Results 51 to 60 of about 16,908 (163)

Individual Tree Crown Based Tree Species Classification From Very High-Resolution UAV Images [PDF]

IGARSS 2025 - 2025 IEEE International Geoscience and Remote Sensing Symposium
Very high-resolution optical imagery from un- manned aerial vehicles (UAVs) enables detailed tree species (TS) classification, surpassing the limitations of satellite imagery. In this paper, we propose an individual tree crown (ITC)- based loss and postprocessing approach, which can optimize classifying single tree species, designed to minimize the ...
Weishaupt, Mareike, Fan, Wen, Troles, Jonas, Tian, Jiaojiao   +3 more
openaire   +2 more sources

A self-adaptive mean shift tree-segmentation method Using UAV LiDAR data

Remote Sensing, 2020
Unmanned aerial vehicles using light detection and ranging (UAV LiDAR) with high spatial resolution have shown great potential in forest applications because they can capture vertical structures of forests.
Wanqian Yan, Haiyan Guan, Lin Cao, Yongtao Yu, Cheng Li, JianYong Lu   +5 more
doaj   +1 more source

Unveiling urbanization effects on trees outside forests along the urban-rural gradient in megacity Bengaluru

Forest Ecosystems
Rapid urbanization has caused significant changes along the urban-rural gradient, leading to a variety of landscapes that are mainly shaped by human activities.
Tao Jiang, Maximilian Freudenberg, Christoph Kleinn, V.P. Tewari, B.N. Diwakara, Nils Nölke   +5 more
doaj   +1 more source

Impact of Tree-Oriented Growth Order in Marker-Controlled Region Growing for Individual Tree Crown Delineation Using Airborne Laser Scanner (ALS) Data

Remote Sensing, 2014
Region growing is frequently applied in automated individual tree crown delineation (ITCD) studies. Researchers have developed various rules for initial seed selection and stop criteria when applying the algorithm. However, research has rarely focused on
Zhen Zhen, Lindi J. Quackenbush, Lianjun Zhang   +2 more
doaj   +1 more source

Extraction of individual tree crowns from airborne LiDAR data in human settlements

Mathematical and Computer Modelling, 2013
Abstract Extraction of individual tree crowns is meaningful for many applications. In this paper, a new method is proposed to extract individual trees from airborne LiDAR point clouds in human settlements. In the process of extraction, an improved slope-based filter is employed to separate the non-ground measurements from the ground measurements, the
Jiping Liu, Jing Shen, Rong Zhao, Shenghua Xu   +3 more
openaire   +2 more sources

Segmentation and classification of individual tree crowns [PDF]

, 2004
By segmentation and classification of individual tree crowns in high spatial resolution aerial images, information about the forest can be automatically extracted. Segmentation is about finding the individual tree crowns and giving each of them a unique label. Classification, on the other hand, is about recognising the species of the tree.
openaire  

Suitability of Airborne and Terrestrial Laser Scanning for Mapping Tree Crop Structural Metrics for Improved Orchard Management

Remote Sensing, 2020
Airborne Laser Scanning (ALS) and Terrestrial Laser Scanning (TLS) systems are useful tools for deriving horticultural tree structure estimates. However, there are limited studies to guide growers and agronomists on different applications of the two ...
Dan Wu, Kasper Johansen, Stuart Phinn, Andrew Robson   +3 more
doaj   +1 more source

A novel post-fire method to estimate individual tree crown scorch height and volume using simple RPAS-derived data. [PDF]

Fire Ecol, 2023
Arkin J, Coops NC, Daniels LD, Plowright A.   +3 more
europepmc   +1 more source

Terrestrial Laser Scanning as an Effective Tool to Retrieve Tree Level Height, Crown Width, and Stem Diameter

Remote Sensing, 2015
Accurate measures of forest structural parameters are essential to forest inventory and growth models, managing wildfires, and modeling of carbon cycle. Terrestrial laser scanning (TLS) fills the gap between tree scale manual measurements and large scale
Shruthi Srinivasan, Sorin C. Popescu, Marian Eriksson, Ryan D. Sheridan, Nian-Wei Ku   +4 more
doaj   +1 more source

Individual Tree Crown Segmentation and Crown Width Extraction From a Heightmap Derived From Aerial Laser Scanning Data Using a Deep Learning Framework. [PDF]

Front Plant Sci, 2022
Sun C, Huang C, Zhang H, Chen B, An F, Wang L, Yun T.   +6 more
europepmc   +1 more source