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UID:pretalx-foss4gnl-2025-WNBVF9@talks.staging.osgeo.org
DTSTART;TZID=CET:20250703T131500
DTEND;TZID=CET:20250703T134000
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:20260525T200038Z
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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UID:pretalx-foss4gnl-2025-QBRQNQ@talks.staging.osgeo.org
DTSTART;TZID=CET:20250703T134000
DTEND;TZID=CET:20250703T140500
DESCRIPTION:Urban areas pose significant challenges for hydrological modeli
 ng due to their modified landscapes and often flat topography\, which disr
 upt natural drainage and create zones where water cannot flow or discharge
  effectively. Using QGIS\, we can identify such stagnant areas where water
  accumulates without natural outflow. For these trapped water zones\, conv
 entional drainage is impractical\, necessitating alternative strategies su
 ch as targeted infiltration systems\, permeable surfaces\, or green infras
 tructure to manage runoff.\n\n \n\nMoreover\, through stream network gener
 ation and catchment delineation\, we can identify vulnerable residential s
 tructures and backyard areas due to high accumulation while determining th
 eir exact contributing drainage zones. This analysis reveals both accumula
 tion hotspots and their specific upstream source areas. Such comprehensive
  understanding enables development of coordinated solutions that simultane
 ously address flood-prone sites and their contributing catchments\, leadin
 g to more effective urban water management.
DTSTAMP:20260525T200038Z
LOCATION:Podium
SUMMARY:Urban Surface Water Management Using QGIS - Yonas Asfaha
URL:https://talks.staging.osgeo.org/foss4gnl-2025/talk/QBRQNQ/
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