Evaluation of the quality of automatic tree detection using photogrammetric canopy height models and orthomosaic

The work was performed in the old-growth linden-spruce forest of the Kologrivsky Forest Nature Reserve (Kostroma Oblast, Russia) based on aerial photography with a quadcopter. Automatic detection algorithms made it possible to detect most of the trees in the forest canopy. Tree detection by orthomos...

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Autors principals:	Natalya V. Ivanova, Aleksandr V. Lebedev, Maхim P. Shashkov
Format:	Artigo
Idioma:	Inglês
Publicat:	Cherepovets State University 2023-06-01
Col·lecció:	Трансформация экосистем
Matèries:	kologrivsky forest nature reserve quadcopter neural network agisoft metashape lidr rlidar deepforest
Accés en línia:	http://en.ecosysttrans.com/publikatsii/ecosystem-transformation-volume-6-no-2-2023/evaluation-of-the-quality-of-automatic-tree-detection-using-photogrammetric-canopy-height-models-and/
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