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Global review and state-of-the-art of biomass and carbon stock in the Amazon
Understanding how studies have been carried out in the region helps to understand the
Amazon rainforest potential in mitigating climate change. In addition, evaluating scientific …
Amazon rainforest potential in mitigating climate change. In addition, evaluating scientific …
A brief overview and perspective of using airborne Lidar data for forest biomass estimation
Lidar data have been regarded as the most important data source for accurate forest
biomass estimation. Different platforms such as terrestrial Laser scanning, unmanned aerial …
biomass estimation. Different platforms such as terrestrial Laser scanning, unmanned aerial …
Forest inventory with high-density UAV-Lidar: Machine learning approaches for predicting individual tree attributes
AP Dalla Corte, DV Souza, FE Rex… - … and Electronics in …, 2020 - Elsevier
The high dimensionality of data generated by Unmanned Aerial Vehicle (UAV)-Lidar makes
it difficult to use classical statistical techniques to design accurate predictive models from …
it difficult to use classical statistical techniques to design accurate predictive models from …
Performance and sensitivity of individual tree segmentation methods for UAV-LiDAR in multiple forest types
Using unmanned aerial vehicles (UAV) as platforms for light detection and ranging (LiDAR)
sensors offers the efficient operation and advantages of active remote sensing; hence, UAV …
sensors offers the efficient operation and advantages of active remote sensing; hence, UAV …
[HTML][HTML] A comparative analysis of machine learning techniques for aboveground biomass estimation: A case study of the Western Ghats, India
K Ayushi, KN Babu, N Ayyappan, JR Nair… - Ecological …, 2024 - Elsevier
Accurate assessment of aboveground biomass (AGB) in tropical forests, particularly within a
biodiversity hotspot, is vital for sustainable resource management and the preservation of …
biodiversity hotspot, is vital for sustainable resource management and the preservation of …
[HTML][HTML] Modelling tree biomass using direct and additive methods with point cloud deep learning in a temperate mixed forest
Airborne laser scanning (ALS) data has been widely used for total aboveground tree
biomass (AGB) modelling, however, there is less research focusing on estimating specific …
biomass (AGB) modelling, however, there is less research focusing on estimating specific …
[HTML][HTML] An overview of using unmanned aerial system mounted sensors to measure plant above-ground biomass
Conventional measurement methods for above-ground biomass (AGB) are time-consuming,
inaccurate, and labor-intensive. Unmanned aerial systems (UASs) have emerged as a …
inaccurate, and labor-intensive. Unmanned aerial systems (UASs) have emerged as a …
[HTML][HTML] Estimation of national forest aboveground biomass from multi-source remotely sensed dataset with machine learning algorithms in China
Z Tang, X ** above-ground biomass in the West Usambara tropical montane forests
Above-ground biomass (AGB) estimation is important to better understand the carbon cycle
and improve the efficiency of forest policy and management activities. AGB estimation …
and improve the efficiency of forest policy and management activities. AGB estimation …
Ten-year estimation of Oriental beech (Fagus orientalis Lipsky) volume increment in natural forests: a comparison of an artificial neural networks model, multiple …
Determining forest volume increment, the potential of wood production in natural forests, is a
complex issue but is of fundamental importance to sustainable forest management …
complex issue but is of fundamental importance to sustainable forest management …