Results 1 to 10 of about 43 (36)

Does the implementation of Automatic Individual Tree Crown Delineation (ITCD) impact the early detection of bark beetle (BB) infestation in Norway spruce forests? [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Early detection of bark beetle (BB) infestations in Norway spruce forests is essential for effective forest management. While UAV imagery offers high-resolution data, selecting appropriate crown pixels to detect subtle spectral changes during early BB ...
S. Bijou, L. Kupková, L. Červená, J. Lysák   +3 more
doaj   +5 more sources

Tree Species Traits Determine the Success of LiDAR-Based Crown Mapping in a Mixed Temperate Forest

Remote Sensing, 2020
The ability to automatically delineate individual tree crowns using remote sensing data opens the possibility to collect detailed tree information over large geographic regions.
Jack H. Hastings, Scott V. Ollinger, Andrew P. Ouimette, Rebecca Sanders-DeMott, Michael W. Palace, Mark J. Ducey, Franklin B. Sullivan, David Basler, David A. Orwig   +8 more
doaj   +3 more sources

Tree Stem Detection and Crown Delineation in a Structurally Diverse Deciduous Forest Combining Leaf-On and Leaf-Off UAV-SfM Data

Remote Sensing, 2023
Accurate detection and delineation of individual trees and their crowns in dense forest environments are essential for forest management and ecological applications.
Steffen Dietenberger, Marlin M. Mueller, Felix Bachmann, Maximilian Nestler, Jonas Ziemer, Friederike Metz, Marius G. Heidenreich, Franziska Koebsch, Sören Hese, Clémence Dubois, Christian Thiel   +10 more
doaj   +3 more sources

A Region-Based Hierarchical Cross-Section Analysis for Individual Tree Crown Delineation Using ALS Data

Remote Sensing, 2017
In recent years, airborne Light Detection and Ranging (LiDAR) that provided three-dimensional forest information has been widely applied in forest inventory and has shown great potential in automatic individual tree crown delineation (ITCD).
Yinghui Zhao, Yuanshuo Hao, Zhen Zhen, Ying Quan   +3 more
doaj   +3 more sources

Trends in Automatic Individual Tree Crown Detection and Delineation—Evolution of LiDAR Data

Remote Sensing, 2016
Automated individual tree crown detection and delineation (ITCD) using remotely sensed data plays an increasingly significant role in efficiently, accurately, and completely monitoring forests.
Zhen Zhen, Lindi J. Quackenbush, Lianjun Zhang   +2 more
doaj   +3 more sources

An Improved Tree Crown Delineation Method Based on a Gradient Feature-Driven Expansion Process Using Airborne LiDAR Data

Remote Sensing
Accurate individual tree crown delineation (ITCD), which can be used to estimate various forest parameters such as biomass, stem density, and carbon storage, stands as an essential component of precision forestry.
Jiaxuan Jia, Lei Zhang, Kai Yin, Uwe Sörgel   +3 more
doaj   +3 more sources

Riparian ecosystems mapping at fine scale: a density approach based on multi‐temporal UAV photogrammetric point clouds

Remote Sensing in Ecology and Conservation, Volume 8, Issue 5, Page 644-655, October 2022., 2022
Mapping riparian corridors requires fine‐scale resolution but also the coverage of relatively large areas. The use of Unmanned Aerial Vehicles (UAV) allows meeting both conditions, although the cost‐effectiveness of their use is highly influenced by the type of sensor mounted on them.
Elena Belcore, Melissa Latella, Mat Disney, Karen Anderson   +3 more
wiley   +1 more source

Automatic Detection and Parameter Estimation of Ginkgo biloba in Urban Environment Based on RGB Images

Journal of Sensors, Volume 2021, Issue 1, 2021., 2021
Individual tree crown detection and morphological parameter estimation can be used to quantify the social, ecological, and landscape value of urban trees, which play increasingly important roles in densely built cities. In this study, a novel architecture based on deep learning was developed to automatically detect tree crowns and estimate crown sizes ...
Kai Xia, Hao Wang, Yinhui Yang, Xiaochen Du, Hailin Feng, Liu Hongxiao   +5 more
wiley   +1 more source

Individual Tree Crown Delineation for the Species Classification and Assessment of Vital Status of Forest Stands from UAV Images

Drones, 2021
Monitoring the structure parameters and damage to trees plays an important role in forest management. Remote-sensing data collected by an unmanned aerial vehicle (UAV) provides valuable resources to improve the efficiency of decision making. In this work,
Anastasiia Safonova, Yousif Hamad, Egor Dmitriev, Georgi Georgiev, Vladislav Trenkin, Margarita Georgieva, Stelian Dimitrov, Martin Iliev   +7 more
doaj   +1 more source

Automatic Tree Crown Extraction from UAS Multispectral Imagery for the Detection of Bark Beetle Disturbance in Mixed Forests

Remote Sensing, 2020
Multispectral imaging using unmanned aerial systems (UAS) enables rapid and accurate detection of pest insect infestations, which are an increasing threat to midlatitude natural forests.
Robert Minařík, Jakub Langhammer, Theodora Lendzioch   +2 more
doaj   +1 more source