Importance of sample size, data type and prediction method for remote sensing-based estimations of aboveground forest biomass
Estimates of forest biomass are needed for various technical and scientific applications,
ranging from carbon and bioenergy policies to sustainable forest management. As local …
ranging from carbon and bioenergy policies to sustainable forest management. As local …
LiDAR applications to estimate forest biomass at individual tree scale: Opportunities, challenges and future perspectives
Accurate forest biomass estimation at the individual tree scale is the foundation of timber
industry and forest management. It plays an important role in explaining ecological issues …
industry and forest management. It plays an important role in explaining ecological issues …
Comparison of backpack, handheld, under-canopy UAV, and above-canopy UAV laser scanning for field reference data collection in boreal forests
In this work, we compared six emerging mobile laser scanning (MLS) technologies for field
reference data collection at the individual tree level in boreal forest conditions. The systems …
reference data collection at the individual tree level in boreal forest conditions. The systems …
A new method for segmenting individual trees from the lidar point cloud
Light Detection and Ranging (lidar) has been widely applied to characterize the 3-
dimensional (3D) structure of forests as it can generate 3D point data with high spatial …
dimensional (3D) structure of forests as it can generate 3D point data with high spatial …
Individual tree crown segmentation directly from UAV-borne LiDAR data using the PointNet of deep learning
X Chen, K Jiang, Y Zhu, X Wang, T Yun - Forests, 2021 - mdpi.com
Accurate individual tree crown (ITC) segmentation from scanned point clouds is a
fundamental task in forest biomass monitoring and forest ecology management. Light …
fundamental task in forest biomass monitoring and forest ecology management. Light …
Utility of multitemporal lidar for forest and carbon monitoring: Tree growth, biomass dynamics, and carbon flux
Lidar transforms how we map ecosystems, but its prospect for measuring ecosystem
dynamics is limited by practical factors, such as variation in lidar acquisition and lack of …
dynamics is limited by practical factors, such as variation in lidar acquisition and lack of …
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 …
Measuring individual tree diameter and height using GatorEye High-Density UAV-Lidar in an integrated crop-livestock-forest system
AP Dalla Corte, FE Rex, DRA Almeida, CR Sanquetta… - Remote Sensing, 2020 - mdpi.com
Accurate forest parameters are essential for forest inventory. Traditionally, parameters such
as diameter at breast height (DBH) and total height are measured in the field by level …
as diameter at breast height (DBH) and total height are measured in the field by level …
Generating pit-free canopy height models from airborne lidar
A Khosravipour, AK Skidmore… - … & Remote Sensing, 2014 - ingentaconnect.com
Canopy height models (CHMs) derived from lidar data have been applied to extract forest
inventory parameters. However, variations in modeled height cause data pits, which form a …
inventory parameters. However, variations in modeled height cause data pits, which form a …
[HTML][HTML] An international comparison of individual tree detection and extraction using airborne laser scanning
The objective of the “Tree Extraction” project organized by EuroSDR (European Spatial data
Research) and ISPRS (International Society of Photogrammetry and Remote Sensing) was …
Research) and ISPRS (International Society of Photogrammetry and Remote Sensing) was …