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From forest to finished products: The contribution of Industry 4.0 technologies to the wood sector
This study offers a Systematic Literature Review of the main applications of Industry 4.0
technologies in the wood sector, from forest management and raw materials production to …
technologies in the wood sector, from forest management and raw materials production to …
Deep learning for forest inventory and planning: a critical review on the remote sensing approaches so far and prospects for further applications
Data processing for forestry applications is challenged by the increasing availability of multi-
source and multi-temporal data. The advancements of Deep Learning (DL) algorithms have …
source and multi-temporal data. The advancements of Deep Learning (DL) algorithms have …
[HTML][HTML] Comparison of machine learning methods for map** the stand characteristics of temperate forests using multi-spectral sentinel-2 data
The estimation and map** of forest stand characteristics are vital because this information
is necessary for sustainable forest management. The present study considers the use of a …
is necessary for sustainable forest management. The present study considers the use of a …
Automated machine learning driven stacked ensemble modeling for forest aboveground biomass prediction using multitemporal Sentinel-2 data
Modeling and large-scale map** of forest aboveground biomass (AGB) is a complicated,
challenging, and expensive task. There are considerable variations in forest characteristics …
challenging, and expensive task. There are considerable variations in forest characteristics …
Effects of numbers of observations and predictors for various model types on the performance of forest inventory with airborne laser scanning
Semi-and nonparametric models are popular in the area-based approach (ABA) using
airborne laser scanning. It is unclear, however, how many predictors and training plots are …
airborne laser scanning. It is unclear, however, how many predictors and training plots are …
Effects of model-overfit on model-assisted forest inventory in boreal forests with remote sensing data
While remote sensing can be an effective tool in building a forest inventory, field
measurements and model fitting can be both expensive and challenging. One strategy to …
measurements and model fitting can be both expensive and challenging. One strategy to …
A comparison of linear-mode and single-photon airborne LiDAR in species-specific forest inventories
Single-photon airborne light detection and ranging (LiDAR) systems provide high-density
data from high flight altitudes. We compared single-photon and linear-mode airborne LiDAR …
data from high flight altitudes. We compared single-photon and linear-mode airborne LiDAR …
Ormancılıkta makine öğrenmesi kullanımı
Gelişen teknolojiyle beraber diğer disiplinlerde olduğu gibi ormancılıkta da geleneksel
uygulamaların daha ekonomik, etkin, hızlı ve kolay yapılabilmesi için yenilikçi yaklaşımların …
uygulamaların daha ekonomik, etkin, hızlı ve kolay yapılabilmesi için yenilikçi yaklaşımların …
Potential of Bayesian formalism for the fusion and assimilation of sequential forestry data in time and space
Forest resource assessments based on multi-source and multi-temporal data have become
more common. Therefore, enhancing the prediction capabilities of forestry dynamics by …
more common. Therefore, enhancing the prediction capabilities of forestry dynamics by …
A method for forest canopy height inversion based on UAVSAR and Fourier–Legendre polynomial—Performance in different forest types
H Luo, C Yue, H Yuan, N Wang, S Chen - Drones, 2023 - mdpi.com
Map** forest canopy height at large regional scales is of great importance for the global
carbon cycle. Polarized interferometric synthetic aperture radar is an efficient and …
carbon cycle. Polarized interferometric synthetic aperture radar is an efficient and …