Automatic Detection of Urban Trees from LiDAR Data Using DBSCAN and Mean Shift Clustering Methods in Fatih, Istanbul
Trees in green areas offer numerous benefits for the environment and human health. Up-to-date, information about trees in urban green areas is crucial for sustainable urban planning. Traditionally, the detection and inventory of urban trees have been conducted through field surveys and terrestrial m...
Saved in:
| Main Authors: | Z. Cetin, N. Yastikli |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2025-05-01
|
| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://isprs-archives.copernicus.org/articles/XLVIII-M-6-2025/95/2025/isprs-archives-XLVIII-M-6-2025-95-2025.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Historic Zeyrek District, Fatih , Istanbul
by: Fatma - Sedes
Published: (2023-01-01) -
UAV LiDAR expands the understanding of forest tree diversity
by: Jianyang Liu, et al.
Published: (2025-06-01) -
LiDAR-Based Detection of Urban Trees Using a Backpack System
by: M. F. da Silva, et al.
Published: (2025-07-01) -
Framework for the Georeferencing and Processing of BikePack LiDAR Data for Urban Tree Mapping
by: C. Zhao, et al.
Published: (2025-08-01) -
Integrating Drone-Based LiDAR and Multispectral Data for Tree Monitoring
by: Beatrice Savinelli, et al.
Published: (2024-12-01)