Map** tree species using CNN from bi-seasonal high-resolution drone optic and LiDAR data

ER Lee, WK Baek, HS Jung - Remote Sensing, 2023 - mdpi.com
As the importance of forests has increased, continuously monitoring and managing
information on forest ecology has become essential. The composition and distribution of tree …

Map** canopy heights in dense tropical forests using low-cost UAV-derived photogrammetric point clouds and machine learning approaches

H Zhang, M Bauters, P Boeckx, K Van Oost - Remote Sensing, 2021 - mdpi.com
Tropical forests are a key component of the global carbon cycle and climate change
mitigation. Field-or LiDAR-based approaches enable reliable measurements of the structure …

Integration of Unmanned Aerial Vehicle Imagery and Machine Learning Technology to Map the Distribution of Conifer and Broadleaf Canopy Cover in Uneven-Aged …

NM Htun, T Owari, S Tsuyuki, T Hiroshima - Drones, 2023 - mdpi.com
Uneven-aged mixed forests have been recognized as important contributors to biodiversity
conservation, ecological stability, carbon sequestration, the provisioning of ecosystem …

[PDF][PDF] Map** Planted Forests in the Korean Peninsula Using Artificial Intelligence

A Mitra, CI Alvarez, AO Abbasi, NL Harris, G Shao… - Forests, 2024 - researchgate.net
Forests are essential for maintaining the ecological balance of the planet and providing
critical ecosystem services. Amidst an increasing rate of global forest loss due to various …

A Review: Tree Species Classification Based on Remote Sensing Data and Classic Deep Learning-Based Methods

L Zhong, Z Dai, P Fang, Y Cao, L Wang - Forests, 2024 - mdpi.com
Timely and accurate information on tree species is of great importance for the sustainable
management of natural resources, forest inventory, biodiversity detection, and carbon stock …

[HTML][HTML] Satellite remote sensing images of crown segmentation and forest inventory based on BlendMask

Z Ji, J Xu, L Yan, J Ma, B Chen, Y Zhang, L Zhang… - Forests, 2024 - mdpi.com
This study proposes a low-cost method for crown segmentation and forest inventory based
on satellite remote sensing images and the deep learning model BlendMask. Taking Bei**g …

Map** the distribution of high-value broadleaf tree crowns through unmanned aerial vehicle image analysis using deep learning

NM Htun, T Owari, S Tsuyuki, T Hiroshima - Algorithms, 2024 - mdpi.com
High-value timber species with economic and ecological importance are usually distributed
at very low densities, such that accurate knowledge of the location of these trees within a …

Remote Sensing Identification and Rapid Yield Estimation of Pitaya Plants in Different Karst Mountainous Complex Habitats

Z Zhou, R Peng, R Li, Y Li, D Huang, M Zhu - Agriculture, 2023 - mdpi.com
The Pitaya industry is a specialty fruit industry in the mountainous region of Guizhou, China.
The planted area in Guizhou reaches 7200 ha, ranking first in the country. At present, Pitaya …

[HTML][HTML] High-resolution map** of tree species and associated uncertainty by combining aerial remote sensing data and convolutional neural networks ensemble

JD Sylvain, G Drolet, É Thiffault, F Anctil - International Journal of Applied …, 2024 - Elsevier
Map** tree species diversity is essential for monitoring and managing forest ecosystems.
Automating ecoforestry map** using remote sensing images remains an important …

[HTML][HTML] Detecting Canopy Gaps in Uneven-Aged Mixed Forests through the Combined Use of Unmanned Aerial Vehicle Imagery and Deep Learning

NM Htun, T Owari, S Tsuyuki, T Hiroshima - Drones, 2024 - mdpi.com
Canopy gaps and their associated processes play an important role in sha** forest
structure and dynamics. Understanding the information about canopy gaps allows forest …