The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLIII-B3-2022
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2022, 833–839, 2022
https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-833-2022
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2022, 833–839, 2022
https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-833-2022
 
30 May 2022
30 May 2022

INTEGRATION OF GEOMATIC TECHNIQUES FOR THE 3D REPRESENTATION AND MONITORING OF A VETERAN CHESTNUT TREE

M. Balestra1, S. Chiappini1, A. Vitali1, E. Tonelli1, F. Malandra1, A. Galli1, C. Urbinati1, E. S. Malinverni2, and R. Pierdicca2 M. Balestra et al.
  • 1Università Politecnica delle Marche, Department of “Scienze Agrarie, Alimentari e Ambientali”, 60131 Ancona, Italy
  • 2Università Politecnica delle Marche, Department of “Ingegneria Civile, Edile e dell’Architettura”, 60131 Ancona, Italy

Keywords: Mobile Laser Scanner, 3D Model, Photogrammetry, Structure From Motion, Tree Metric Data, Tree Monitoring

Abstract. This study concerns the application of different geomatic techniques in forestry sector. An accurate 3D model of a veteran chestnut tree (Castanea sativa Mill.) has been realised integrating point clouds by Mobile Laser Scanner (MLS) and photogrammetry techniques. The surveys were conducted in two seasons (summer time: July 22nd 2021; autumn time: December 10th 2021), since chestnut is a deciduous tree and thus taking the chance to detect it also without leaves. Therefore, it was obtained tree’s metric data such as the diameter at breast height (DBH), the total height (TH), the crown basal area, the wood and crown volume. Annual surveys will result in a dataset of virtual trees that will be used to monitor the evolution of these noteworthy plants through time, which are expected to be considered as cultural heritage, given their story and their importance at regional and landscape level. The 3D model was then released for virtualization, making it accessible and available as a data container for different users. Such data will also provide historical memory about the presence of these veteran trees that might be lost in the future if affected by species-specific phytopathologies such as Ink Disease (Phytophthora spp.).