Results 221 to 230 of about 1,026 (242)

ARBOR: A new framework for assessing the accuracy of individual tree crown delineation from remotely-sensed data [PDF]

open access: yesRemote Sensing of Environment, 2019
Abstract To assess the accuracy of individual tree crown (ITC) delineation techniques the same tree needs to be identified in two different datasets, for example, ground reference (GR) data and crowns delineated from LiDAR. Many studies use arbitrary metrics or simple linear-distance thresholds to match trees in different datasets without quantifying
Duncan Whyatt   +2 more
exaly   +2 more sources

An individual tree crown delineation method based on multi-scale segmentation of imagery

ISPRS Journal of Photogrammetry and Remote Sensing, 2012
Abstract A forest consists of multi-scale branches, tree crowns, and tree clusters. Similar to small tree crowns in shape and scale, branches normally cause over-segmentation of imagery when a watershed segmentation approach is used to segment imagery for tree crown delineation.
Linhai Jing   +3 more
openaire   +1 more source

Identification and delineation of individual tree crowns using Lidar and multispectral data fusion

2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2015
The aim of this study is to propose and evaluate methodology for identification and delineation of individual tree crowns, using Lidar and multispectral data fusion. Methods implementing data fusion are based on image binarization (thresholding) and region growing segmentation algorithm.
openaire   +1 more source

Comparing Mask R-CNN and Mask2Former architectures for individual tree crown delineation

Weather anomalies caused by the anthropogenic climate crisis challenge environmental workers such as foresters with an increasing number of responsibilities. In addition to providing attractive conditions for new generations of workers, deep-learning tools can ease processes for better efficiency.
Sonja Ruschhaupt   +2 more
openaire   +2 more sources

Individual Tree Crown Delineation Using Airborne LiDAR Data and Aerial Imagery in the Taiga–Tundra Ecotone

open access: yesRemote Sensing
The circumpolar Taiga–Tundra Ecotone significantly influences the feedback mechanism of global climate change. Achieving large-scale individual tree crown (ITC) extraction in the transition zone is crucial for estimating vegetation biomass in the transition zone and studying plants’ response to climate change.
Haifeng Ding, Hui Li, Shufang Tian
exaly   +3 more sources

Individual Tree-Crown Delineation and Treetop Detection in High-Spatial-Resolution Aerial Imagery

Photogrammetric Engineering & Remote Sensing, 2004
The cost of forest sampling can be reduced substantially by the ability to estimate forest and tree parameters directly from aerial photographs. However, in order to do so it is necessary to be able to accurately identify individual treetops and then to define the region in the vicinity of the treetop that encompasses the crown extent.
Le Wang, Peng Gong, Gregory S. Biging
openaire   +1 more source

Effects of tree crown delineation in individual tree species classification with hyperspectral and LiDAR data

2012
The effect of tree crown delineation on tree species classification using hyperspectral and LiDAR data was analyzed in this study. We considered a manual and an automatic crown extraction procedure. The results showed that crown delineation influenced the classification results.
Dalponte, Michele   +5 more
openaire   +1 more source

Automated delineation of individual tree crowns in high spatial resolution aerial images by multiple-scale analysis

Machine Vision and Applications, 1998
This paper presents an automatic multiple-scale algorithm for delineation of individual tree crowns in high spatial resolution infrared colour aerial images. The tree crown contours were identified as zero-crossings, with con- vex grey-level curvature, which were computed on the in- tensity image for each image scale. A modified centre of curvature was
Tomas Brandtberg, Fredrik Walter
openaire   +2 more sources

A parallel approach of multi-level morphological active contour algorithm for individual tree detection and crown delineation

2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS, 2013
Forests in Taiwan contain a diverse variety. Remote sensing data could offer information of large area sampling, but it is very challenging to automatically detect tree and delineate three crown in remote sensing data. Recently a algorithm, called multi-level morphological active contour algorithm (MMAC), has been proposed to address these issues in [1]
Yi-Ling Chen 0007   +3 more
openaire   +1 more source

A Multi-scale Approach for Delineating Individual Tree Crowns with Very High Resolution Imagery

Photogrammetric Engineering & Remote Sensing, 2010
This paper presents a multi-scale approach for delineating individual tree crowns (ITC) from high spatial resolution imagery. By analyzing the evolution of image gradients over the scale-space constructed with orthogonal wavelets, tree crown boundaries are effectively strengthened while the textures resulted from tree branches and twigs are largely ...
openaire   +1 more source

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