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UID:pretalx-global-workshop-2026-X97YJS@pretalx.earthmonitor.org
DTSTART;TZID=Europe/Amsterdam:20261008T163000
DTEND;TZID=Europe/Amsterdam:20261008T164500
DESCRIPTION:As FAIR principles become increasingly central to open science 
 and research data stewardship\, a persistent gap remains between their bro
 ad endorsement and their consistent practical validation in real-world rep
 ositories. This challenge is particularly visible for geospatial datasets\
 , where domain-specific requirements such as spatial formats\, metadata ri
 chness\, and interoperability standards are not always captured by general
  FAIR assessment approaches. In this work\, a structured FAIR assessment w
 as applied to datasets produced within the Open-Earth-Monitor Cyberinfrast
 ructure (OEMC) project. To support the evaluation\, we developed a FAIR as
 sessment tool tailored to geospatial data entries published on Zenodo\, wh
 ile designing the underlying framework to remain flexible and transferable
  to other repository environments. The assessment identifies both strength
 s and recurring gaps in current data publication practices and provides ac
 tionable recommendations for improving the long-term usability\, transpare
 ncy\, and scientific value of geospatial datasets.
DTSTAMP:20260624T071251Z
LOCATION:Aula Magna
SUMMARY:How FAIR Is Geospatial Data? An Assessment of OEMC Datasets - Imma 
 Serra\, Mustafa Serkan Isik
URL:https://pretalx.earthmonitor.org/global-workshop-2026/talk/X97YJS/
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UID:pretalx-global-workshop-2026-UMRHWT@pretalx.earthmonitor.org
DTSTART;TZID=Europe/Amsterdam:20261007T154500
DTEND;TZID=Europe/Amsterdam:20261007T160000
DESCRIPTION:In alignment with the European Green Deal’s strategies\, fore
 st monitoring is crucial to fill the existing information gaps and create 
 a comprehensive forest knowledge base.  Based on the 4th Spanish National 
 Forest Inventory collections updated in 2017\, we assessed remote sensing 
 data derived from various sources as complementary information to support 
 forest ecosystem monitoring in Catalonia over the last decade.  Our study 
 areas focused on regional natural parks designated by Natura 2000 where de
 ciduous tree species (Fagus sylvatica\, Castanea sativa) are well represen
 ted to analyse key biophysical variables known as Essential Biodiversity V
 ariables (EBVs) such as LAI and FAPAR.  The data products compared in this
  study include high-resolution vegetation maps with new algorithms provide
 d through cloud-based platforms such as Copernicus Data Space Ecosystem an
 d Google Earth Engine.   Specifically\, we referenced Sentinel-2 based EBV
 s from BioPAR by VITO and World Reforestation Monitor by ETH Zurich. In di
 scussion our challenges and opportunities associated with data interoperab
 ility and quality are addressed.
DTSTAMP:20260624T071251Z
LOCATION:Aula Magna
SUMMARY:Key biophysical variables for forest monitoring in Catalonia - Kaor
 i Otsu\, Imma Serra
URL:https://pretalx.earthmonitor.org/global-workshop-2026/talk/UMRHWT/
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