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TitleAn automated InSAR processing system: Potentials and challenges
AuthorFend, W; Omari, K; Samsonov, S V
SourceIEEE International Geoscience and Remote Sensing Symposium proceedings 2016 p. 3209-3210, https://doi.org/10.1109/IGARSS.2016.7729830
Year2016
Alt SeriesNatural Resources Canada, Contribution Series 20170194
PublisherIEEE
MeetingGeoscience and Remote Sensing Symposium (IGARSS); Beijing; CN; July 10-15, 2016
Documentserial
Lang.English
Mediapaper; on-line; digital
File formatpdf
SubjectsNature and Environment; automated cartography; remote sensing; modelling; InSAR; RADARSAT Constellation Mission (RCM); NASAISRO
Abstract(Summary)
A new era of space-based surveillance for global changes has begun with newly launched Synthetic Aperture Radar (SAR) missions Sentinel-1A and ALOS-2 and the upcoming RADARSAT Constellation Mission (RMC) and NASAISRO (NISAR). Heavy loads of SAR data are expected to be acquired regularly in the near future. This no doubt, is good news for a wide range of research applications. However, it also remains challenging to effectively handle such large amounts of SAR data. Synthetic Aperture Radar Interferometry (InSAR) is a technique for measuring local topography and ground deformation by using two or more SAR images. Due to its unprecedented spatial and temporal resolutions, and subcentimeter to submillimeter accuracy, the InSAR technique has played an important role in solving a series of global issues such as geohazards (i.e. earthquakes, volcano eruptions), climate change (i.e. permafrost thawing) and land subsidence (due to mining and urban development). The new satellites can further strengthen potentials of InSAR to help better understand global changes. Early automated InSAR systems have been developed to provide rapid services in some specific applications (i.e. volcano monitoring in Africa). At the Canada Centre for Mapping and Earth Observation, Natural Resources Canada, a High Performance Computing (HPC) system is being designed for on-demand interferometric processing of SAR data from RADARSAT-2, RCM (to be launched in 2018) and other satellites. With such an automated processing system, even unexperienced users can generate their own InSAR products from various SAR datasets. Beneficiary clients include various research centers of the Natural Resources Canada and other government departments and agencies. For comparability with pre-existent infrastructure, the designed system will consist of two components: Graphical User Interface (GUI) unit connected to database and data archive, and HPC Linux cluster. To access GUI, user will require authorization and various authorization levels will be developed for limiting access to particular data sets. This unit will allow user to select data that needs to be processed, design processing chain and submit processing request to HPC. The HPC will read processing request and initiate processing sequence. For this various primary and supplementary data will first be collected by HPC from the remote servers. It is expected that the amount of data for a single processing request may exceed 100 GB and multiple requests will be handled simultaneously. User will be notified of processing completion and provided with the information on how to retrieve processing results. Multiple security mechanisms will be implemented in order to protect this system from unauthorized access. The expected products from HPC will cover a range of processing levels from phase measurements to geometry differences between two amplitude images. An example of advanced processing products is the time series of ground deformation showing cumulative ground displacement occurred over time and computed using a well-validated algorithms.
GEOSCAN ID305953