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      <dct:title>Wildfire Resilience from Satellite Image Time Series Virtual Lab</dct:title>
      <dct:abstract>The WiReSITS (Wildfire Resilience from Satellite Image Time Series) Virtual Lab implements a framework published in Marcos et al. 2023 (&lt;a href="https://doi.org/10.1016/j.rse.2022.113441" target="_blank"&gt;DOI: 10.1016/j.rse.2022.113441&lt;/a&gt;), for assessing wildfire severity, recovery and resilience, through indicators of changes in ecosystem functioning extracted from satellite image time series. The R-based workflow was improved and updated, from the original code base, to use functions from the "terra" package for pre-processing (filtering amp; smoothing), decomposing (STL), normalizing (versus baseline conditions), and extracting trajectory metrics from satellite image time series (e.g. MODIS).&lt;div&gt;The vLab has been created by using the LifeWatch NaaVRE platform (&lt;a href="https://naavre.net" target="_blank"&gt;https://naavre.net&lt;/a&gt;).&lt;/div&gt;</dct:abstract>
      <dcat:keyword>Wildfire severity</dcat:keyword>
      <dcat:keyword>Post-fire recovery</dcat:keyword>
      <dcat:keyword>Ecosystem functioning</dcat:keyword>
      <dcat:keyword>Satellite image time series</dcat:keyword>
      <dcat:keyword>Ecosystem resilience</dcat:keyword>
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      <dct:issued>2025-08-05</dct:issued>
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      <foaf:name>Biodiversity  Macroecology (BIOMAC) lab, Department Theoretical and Computational Ecology (TCE) Institute for Biodiversity and Ecosystem Dynamics (IBED) University of Amsterdam, The Netherlands</foaf:name>
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