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Auflistung nach Autor:in "Pretzsch, Hans"

1 - 3 von 3
  • Konferenzbeitrag
    Automatical Extraction of the Forest Inventory Parameters on Laser Scanning Data using Mathematical Methods
    (Environmental Informatics and Systems Research, 2007) Pal, Istvan; Huang, Peng; Pretzsch, Hans; Schütze, G.; Klemmt, Hans-Joachim; Seifert, Stefan; Seifert, T.; Uhl, E.; Steinacker, L.; Biber, P.
    This paper gives some mathematical methods for the automatic analysis and determination of forest management parameters in particular for the measurements of geometrical sizes on terrestrial scanning laser data using segmentation with iterative contrast enhancement, skeletonization, local digital geometry and topology (LDGT) and numerical methods for the determination of the fractal dimension and for the circle fitting.
  • Konferenzbeitrag
    Integration of the Forest Growth Simulator SILVA in Practical Forest Management
    (Environmental Informatics and Systems Research, 2007) Röder, Arno; Klemmt, Hans-Joachim; Seifert, Stefan; Moshammer, Ralf; Pretzsch, Hans
    Forest growth is a dynamic system depending on different conditions. In forestry science growth models like SILVA are used to research system feedbacks. Possible applications for forest growth simulators are the optimisation of silvicultural management strategies, calculation of climate change impacts, landscape visualization, and the prognoses for sustainability of growing stock and economic sustainability. SILVA3 is designed as a platform-independent clientserver-architecture embedding connections to different data sources like forest inventory data bases. The benefit of integrating SILVA in forest planning processes is shown in a case study.
  • Konferenzbeitrag
    Modellierung der Dynamik reiner und gemischter Waldbestände
    (Informationstechnologie für eine nachhaltige Landbewirtschaftung – Fokus: Forstwirtschaft, 2012) Pretzsch, Hans
    Für die Simulation der Waldentwicklung setzen sich zunehmend dynamische, räumlich-explizite Einzelbaummodelle durch. Vorliegender Beitrag skizziert die Funktionsweise solcher Modelle für Reinbestände, quantifiziert Mehrund Minderzuwächse in Mischbeständen und zeigt wie sich Mischungseffekte in Einzelbaummodelle integrieren lassen.