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UID:pretalx-foss4g-europe-2025-H83J7T@talks.staging.osgeo.org
DTSTART;TZID=CET:20250718T113000
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DESCRIPTION:The FAO’s WaPOR database provides open-access data on evapotr
 anspiration\, biomass production\, and water productivity\, supporting sus
 tainable water management in agriculture. However\, its spatial resolution
  varies across levels: Level 3 data (20 m) is available only for selected 
 irrigation schemes\, while Level 1 (300 m) and Level 2 (100 m) cover broad
 er regions but lack the detail needed for localized analysis. This limitat
 ion makes it challenging to assess water use at the field scale\, particul
 arly in areas where high-resolution data is not available.\nIn this presen
 tation\, we would like to demonstrate how QGIS can facilitate the downscal
 ing of WaPOR data using machine learning techniques with high-resolution a
 uxiliary datasets. By enhancing the spatial resolution of WaPOR data estim
 ates\, this approach provides a more detailed and accurate representation 
 of water use across diverse landscapes. This capability is crucial for gai
 ning a better overview of agricultural water consumption and improving irr
 igation management in regions beyond the predefined Level 3 coverage.\nWe 
 also present our roadmap for integrating this downscaling methodology into
  WAPlugin\, making it a user-friendly and reproducible tool within QGIS. B
 y combining open-source GIS and data-driven techniques\, this initiative s
 trengthens the accessibility and usability of WaPOR data for researchers\,
  water managers\, and policymakers. Attendees will gain insights into the 
 technical workflow\, practical applications\, and future development of WA
 Plugin’s new features.
DTSTAMP:20260527T015048Z
LOCATION:SA02
SUMMARY:Integrating WaPLUGIN in QGIS for Downscaling WaPOR Data: Enhancing 
 Water Resource Management - Hans van der Kwast\, WAPlugin Team\, Akshay Dh
 onthi\, Fabian Humberto Fonseca Aponte\, Tebbouche
URL:https://talks.staging.osgeo.org/foss4g-europe-2025/talk/H83J7T/
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