A description and test results for a new method for automatically isolating individual trees from UAV LiDAR point clouds is presented. The isolation method is based on shortest path computations with height from the ground working as a restriction. The method is tested on a 4 ha tropical forest plot, which is also scanned with TLS to provide comparison data for the isolation results. The comparison results show that on average the intersection volume of the common voxel volume between TLS and UAV trees covers 56 % of the TLS tree and 44 % of the UAV trees.Peer reviewe
We present the development of a low-cost Unmanned Aerial Vehicle-Light Detecting and Ranging (UAV-Li...
We present the development of a low-cost Unmanned Aerial Vehicle-Light Detecting and Ranging (UAV-Li...
Canopy closure (CC), a useful biophysical parameter for forest structure, is an important indicator ...
A description and test results for a new method for automatically isolating individual trees from UA...
Using unmanned aerial vehicles (UAV) as platforms for light detection and ranging (LiDAR) sensors of...
In this paper, single tree extraction was carried out using the first and last pulse airborne LIght ...
Light detection and Ranging (LiDAR) is becoming an increasingly used tool to support decision-making...
LiDAR data acquired by various platforms provide unprecedented data for forest inventory and managem...
The present study addresses the tree counting of a Eucalyptus plantation, the most widely planted ha...
The estimation of dendrometric parameters has become an important issue for agriculture planning and...
High density airborne LiDAR, for example FLI-MAP 400 data, has opened an opportunity for individual ...
Leaf and wood separation is a key step to allow a new range of estimates from Terrestrial LiDAR data...
A high resolution Airborne LiDAR data creates better opportunity for an individual tree measurement ...
Forests play a key role in terrestrial ecosystems, and the variables extracted from single trees can...
Individual tree (IT) segmentation is crucial for forest management, supporting forest inventory, bio...
We present the development of a low-cost Unmanned Aerial Vehicle-Light Detecting and Ranging (UAV-Li...
We present the development of a low-cost Unmanned Aerial Vehicle-Light Detecting and Ranging (UAV-Li...
Canopy closure (CC), a useful biophysical parameter for forest structure, is an important indicator ...
A description and test results for a new method for automatically isolating individual trees from UA...
Using unmanned aerial vehicles (UAV) as platforms for light detection and ranging (LiDAR) sensors of...
In this paper, single tree extraction was carried out using the first and last pulse airborne LIght ...
Light detection and Ranging (LiDAR) is becoming an increasingly used tool to support decision-making...
LiDAR data acquired by various platforms provide unprecedented data for forest inventory and managem...
The present study addresses the tree counting of a Eucalyptus plantation, the most widely planted ha...
The estimation of dendrometric parameters has become an important issue for agriculture planning and...
High density airborne LiDAR, for example FLI-MAP 400 data, has opened an opportunity for individual ...
Leaf and wood separation is a key step to allow a new range of estimates from Terrestrial LiDAR data...
A high resolution Airborne LiDAR data creates better opportunity for an individual tree measurement ...
Forests play a key role in terrestrial ecosystems, and the variables extracted from single trees can...
Individual tree (IT) segmentation is crucial for forest management, supporting forest inventory, bio...
We present the development of a low-cost Unmanned Aerial Vehicle-Light Detecting and Ranging (UAV-Li...
We present the development of a low-cost Unmanned Aerial Vehicle-Light Detecting and Ranging (UAV-Li...
Canopy closure (CC), a useful biophysical parameter for forest structure, is an important indicator ...