andrea Manconi et al. JOURNAL OF GEOPHYSICAL RESEARCH
- The 2004-2006 uplift episode at Campi Flegrei caldera (Italy): Constraints from SBAS-DInSAR ENVISAT data and Bayesian source inference
- (2008) E. Trasatti et al. GEOPHYSICAL RESEARCH LETTERS
- Two‐scale surface deformation analysis using the SBAS‐DInSAR technique: a case study of the city of Rome, Italy
- (2008) M. Manunta et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
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