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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…
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Keywords:
growth model;
growth;
diameter growth;
individual tree ... See more keywords
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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…
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Keywords:
tree growth;
competition;
growth;
individual tree ... See more keywords
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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…
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Keywords:
individual tree;
leaf area;
path length;
area ... See more keywords
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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,…
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Keywords:
methodology;
individual tree;
lidar point;
point ... See more keywords
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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…
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Keywords:
tree segmentation;
segmentation leaf;
leaf photogrammetric;
individual tree ... See more keywords
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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…
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Keywords:
local maximum;
detection;
maximum algorithm;
method ... See more keywords
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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…
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Keywords:
deep learning;
free deep;
individual tree;
model ... See more keywords
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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…
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Keywords:
tree growth;
individual tree;
airborne laser;
laser scanning ... See more keywords
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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…
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Keywords:
resolution;
high resolution;
bias field;
segmentation ... See more keywords
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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…
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Keywords:
point clouds;
als point;
tree detection;
framework ... See more keywords
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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…
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Keywords:
point clouds;
two stage;
segmentation;
tree segmentation ... See more keywords