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UID:pretalx-global-workshop-2026-TETSF9@pretalx.earthmonitor.org
DTSTART;TZID=Europe/Amsterdam:20261008T184500
DTEND;TZID=Europe/Amsterdam:20261008T190000
DESCRIPTION:High-resolution information on woody vegetation structure is in
 creasingly required for biodiversity monitoring\, urban planning\, and env
 ironmental assessment\, particularly in heterogeneous urban and peri-urban
  landscapes where trees and shrubs are poorly represented in conventional 
 land-cover products. While Earth observation (EO) data provide new opportu
 nities to capture fine-scale vegetation structure\, many workflows remain 
 closely tied to specific data environments and lack transparent\, transfer
 able implementation.\nThis contribution presents an open and reproducible 
 workflow for mapping trees and shrubs across urban areas in Switzerland at
  national scale. The approach integrates airborne LiDAR-derived canopy hei
 ght models with authoritative Swiss reference datasets\, including cadastr
 al data (AV) and the Topographic Landscape Model (TLM) to extract structur
 ally distinct woody vegetation elements. Object-based segmentation and rul
 e-based classification are implemented using LAStools and R\, with explici
 t processing steps designed for transparency and reproducibility.\nThe wor
 kflow focuses on the delineation of above-ground woody structures\, distin
 guishing individual trees and shrub patches based on canopy height\, spati
 al configuration\, and their relationship to reference datasets such as th
 e national tree inventory (TLM). While airborne LiDAR provides detailed ve
 rtical information\, the methodological logic can be adapted to alternativ
 e height sources such as photogrammetric surface models\, stereo imagery\,
  or emerging spaceborne products\, where LiDAR is unavailable.\nResults fr
 om the national case study demonstrate how EO-derived above-ground structu
 ral information can complement existing cadastral and land-use datasets by
  providing spatially explicit woody vegetation objects in complex urban la
 ndscapes. Beyond the Swiss application\, this work discusses key considera
 tions for developing reproducible EO workflows\, including data dependency
  management\, scalability\, and transferability. The presented workflow ai
 ms to support the Open-Earth-Monitor community by providing a transparent 
 and adaptable framework for structural habitat mapping using high-resoluti
 on EO data.
DTSTAMP:20260624T084142Z
LOCATION:Rooms 12+14
SUMMARY:From EO Data to Urban Woody Vegetation Structure: A Reproducible Wo
 rkflow for National-Scale Tree and Shrub Mapping - Natalia Kolecka
URL:https://pretalx.earthmonitor.org/global-workshop-2026/talk/TETSF9/
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