Structure from motion photogrammetry in forestry: A review

J Iglhaut, C Cabo, S Puliti, L Piermattei… - Current Forestry …, 2019 - Springer
Abstract Purpose of Review The adoption of Structure from Motion photogrammetry (SfM) is
transforming the acquisition of three-dimensional (3D) remote sensing (RS) data in forestry …

Digital aerial photogrammetry for updating area-based forest inventories: A review of opportunities, challenges, and future directions

TRH Goodbody, NC Coops, JC White - Current Forestry Reports, 2019 - Springer
Abstract Purpose of Review Three-dimensional (3D) data on forest structure have
transformed the level of detail and accuracy of forest information. While these 3D data have …

Individual tree detection from unmanned aerial vehicle (UAV) derived canopy height model in an open canopy mixed conifer forest

M Mohan, CA Silva, C Klauberg, P Jat, G Catts… - Forests, 2017 - mdpi.com
Advances in Unmanned Aerial Vehicle (UAV) technology and data processing capabilities
have made it feasible to obtain high-resolution imagery and three dimensional (3D) data …

Comparison of UAV LiDAR and digital aerial photogrammetry point clouds for estimating forest structural attributes in subtropical planted forests

L Cao, H Liu, X Fu, Z Zhang, X Shen, H Ruan - Forests, 2019 - mdpi.com
Estimating forest structural attributes of planted forests plays a key role in managing forest
resources, monitoring carbon stocks, and mitigating climate change. High-resolution and …

Remote sensing and forest inventories in Nordic countries–roadmap for the future

A Kangas, R Astrup, J Breidenbach… - … Journal of Forest …, 2018 - Taylor & Francis
The Nordic countries have long traditions in forest inventory and remote sensing (RS). In
sample-based national forest inventories (NFIs), utilization of aerial photographs started …

UAV photogrammetry of forests as a vulnerable process. A sensitivity analysis for a structure from motion RGB-image pipeline

J Frey, K Kovach, S Stemmler, B Koch - Remote Sensing, 2018 - mdpi.com
Structural analysis of forests by UAV is currently growing in popularity. Given the reduction in
platform costs, and the number of algorithms available to analyze data output, the number of …

Comparison of ALS-and UAV (SfM)-derived high-density point clouds for individual tree detection in Eucalyptus plantations

J Guerra-Hernández, DN Cosenza… - … Journal of Remote …, 2018 - Taylor & Francis
Highly accurate, rapid forest inventory techniques are needed to enable forest managers to
address the increasing demand for sustainable forestry. In the last two decades, Airborne …

A new approach with DTM-independent metrics for forest growing stock prediction using UAV photogrammetric data

F Giannetti, G Chirici, T Gobakken, E Næsset… - Remote Sensing of …, 2018 - Elsevier
We present a novel approach for the prediction of forest growing stock volume based on
explanatory variables from unmanned aerial vehicle (UAV) image photogrammetry without …

UAV remote sensing for biodiversity monitoring: Are forest canopy gaps good covariates?

MB Bagaram, D Giuliarelli, G Chirici, F Giannetti… - Remote Sensing, 2018 - mdpi.com
Forest canopy gaps are important to ecosystem dynamics. Depending on tree species, small
canopy openings may be associated with intra-crown porosity and with space among …

Very high density point clouds from UAV laser scanning for automatic tree stem detection and direct diameter measurement

K Kuželka, M Slavík, P Surový - Remote Sensing, 2020 - mdpi.com
Three-dimensional light detection and ranging (LiDAR) point clouds acquired from
unmanned aerial vehicles (UAVs) represent a relatively new type of remotely sensed data …