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UID:pretalx-foss4g-it-2023-ZBPJVD@talks.staging.osgeo.org
DTSTART;TZID=GMT:20230612T150000
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DESCRIPTION:Copernicus Sentinel-2 satellite constellation allows to sense E
 arth surface at high spatial and spectral resolution and its high revisit 
 frequency foster new advances for land monitoring capacity. Sentinel-2 MSI
  data exhibit variable geolocation spatial accuracy\, resulting in a weak 
 spatial coherence that significantly affect time series consistency at pix
 el level. Despite evolving Sentinel-2 MSI processing baselines aims\, amon
 g other objectives\, to improve image co-registration with respect to a Gl
 obal Reference Image (GRI)\, geospatial accuracy is not yet adequate for d
 etailed time series analysis. Many methodologies to quantify image shifts\
 , developed in the past years\, require a significant computational effort
  to effectively co-register satellite acquisition time series.\nTo underta
 ke operational image co-registration\, Sentinel-2 Shift DataBase (S2SDB) h
 as been established. The S2SDB contains information about horizontal linea
 r local shifts\, that can be easily applied to any Sentinel-2 MSI spectral
  band or derived spatially explicit products\, using various image process
 ing software solutions. The DataBase\, by releasing simple but relevant in
 formation with an open access data policy\, can contribute to reduce time 
 and computational effort required to significantly improve Sentinel-2 MSI 
 imagery spatial coherence and time series consistency. Improved co-registr
 ation may also contribute to strengthen satellite sensor interoperability\
 , producing denser time series to improve Earth observation land monitorin
 g for a wide range of applications.\nS2SDB is freely accessible from the o
 pen access data repository available at link https://github.com/ffilipponi
 /S2SDB.\nImprovements in time series consistency at pixel level using the 
 S2SDB is demonstrated for selected case studies\, related to monitoring of
  forest disturbances for logging identification and to the use of time ser
 ies analysis for the estimation of phenological metrics at Italian nationa
 l scale.
DTSTAMP:20260504T102733Z
LOCATION:Sala Biblioteca @ PoliBa
SUMMARY:Improve Sentinel-2 time series consistency with S2SDB DataBase for 
 operational image co-registration - Federico Filipponi
URL:https://talks.staging.osgeo.org/foss4g-it-2023/talk/ZBPJVD/
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