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UID:pretalx-foss4gnl-2025-WNBVF9@talks.staging.osgeo.org
DTSTART;TZID=CET:20250703T131500
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DESCRIPTION:Dune slacks are low-lying depressions within dune ecosystems th
 at exhibit unique microclimates\, forming cold air pools during nighttime.
  This nocturnal cooling varies between slacks due to differences in their 
 geomorphological characteristics\, influencing local biodiversity and the 
 broader ecosystem.\n\nThis study focuses on the automated detection of dun
 e slacks using freely available geospatial data in QGIS. A dynamic thresho
 lding parameter will be developed to accurately delineate dune slacks base
 d different attributes. Following detection\, each slack will be indexed a
 nd ranked according to geomorphological parameters to indicate their relat
 ive thermal behavior—ranging from coldest to warmest.\n\nThe methodology
  will integrate LiDAR-derived Digital Terrain Models (DTMs)\, in-situ temp
 erature measurements\, and other open-source spatial datasets. This approa
 ch not only streamlines the identification of dune slacks but also lays th
 e groundwork for informed conservation strategies and deeper ecological in
 sights into climate-sensitive dune environments.
DTSTAMP:20260505T002059Z
LOCATION:Podium
SUMMARY:Automating Dune slack detection and mapping using QGIS - Hans van d
 er Kwast\, Md. Kausar Hossein\, Yonas Asfaha
URL:https://talks.staging.osgeo.org/foss4gnl-2025/talk/WNBVF9/
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