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 …
Cross-site learning in deep learning RGB tree crown detection
Tree crown detection is a fundamental task in remote sensing for forestry and ecosystem
ecology. While many individual tree segmentation algorithms have been proposed, the …
ecology. While many individual tree segmentation algorithms have been proposed, the …
A comparative assessment of the performance of individual tree crowns delineation algorithms from ALS data in tropical forests
Tropical forest canopies are comprised of tree crowns of multiple species varying in shape
and height, and ground inventories do not usually reliably describe their structure. Airborne …
and height, and ground inventories do not usually reliably describe their structure. Airborne …
[HTML][HTML] Using repeat airborne LiDAR to map the growth of individual oil palms in Malaysian Borneo during the 2015–16 El Niño
Making oil palm agriculture as efficient as possible is essential to ensuring that this
economically important crop can be grown sustainably. To determine how oil palm growth …
economically important crop can be grown sustainably. To determine how oil palm growth …
Procedure for locating trees and estimating diameters using LiDAR data
IA Grishin, VI Terekhov - 2023 5th International Youth …, 2023 - ieeexplore.ieee.org
Segmentation of a forest area with high accuracy is a non-trivial task. In this paper, the
authors examined the procedure for determining the coordinates of the location of trees and …
authors examined the procedure for determining the coordinates of the location of trees and …
Understanding crown shyness from a 3-D perspective
Abstract Background and Aims Crown shyness describes the phenomenon whereby tree
crowns avoid growing into each other, producing a puzzle-like pattern of complementary …
crowns avoid growing into each other, producing a puzzle-like pattern of complementary …
Fusion of Dense Airborne LiDAR and Multispectral Sentinel-2 and Pleiades Satellite Imagery for Mapping Riparian Forest Species Biodiversity at Tree Level
Multispectral and 3D LiDAR remote sensing data sources are valuable tools for
characterizing the 3D vegetation structure and thus understanding the relationship between …
characterizing the 3D vegetation structure and thus understanding the relationship between …
Unsupervised algorithms to detect single trees in a mixed-species and multilayered Mediterranean forest using LiDAR data
Accurate measurement of forest growing stock is a prerequisite for implementing climate-
smart forestry strategies. This study deals with the use of airborne laser scanning data to …
smart forestry strategies. This study deals with the use of airborne laser scanning data to …
Analysis of algorithms for terrestrial recognition of woody vegetation using 3D-laser scanning technology
R Dyachenko, D Gura, S Samarin… - … series: earth and …, 2021 - iopscience.iop.org
This article analyzes the main algorithms for automated recognition of woody vegetation.
Their accuracy and feasibility of their use are analyzed in comparison with the traditional …
Their accuracy and feasibility of their use are analyzed in comparison with the traditional …
[PDF][PDF] Sentinel-2 MSI data for active fire detection in major fire-prone biomes: A multi-criteria approach
ABSTRACT Sentinel-2 MultiSpectral Instrument (MSI) data exhibits the great potential of
enhanced spatial and temporal coverage for monitoring biomass burning which could …
enhanced spatial and temporal coverage for monitoring biomass burning which could …