The Use of UAV Mounted Sensors for Precise Detection of Bark Beetle Infestation

Detection of Fir Trees (Abies sibirica) Damaged by the Bark Beetle in Unmanned Aerial Vehicle Images with Deep Learning

(2019) Anastasiia Safonova et al.   Remote Sensing

The potential of Unmanned Aerial Systems: A tool towards precision classification of hard-to-distinguish vegetation types?

(2018) Jan Komárek et al.   International Journal of Applied Earth Observation and Geoinformation

European spruce bark beetle ( Ips typographus, L.) green attack affects foliar reflectance and biochemical properties

(2018) Haidi Abdullah et al.   International Journal of Applied Earth Observation and Geoinformation

Estimation of positions and heights from UAV-sensed imagery in tree plantations in agrosilvopastoral systems

(2018) Peter Surový et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Remote sensing of bark beetle damage in urban forests at individual tree level using a novel hyperspectral camera from UAV and aircraft

(2018) Roope Näsi et al.   URBAN FORESTRY & URBAN GREENING

Tracking vegetation phenology across diverse North American biomes using PhenoCam imagery

(2018) Andrew D. Richardson et al.   Scientific Data

Selecting appropriate variables for detecting grassland to cropland changes using high resolution satellite data

(2018) Tomáš Klouček et al.   PeerJ

Spectral evidence of early-stage spruce beetle infestation in Engelmann spruce

(2017) Adrianna C. Foster et al.   FOREST ECOLOGY AND MANAGEMENT

Remote sensing of forest insect disturbances: Current state and future directions

(2017) Cornelius Senf et al.   International Journal of Applied Earth Observation and Geoinformation

Assessing very high resolution UAV imagery for monitoring forest health during a simulated disease outbreak

(2017) Jonathan P. Dash et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

A review of supervised object-based land-cover image classification

(2017) Lei Ma et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Forest disturbances under climate change

(2017) Rupert Seidl et al.   Nature Climate Change

Understanding Forest Health with Remote Sensing-Part II—A Review of Approaches and Data Models

(2017) Angela Lausch et al.   Remote Sensing

Timing Is Important: Unmanned Aircraft vs. Satellite Imagery in Plant Invasion Monitoring

(2017) Jana Müllerová et al.   Frontiers in Plant Science

Remote sensing of forest pest damage: a review and lessons learned from a Canadian perspective

(2016) R.J. Hall et al.   CANADIAN ENTOMOLOGIST

Determining tree height and crown diameter from high-resolution UAV imagery

(2016) Dimitrios Panagiotidis et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Landsat Imagery Spectral Trajectories—Important Variables for Spatially Predicting the Risks of Bark Beetle Disturbance

(2016) Martin Hais et al.   Remote Sensing

Understanding Forest Health with Remote Sensing -Part I—A Review of Spectral Traits, Processes and Remote-Sensing Characteristics

(2016) Angela Lausch et al.   Remote Sensing

Characterizing spectral–temporal patterns of defoliator and bark beetle disturbances using Landsat time series

(2015) Cornelius Senf et al.   REMOTE SENSING OF ENVIRONMENT

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

(2015) Roope Näsi et al.   Remote Sensing

Applicability of a vegetation indices-based method to map bark beetle outbreaks in the High Tatra Mountains

(2015) Mária Havašová et al.   Annals of Forest Research

nparLD: AnRSoftware Package for the Nonparametric Analysis of Longitudinal Data in Factorial Experiments

(2015) Kimihiro Noguchi et al.   Journal of Statistical Software

Landsat Time Series and Lidar as Predictors of Live and Dead Basal Area Across Five Bark Beetle-Affected Forests

(2014) Benjamin C. Bright et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Object-based extraction of bark beetle (Ips typographus L.) infestations using multi-date LANDSAT and SPOT satellite imagery

(2014) Hooman Latifi et al.   PROGRESS IN PHYSICAL GEOGRAPHY

Predicting live and dead tree basal area of bark beetle affected forests from discrete-return lidar

(2013) Benjamin C. Bright et al.   CANADIAN JOURNAL OF REMOTE SENSING

Spatial characterization of bark beetle infestations by a multidate synergy of SPOT and Landsat imagery

(2013) Hooman Latifi et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

Forecasting potential bark beetle outbreaks based on spruce forest vitality using hyperspectral remote-sensing techniques at different scales

(2013) A. Lausch et al.   FOREST ECOLOGY AND MANAGEMENT

Evaluating methods to detect bark beetle-caused tree mortality using single-date and multi-date Landsat imagery

(2013) Arjan J.H. Meddens et al.   REMOTE SENSING OF ENVIRONMENT

Assessing the potential of hyperspectral imagery to map bark beetle-induced tree mortality

(2013) Fabian Ewald Fassnacht et al.   REMOTE SENSING OF ENVIRONMENT

Cascading impacts of bark beetle-caused tree mortality on coupled biogeophysical and biogeochemical processes

(2012) Steven L Edburg et al.   FRONTIERS IN ECOLOGY AND THE ENVIRONMENT

Economic Impacts of Non-Native Forest Insects in the Continental United States

(2011) Juliann E. Aukema et al.   PLoS One

A Landsat time series approach to characterize bark beetle and defoliator impacts on tree mortality and surface fuels in conifer forests

(2011) Garrett W. Meigs et al.   REMOTE SENSING OF ENVIRONMENT

The European spruce bark beetle Ips typographus in a national park: from pest to keystone species

(2008) Jörg Müller et al.   BIODIVERSITY AND CONSERVATION

Cross-scale Drivers of Natural Disturbances Prone to Anthropogenic Amplification: The Dynamics of Bark Beetle Eruptions

(2008) Kenneth F. Raffa et al.   BIOSCIENCE