Monitoring forest structure to guide adaptive management of forest restoration: a review of remote sensing approaches
With the demand for, and scale of, ecological restoration increasing globally, effectiveness
monitoring remains a significant challenge. For forest restoration, structural complexity is a …
monitoring remains a significant challenge. For forest restoration, structural complexity is a …
Recent advances in unmanned aerial vehicle forest remote sensing—A systematic review. Part I: A general framework
Natural, semi-natural, and planted forests are a key asset worldwide, providing a broad
range of positive externalities. For sustainable forest planning and management, remote …
range of positive externalities. For sustainable forest planning and management, remote …
Individual tree-crown detection in RGB imagery using semi-supervised deep learning neural networks
Remote sensing can transform the speed, scale, and cost of biodiversity and forestry
surveys. Data acquisition currently outpaces the ability to identify individual organisms in …
surveys. Data acquisition currently outpaces the ability to identify individual organisms in …
Individual tree crown segmentation directly from UAV-borne LiDAR data using the PointNet of deep learning
X Chen, K Jiang, Y Zhu, X Wang, T Yun - Forests, 2021 - mdpi.com
Accurate individual tree crown (ITC) segmentation from scanned point clouds is a
fundamental task in forest biomass monitoring and forest ecology management. Light …
fundamental task in forest biomass monitoring and forest ecology management. Light …
A convolutional neural network approach for counting and geolocating citrus-trees in UAV multispectral imagery
Visual inspection has been a common practice to determine the number of plants in
orchards, which is a labor-intensive and time-consuming task. Deep learning algorithms …
orchards, which is a labor-intensive and time-consuming task. Deep learning algorithms …
The shape of trees: Reimagining forest ecology in three dimensions with remote sensing
How ecologists think about above‐ground forest structure and dynamics is fundamentally
shaped by the data we can collect. This has historically been limited to what is possible with …
shaped by the data we can collect. This has historically been limited to what is possible with …
Testing and evaluating different LiDAR-derived canopy height model generation methods for tree height estimation
M Mielcarek, K Stereńczak, A Khosravipour - International journal of …, 2018 - Elsevier
Abstract The LiDAR-derived Canopy height model (CHM), due to its wide applications in
forestry, is important for foresters. Before a CHM can be considered a valuable, objective …
forestry, is important for foresters. Before a CHM can be considered a valuable, objective …
[HTML][HTML] Available and missing data to model impact of climate change on European forests
Climate change is expected to cause major changes in forest ecosystems during the 21 st
century and beyond. To assess forest impacts from climate change, the existing empirical …
century and beyond. To assess forest impacts from climate change, the existing empirical …
Tree classification in complex forest point clouds based on deep learning
Recently, the classification of tree species using 3-D point clouds has drawn wide attention
in surveys and forestry investigations. This letter proposes a new voxel-based deep learning …
in surveys and forestry investigations. This letter proposes a new voxel-based deep learning …
Automatic citrus tree extraction from UAV images and digital surface models using circular Hough transform
Tree counts and sizes are important information to apply to crop yield estimation and
agricultural planning. Therefore, obtaining automatic extraction of trees, their locations …
agricultural planning. Therefore, obtaining automatic extraction of trees, their locations …