Application of optical unmanned aerial vehicle-based imagery for the inventory of natural regeneration and standing deadwood in post-disturbed spruce forests

Effects of natural disturbances and salvage logging on biodiversity – Lessons from the Bohemian Forest

(2017) Simon Thorn et al.   FOREST ECOLOGY AND MANAGEMENT

Trends in post-disturbance recovery rates of Canada’s forests following wildfire and harvest

(2016) Samuel F. Bartels et al.   FOREST ECOLOGY AND MANAGEMENT

Using Digital Aerial Photogrammetry and the Random Forest Approach to Model Forest Inventory Attributes in Beech- and Spruce-dominated Central European Forests

(2016) Christoph Straub et al.   Photogrammetrie Fernerkundung Geoinformation

Using canopy heights from digital aerial photogrammetry to enable spatial transfer of forest attribute models: a case study in central Europe

(2016) Christoph Stepper et al.   SCANDINAVIAN JOURNAL OF FOREST RESEARCH

Assessment of Forest Structure Using Two UAV Techniques: A Comparison of Airborne Laser Scanning and Structure from Motion (SfM) Point Clouds

(2016) Luke Wallace et al.   Forests

Forest inventories by LiDAR data: A comparison of single tree segmentation and metric-based methods for inventories of a heterogeneous temperate forest

(2015) Hooman Latifi et al.   International Journal of Applied Earth Observation and Geoinformation

Using UAV-Based Photogrammetry and Hyperspectral Imaging for Mapping Bark Beetle Damage at Tree-Level

(2015) Roope Näsi et al.   Remote Sensing

High-Resolution Airborne UAV Imagery to Assess Olive Tree Crown Parameters Using 3D Photo Reconstruction: Application in Breeding Trials

(2015) Ramón Díaz-Varela et al.   Remote Sensing

Optimal Altitude, Overlap, and Weather Conditions for Computer Vision UAV Estimates of Forest Structure

(2015) Jonathan Dandois et al.   Remote Sensing

Inventory of Small Forest Areas Using an Unmanned Aerial System

(2015) Stefano Puliti et al.   Remote Sensing

Estimation of the mean tree height of forest stands by photogrammetric measurement using digital aerial images of high spatial resolution

(2015) Ivan Balenović et al.   Annals of Forest Research

Drone remote sensing for forestry research and practices

(2015) Lina Tang et al.   JOURNAL OF FORESTRY RESEARCH

Tree height quantification using very high resolution imagery acquired from an unmanned aerial vehicle (UAV) and automatic 3D photo-reconstruction methods

(2014) P.J. Zarco-Tejada et al.   EUROPEAN JOURNAL OF AGRONOMY

On correcting the time-lag bias in aerial-surveyed bark beetle infestation data

(2014) Markus Kautz   FOREST ECOLOGY AND MANAGEMENT

Assessing height changes in a highly structured forest using regularly acquired aerial image data

(2014) C. Stepper et al.   FORESTRY

Spatial patterns with memory: tree regeneration after stand-replacing disturbance inPicea abiesmountain forests

(2014) Jan Wild et al.   JOURNAL OF VEGETATION SCIENCE

Increasing forest disturbances in Europe and their impact on carbon storage

(2014) Rupert Seidl et al.   Nature Climate Change

Improving Transboundary Maps of Potential Natural Vegetation Using Statistical Modeling Based on Environmental Predictors

(2013) Hagen S. Fischer et al.   FOLIA GEOBOTANICA

High spatial resolution three-dimensional mapping of vegetation spectral dynamics using computer vision

(2013) Jonathan P. Dandois et al.   REMOTE SENSING OF ENVIRONMENT

A Photogrammetric Workflow for the Creation of a Forest Canopy Height Model from Small Unmanned Aerial System Imagery

(2013) Jonathan Lisein et al.   Forests

Forest variable estimation using photogrammetric matching of digital aerial images in combination with a high-resolution DEM

(2012) Jonas Bohlin et al.   SCANDINAVIAN JOURNAL OF FOREST RESEARCH

Remote Sensing Leaf Chlorophyll Content Using a Visible Band Index

(2011) E. Raymond Hunt et al.   AGRONOMY JOURNAL

Disturbance and landscape dynamics in a changing world1

(2010) Monica G. Turner   ECOLOGY

Natural development and regeneration of a Central European montane spruce forest

(2010) Miroslav Svoboda et al.   FOREST ECOLOGY AND MANAGEMENT