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UID:pretalx-foss4g-europe-2025-E8PQC7@talks.staging.osgeo.org
DTSTART;TZID=CET:20250717T152000
DTEND;TZID=CET:20250717T152500
DESCRIPTION:Ground Motion Services (GMS) based on Interferometric Synthetic
  Aperture Radar (InSAR) technology play a critical role in monitoring terr
 ain deformation\, assessing geohazards\, and supporting infrastructure man
 agement. Various European countries have developed national GMS platforms 
 that provide access to ground displacement data derived from Sentinel-1 im
 agery. These services differ significantly in their dissemination strategi
 es\, data accessibility\, update frequency\, interoperability\, and integr
 ation with broader geospatial infrastructures. In addition to national ini
 tiatives\, the European Ground Motion Service (EGMS) offers a harmonized r
 egional dataset\, creating opportunities for cross-border analysis while a
 lso highlighting disparities in how individual countries distribute and ma
 nage their InSAR-based deformation data. Despite the growing importance of
  these services\, no standardized approach to optimal data dissemination h
 as been established\, leading to fragmented accessibility\, varying user e
 ngagement strategies\, and inconsistent data integration practices across 
 platforms. The lack of a unified approach also hampers the ability to perf
 orm large-scale\, integrated analyses of ground motion\, limiting the pote
 ntial for comprehensive geohazard assessments and infrastructure resilienc
 e planning across Europe. This study conducts a comparative analysis of ex
 isting national GMS platforms\, including those in Norway\, Germany\, Denm
 ark\, Sweden\, the Netherlands\, Romania\, Greece\, and Italy\, alongside 
 EGMS. The research focuses on key aspects of data dissemination\, includin
 g access policies\, distribution formats\, visualization tools\, update fr
 equencies\, and interoperability with other geospatial datasets. The study
  evaluates open-access models versus restricted or tiered access approache
 s\, examining how different dissemination policies impact the usability of
  GMS data for scientific\, governmental\, and commercial applications. Fur
 thermore\, it investigates the role of web-based GIS platforms\, APIs\, an
 d data download services\, assessing how these tools contribute to enhanci
 ng user experience and providing efficient access to complex geospatial da
 ta. Best practices in user interface design and visualization techniques a
 re also explored to ensure that InSAR-derived deformation information is a
 ccessible to a wide range of stakeholders\, from scientific researchers to
  government agencies and the general public. The integration of InSAR data
  with complementary geospatial datasets\, such as GNSS measurements and ge
 ological surveys\, is another key aspect of the analysis. Certain national
  services incorporate GNSS calibration to enhance data accuracy\, while ot
 hers provide seamless interoperability with national spatial data infrastr
 uctures (NSDI) to facilitate broader geoscientific applications. However\,
  inconsistencies in data formats and processing methodologies present chal
 lenges to cross-platform compatibility. The study identifies cases where h
 armonization efforts\, such as those promoted by EGMS\, improve standardiz
 ation\, as well as instances where national approaches diverge significant
 ly. These inconsistencies often lead to difficulties in comparing and inte
 grating data from different sources\, thereby limiting the potential for c
 omprehensive geohazard assessments and early warning systems. Another crit
 ical consideration is update frequency and data timeliness. Some GMS platf
 orms\, such as those in Italy and Greece\, offer high temporal resolution 
 with updates as frequently as every 12 days\, whereas others provide annua
 l or irregular updates\, limiting their effectiveness for near-real-time m
 onitoring. The balance between data processing efficiency\, computational 
 resource demands\, and the practical needs of end-users is explored to det
 ermine an optimal refresh cycle for ground motion data. Furthermore\, the 
 study examines the role of cloud-based processing infrastructures and high
 -performance computing in enabling large-scale InSAR data management\, as 
 demonstrated by Norway’s and Sweden’s platforms. These technological a
 dvancements allow for faster processing times\, more frequent data updates
 \, and the capacity to handle increasingly large volumes of InSAR data\, w
 hich is crucial for timely decision-making and hazard mitigation efforts. 
 Despite the significant advancements in InSAR data dissemination\, several
  challenges remain. Variability in data access policies leads to dispariti
 es in user engagement\, with some services offering unrestricted open data
  while others require authentication or institutional agreements. The lack
  of API integration in certain platforms restricts automated data retrieva
 l\, limiting interoperability with external applications. Differences in v
 isualization approaches\, ranging from interactive web-based viewers to ra
 w data download options\, also impact how effectively users can interpret 
 and apply ground motion data. These inconsistencies highlight the need for
  a more structured framework to ensure accessibility\, usability\, and sci
 entific robustness in GMS dissemination strategies. Addressing these chall
 enges will help create more effective and inclusive systems for ground mot
 ion monitoring that can better serve the needs of diverse stakeholders. Bu
 ilding upon this comparative analysis\, the study proposes an optimal diss
 emination model for a future Serbian Ground Motion Service. The model prio
 ritizes open-access policies\, ensuring that ground deformation data is fr
 eely available to researchers\, decision-makers\, and the public. It incor
 porates a user-friendly web-based GIS interface with interactive visualiza
 tion tools\, API support for seamless integration with NSDI and scientific
  workflows\, and periodic updates that balance computational efficiency wi
 th real-time monitoring capabilities. The model also emphasizes interopera
 bility with EGMS to align with European data-sharing standards\, allowing 
 Serbia to contribute to and benefit from broader continental ground motion
  assessments. By adopting such a model\, Serbia can enhance its national m
 onitoring capabilities while also fostering collaboration with neighboring
  countries\, creating a more resilient regional infrastructure system. The
  findings of this research contribute to the ongoing discussion on best pr
 actices for ground motion data dissemination\, offering a structured appro
 ach that can enhance the usability and impact of InSAR-based deformation m
 onitoring. By synthesizing insights from existing GMS implementations\, th
 is study provides a foundation for developing a Serbian GMS that maximizes
  accessibility\, ensures scientific rigor\, and supports a wide range of a
 pplications\, from infrastructure resilience to natural hazard assessment.
  Additionally\, the proposed dissemination model will help Serbia become a
 n active participant in international data-sharing networks\, enhancing it
 s ability to respond to environmental challenges\, improve urban planning\
 , and contribute to regional and global geospatial initiatives.
DTSTAMP:20260527T222701Z
LOCATION:PA01 (Quarticle)
SUMMARY:Comparative analysis of Sentinel 1 InSAR ground motion data dissemi
 nation strategies: towards an optimal model for Serbia - Miloš Basarić
URL:https://talks.staging.osgeo.org/foss4g-europe-2025/talk/E8PQC7/
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