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[IEEE IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Valencia, Spain (2018.7.22-2018.7.27)] IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Innovative Exploitation of Long, Dense and Coherent Insar Sentinel-L Time Series forland Survey and Classification
摘要： During the last three years the European Space Agency (ESA) Sentinel-1 (S1) mission, gathered large collections of Synthetic Aperture Radar (SAR) data over the Earth’s surface. A wide variety of SAR applications have benefited from the use of large stacks of S1 products. Surface displacement monitoring, land cover mapping, crop monitoring or flood detection are successful examples that are being increasingly employed by both public administrations and/or private companies in order to improve the productivity of processes (mining or oil & gas sector) and to provide a rapid response in front of disaster risk management (earthquakes, floods, etc.). The features of S1 sensor, i.e, short revisiting time, wide area processing, high slant-range resolution, improved radiometric accuracy or the availability to work with dual polarimetric data, benefits the reliability of all these applications. In this paper the benefits of multi-temporal SAR applications based on DARES TECHNOLOGY experience using S1 sensor is presented over three classic SAR applications.
关键词： SAR,coherence,InSAR,time series,vegetation,classification,land-cover,Sentinel-1,mapping
更新于2025-09-10 09:29:36
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[IEEE IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Valencia, Spain (2018.7.22-2018.7.27)] IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Sentinel-1 Monitoring of Santorini Volcano Post-Unrest State
摘要： At the beginning of 2011 Santorini volcano underwent a volcanic unrest, accompanied by an increase of the micro-seismic activity. The unrest that lasted for over a year, demonstrated substantial amounts of uplift, justifying the volcanic origin of the activity. The continuation of the deformation monitoring after the unrest event was deemed necessary, in order to validate the post-unrest state of the volcano and to recognize potential ground deformation signals. The Copernicus Sentinel-1 mission is profoundly promising towards this direction, due to its systematic acquisition and short revisit. A multi-temporal SAR interferometric analysis was deliberated in a way to avoid significant phase changes and to retain high coherence. In this paper, DInSAR analysis was applied over Santorini to retrieve the actual deformation state of the volcano during the repose period 2014-2017. The results indicate subsidence rates on Nea Kameni of about 8-9 mm/yr, implying a gradual deflation of the magma chamber, while the rest of the area appears almost stable with negligible deformation.
关键词： ground deformation,SAR Interferometry,Santorini volcano,Copernicus Sentinel-1
更新于2025-09-10 09:29:36
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[IEEE IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Valencia, Spain (2018.7.22-2018.7.27)] IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Statistical Analysis of Eddies in the Western Mediterranean Based on Multiple SAR Imagery
摘要： We inferred spatial densities of submesoscale eddies in the Western Mediterranean from EnviSat ASAR and Sentinel-1 SAR-C imagery. The derived normalized eddy densities, i.e. the average numbers of eddy manifestations per SAR image acquired under favorable wind conditions, for the two datasets show some similarities, but they also demonstrate that the observation periods of 2-3 years are not sufficiently long for definite conclusions.
关键词： SAR,Sentinel-1,EnviSat,Marine surface films,Submesoscale eddies
更新于2025-09-10 09:29:36
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[IEEE IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Valencia, Spain (2018.7.22-2018.7.27)] IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Assimilation of Insar Propagation Delay Maps in High-Resolution Numerical Weather Model: Imaging of Water Vapor Structures in Atmosphere
摘要： In this work we present a methodology to estimate the 3D distribution of water vapor in atmosphere based on the use of SAR interferometry (InSAR) and Sentinel-1 data. Maps of propagation delay in atmosphere are assimilated in a high resolution Numerical Weather Model to enhance the forecast of atmosphere parameters. These are used to compute the atmosphere refractivity. Furthermore, 3D maps of hydrometers in atmosphere are derived after the assimilation of InSAR data. Both refractivity and hydrometeors maps are used to map 3D Water vapor patterns in atmosphere. Examples of InSAR signatures of water vapor in atmosphere are shown. We show how the 3D maps liquid refractivity and hydrometeors can be a useful tool to map moisture in atmosphere in case of convective phenomena in atmosphere.
关键词： Atmosphere propagation delay,Water Vapor,Sentinel-1,SAR interferometry,Numerical Weather Model
更新于2025-09-10 09:29:36
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[IEEE IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Valencia, Spain (2018.7.22-2018.7.27)] IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Esa Snap - Stamps Integrated Processing for Sentinel-1 Persistent Scatterer Interferometry
摘要： Recent development by European Space Agency (ESA) involved the extension of the interferometric capabilities of the SentiNel Application Platform (SNAP) to enable SAR interferometric time series analysis through the Stanford Method of Persistent Scatterer (StaMPS) software package. In the current work, we demonstrate the enabled Persistent Scatterers Interferometry (PSI) processing of Copernicus Sentinel-1 mission data through SNAP-StaMPS integrated processing. A detailed overview of the processing steps involved as well as considerations and assumptions to exploit the SNAP-StaMPS synergy are presented. We intend to support the Earth Observation community by providing guidelines for Sentinel-1 TOPS data PSI processing using open source software packages. We demonstrate the SNAP functionality by processing two stacks of Sentinel-1 products over Mexico City (Mexico) and Rome (Italy).
