Map** tree species using CNN from bi-seasonal high-resolution drone optic and LiDAR data
As the importance of forests has increased, continuously monitoring and managing
information on forest ecology has become essential. The composition and distribution of tree …
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
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 …
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 …
Uneven-aged mixed forests have been recognized as important contributors to biodiversity
conservation, ecological stability, carbon sequestration, the provisioning of ecosystem …
conservation, ecological stability, carbon sequestration, the provisioning of ecosystem …
[PDF][PDF] Map** Planted Forests in the Korean Peninsula Using Artificial Intelligence
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 …
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 …
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 …
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
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 …
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 …
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
Map** tree species diversity is essential for monitoring and managing forest ecosystems.
Automating ecoforestry map** using remote sensing images remains an important …
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
Canopy gaps and their associated processes play an important role in sha** forest
structure and dynamics. Understanding the information about canopy gaps allows forest …
structure and dynamics. Understanding the information about canopy gaps allows forest …