Articles with "individual tree" as a keyword



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Evaluation of the FVS-CR diameter growth model in structurally-heterogeneous ponderosa pine (Pinus ponderosa Douglas ex C. Lawson) stands in the Southern Rockies, and potential modifications

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Published in 2019 at "Forest Ecology and Management"

DOI: 10.1016/j.foreco.2019.05.031

Abstract: Abstract Forest managers are increasingly focused on promoting or maintaining forest structural complexity, including the heterogeneity of forest structures within stands. However, many of the forest growth models commonly used by forest managers assume that… read more here.

Keywords: growth model; growth; diameter growth; individual tree ... See more keywords
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Individual tree growth in jarrah (Eucalyptus marginata) forest is explained by size and distance of neighbouring trees in thinned and non-thinned plots

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Published in 2021 at "Forest Ecology and Management"

DOI: 10.1016/j.foreco.2021.119364

Abstract: Abstract Growth of an individual tree in a forest depends on multiple factors amongst which size, age and stand density can be of particular importance. The ability to understand how these factors influence individual growth… read more here.

Keywords: tree growth; competition; growth; individual tree ... See more keywords
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Estimating the leaf area of an individual tree in urban areas using terrestrial laser scanner and path length distribution model

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Published in 2018 at "Isprs Journal of Photogrammetry and Remote Sensing"

DOI: 10.1016/j.isprsjprs.2018.07.015

Abstract: Abstract Urban leaf area measurement is crucial to properly determining the effect of urban trees on micro-climate regulation, heat island effect, building cooling, air quality improvement, and ozone formation. Previous works on the leaf area… read more here.

Keywords: individual tree; leaf area; path length; area ... See more keywords
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Individual tree detection from airborne laser scanning data based on supervoxels and local convexity

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Published in 2019 at "Remote Sensing Applications: Society and Environment"

DOI: 10.1016/j.rsase.2019.100242

Abstract: Abstract Precise mapping of urban green spaces is critical for sustainable development of urban ecosystem. LiDAR remote sensing technology has been proved to be valuable for capturing geometrical structure of natural and man-made resources. However,… read more here.

Keywords: methodology; individual tree; lidar point; point ... See more keywords
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Individual tree segmentation from a leaf-off photogrammetric point cloud

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Published in 2018 at "International Journal of Remote Sensing"

DOI: 10.1080/01431161.2018.1434330

Abstract: ABSTRACT The proliferation of small unmanned aerial vehicles and structure from motion photogrammetry provides simple, repeatable, and inexpensive techniques for creating high-resolution aerial imagery and 3D data. These methods have been quickly adopted within the… read more here.

Keywords: tree segmentation; segmentation leaf; leaf photogrammetric; individual tree ... See more keywords
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Assessment of an improved individual tree detection method based on local-maximum algorithm from unmanned aerial vehicle RGB imagery in overlapping canopy mountain forests

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Published in 2020 at "International Journal of Remote Sensing"

DOI: 10.1080/01431161.2020.1809024

Abstract: ABSTRACT Low consumer-grade cameras attached to small unmanned aerial vehicles (UAV) can easily acquire high spatial resolution images, leading to convenient forest monitoring at small-scales for forest managers. However, most studies were carried out in… read more here.

Keywords: local maximum; detection; maximum algorithm; method ... See more keywords
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Detecting Individual-Tree Crown Regions from Terrestrial Laser Scans with an Anchor-Free Deep Learning Model

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Published in 2020 at "Canadian Journal of Remote Sensing"

DOI: 10.1080/07038992.2020.1861541

Abstract: Abstract Detecting individual-tree crowns provides a fundamental analysis unit bridging macro ecological patterns and micro physiological functions. This study adapted an anchor-free deep learning model, CenterNet, to detect individual crown locations and regions from dense… read more here.

Keywords: deep learning; free deep; individual tree; model ... See more keywords
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Quantifying individual tree growth and tree competition using bi-temporal airborne laser scanning data: a case study in the Sierra Nevada Mountains, California

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Published in 2018 at "International Journal of Digital Earth"

DOI: 10.1080/17538947.2017.1336578

Abstract: ABSTRACT Improved monitoring and understanding of tree growth and its responses to controlling factors are important for tree growth modeling. Airborne Laser Scanning (ALS) can be used to enhance the efficiency and accuracy of large-scale… read more here.

Keywords: tree growth; individual tree; airborne laser; laser scanning ... See more keywords
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Individual Tree Crown Detection and Delineation From Very-High-Resolution UAV Images Based on Bias Field and Marker-Controlled Watershed Segmentation Algorithms

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Published in 2018 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2018.2830410

Abstract: Individual tree crown detection and delineation (ITCD) mainly depend on high-resolution aerial photos and satellite images or LiDAR, and these data can be costly to obtain. The advent of unmanned aerial vehicle (UAV) remote sensing… read more here.

Keywords: resolution; high resolution; bias field; segmentation ... See more keywords
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A Crown Guess and Selection Framework for Individual Tree Detection From ALS Point Clouds

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Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2022.3171771

Abstract: Individual tree detection from airborne laser scanning (ALS) point clouds is the basis for forestry inventory and further applications. In the past decade, many methods have been developed to localize tree instances in ALS point… read more here.

Keywords: point clouds; als point; tree detection; framework ... See more keywords
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A Two-Stage Approach for Individual Tree Segmentation From TLS Point Clouds

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Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2022.3212445

Abstract: Individual tree segmentation in forest scenes provides a foundation for forest ecosystem modeling and biodiversity assessment applications. Existing approaches work well for cases where trees do not grow in layers. However, they may fail in… read more here.

Keywords: point clouds; two stage; segmentation; tree segmentation ... See more keywords