关键词： Persistent Scatterers Interferometry,ESA SNAP,Copernicus Sentinel-1,StaMPS
更新于2025-09-10 09:29:36
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[IEEE IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Valencia, Spain (2018.7.22-2018.7.27)] IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Surface Deformation Mapping of Italy Through the P-Sbas Dinsar Processing of Sentinel-L Data in a Cloud Computing Environment
摘要： In this work we implement a completely automatic interferometric processing chain, based on the well-known advanced DInSAR algorithm referred to as Parallel Small BAseline Subset (P-SBAS), for the generation of Sentinel-1 (S-1) Interferometric Wide Swath (IWS) deformation mean velocity maps and time-series of very wide areas, implemented within the Amazon Web Services (AWS) Elastic Cloud Compute environment. Our processing chain consists of the initial data query to the S-1 archive that we created on the AWS S3 storage, then the data transfer to the AWS computing nodes, the data processing and, finally, the transfer of the obtained interferometric results back to the original S3 storage. In order to demonstrate the capability of the implemented Cloud-based processing chain to deal with massive amount of data, we focus our analysis on the whole Italian territory by processing all the available data acquired both from ascending and descending orbits within the October 2014 – March 2017 time interval. As final result we combine the retrieved LOS displacements in order to compute the mean velocity maps and time-series of the vertical and East-West surface deformation components.
关键词： P-SBAS,Sentinel-1,Cloud Computing,DInSAR,deformation time-series
更新于2025-09-10 09:29:36
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[IEEE IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Valencia, Spain (2018.7.22-2018.7.27)] IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - SAR Speckle Filtering and Agriculture Field Size: Development of SAR Data Processing Best Practices for the JECAM SAR Inter-Comparison Experiment
摘要： Utilizing Synthetic Aperture Radar (SAR) sensors for crop inventory and condition monitoring offers many advantages, particularly the ability to collect data under cloudy conditions. The JECAM SAR Inter-Comparison Experiment is a multi-year, multi-partner project that aims to compare global methods for SAR crop monitoring and inventory, and Leaf Area Index (LAI) and biomass retrieval. Data sets of SAR imagery including RADARSAT-2 and Sentinel-1 are being prepared for this experiment and it is important to develop best practices to ensure consistency across the data sets. This paper outlines the speckle filter testing results based upon changing filter types and window sizes in comparison with changing field size. In general, it was found that the adaptive Touzi filter resulted in the highest overall classification accuracies for all field sizes. It was also found that there may be importance to speckle filter window size in relation to agriculture field size for other filter types.
关键词： JECAM,GEOGLAM,RADARSAT-2,Sentinel-1,speckle filter,agriculture
更新于2025-09-10 09:29:36
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[IEEE IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Valencia, Spain (2018.7.22-2018.7.27)] IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Global Monitoring of Fault Zones and Volcanoes with Sentinel-1
摘要： Sentinel-1 represents a major step forward in enabling us to monitor the Earth’s hazardous tectonic and volcanic zones. Here, we present the latest progress from the Centre for the Observation and Modelling of Earthquakes, Volcanoes and Tectonics (COMET), where we provide deformation results to the community for volcanoes and the tectonic belts. For the estimation of seismic hazard, we require relative accuracy on the order of 1 mm/yr between points 100 km apart. This requires mass processing of long time series of radar acquisitions. As of January 2018, we are producing interferograms systematically for the entire Alpine-Himalayan belt (～9000x2000 km) and the majority of subaerial volcanoes. Currently we make interferograms and coherence products available to the community, but we plan to also provide average deformation rates and displacement time series, in the future. The results are made available through a dedicated COMET portal, and we are in the process of linking them to the ESA G-TEP and EPOS. COMET also responds routinely to significant continental earthquakes, larger than ～Mw6.0. The short repeat interval of Sentinel-1, together with the rapid availability of the data, allows us to do this within a few days for most earthquakes. For example, after the Mw7.8 Kaikoura earthquake we supplied a processed interferogram to the community just 5 hours and 37 minutes after the Sentinel-1 acquisition. In this paper we provide an overview of some of the latest results for tectonics and volcanism and discuss how the accuracy of these products will improve as the number of data products acquired by Sentinel-1 increases.
关键词： Sentinel-1,Tectonic strain,Volcano monitoring,InSAR,Earthquake response
更新于2025-09-10 09:29:36
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[IEEE IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Valencia, Spain (2018.7.22-2018.7.27)] IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Surface Deformation of Kangding Airport, Qinghai-Tibet Plateau, China Using Insar Techniques and Multi-Temporal Sentinel-1 Datasets
摘要： Kangding Airport, Sichuan, China located on the eastern margin of the Qinghai-Tibet Plateau has been developed in rugged terrain. The airport environment is characterized by high filling of earth materials, high frequencies and intensities of seismic activities, and high altitude. The understanding of potential risk of the 3-high airport assessed by the surface deformation is of vital importance. In this study, the Small Baseline Subset (SBAS) and Quasi Persistent Scatterer (QPS) techniques were used and proven to be effective to quantify the long-term surface deformation of the airport. The deformation was highly correlated with the local geological settings and annual climate cycle.
关键词： SBAS and QPS InSAR techniques,Airport surface deformation,high-filling with earth materials,Sentinel-1 datasets
更新于2025-09-10 09:29:36
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[IEEE IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Valencia, Spain (2018.7.22-2018.7.27)] IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Preliminary Results of Temporal Deformation Analysis in Istanbul Using Multi-Temporal Insar with Sentinel-1 Sar Data
摘要： Multi-temporal differential synthetic aperture radar interferometry techniques are well-developed and beneficial tools for deformation analysis using remotely sensed images. The primary objective of the study is to investigate the capability and the performance of the new generation SAR system Sentinel-1 data to detect and monitor surface deformation. We combined open source tools of Sentinel Application Platform (SNAP) and Stanford Method for Persistent Scatterers (StaMPS) for data processing. The results highlight the recent surface displacement rates over the Istanbul city. The deformation rates reach up to approximately 8 mm/yr over a 4 year period.
关键词： Sentinel-1,Persistent Scatterer InSAR,Urban deformation monitoring,Differential InSAR
更新于2025-09-10 09:29:36