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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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Parameterized Tree Positions Dresden 2017

Authors: Münzinger, Markus;

Parameterized Tree Positions Dresden 2017

Abstract

The parameterized tree positions represent the location of all trees detected on the basis of a laser scan survey from 2017 within the City of Dresden (Germany). Geometric attributes such as tree height and crown diameter were derived for each tree. For this purpose, the urban forest was classified in the point cloud and then individual tree crowns were segmented. Based on these segments, geometric attributes were determined from the LiDAR point cloud. In total, this automated inventory contains ~ 3 million tree positions. This is an overestimation of the actual number of trees which is due to inaccuracies in the segmentation of individual trees, especially in dense tree stands. Despite this overestimation, the tree volumes detected in the point cloud are realistically reproduced. The methodology is described in detail in this article. Each tree has the following attributes: "treeID_utm33_tiles" - ID "H_Tree" – tree height (m) "H_Crown" – crown height (m) "H_Trunk" – trunk height (m) "D_Crown" – crown diameter (m) "X", "Y","Z" – position The dataset is available either as a Shapefile or GeoJSON in the coordinate system ETRS89/UTM zone 33 (EPSG: 25833). The dataset was divided into tiles. The tile number results from the coordinate of the lower left corner in the coordinate reference system. The source data used was made freely available by the “Landesamt für Geobasisinformation Sachsen” (GeoSN) under the license "Data license Germany - attribution - Version 2.0" and can be downloaded under the following links: LiDAR: https://www.geodaten.sachsen.de/downloadbereich-digitale-hoehenmodelle-4851.html 3D Building Model: https://www.geodaten.sachsen.de/downloadbereich-digitale-3d-stadtmodelle-4875.html Aerial Imagery: https://www.geodaten.sachsen.de/downloadbereich-dop-4826.html

The City of Dresden supported generation and validation of the dataset by providing the municipal tree inventory. The research contributed to the project "Standard-BIPV-System" (FKZ: 03EE1061C) funded by the German Federal Ministry for Economic Affairs and Climate Action.

Keywords

http://data.europa.eu/8mn/euroscivoc/edd215c6-0ed9-4c86-8cb0-4f6504deb9f7, LiDAR, Individual crown segmentation, Parametric tree modeling, Urban forest inventory, http://data.europa.eu/8mn/euroscivoc/81f1f477-aa96-427a-adf9-7742a429899a

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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