Reference health
Vertical botany: airborne remote sensing as an emerging tool for mistletoe research
1 of 70 checkable references need attention · checked 2026-07-24
At the dated check, the references listed below either did not resolve in Crossref or DataCite, or carried a retraction notice. Each one is shown with the registry record that put it there.
12 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.
References needing attention
does not resolve to a known work10.1021/acs. analchem.0c01490
The 69 checked references that resolve
resolves10.3390/rs9111110
Hyperspectral Imaging: A Review on UAV-Based Sensors, Data Processing and Applications for Agriculture and Forestry
resolves10.3832/ifor1035-006
Detecting mistletoe infestation on Silver fir using hyperspectral images
resolves10.1007/s101090100071
Considerations in collecting, processing, and analysing high spatial resolution hyperspectral data for environmental investigations
resolves10.1890/14-2429
Hemiparasite–host plant interactions in a fragmented landscape assessed via imaging spectroscopy and Li<scp>DAR</scp>
resolves10.1016/j.foreco.2021.119984
Comparison of field survey and remote sensing techniques for detection of bark beetle-infested trees
resolves10.1111/gcb.14834
Tree growth declines and mortality were associated with a parasitic plant during warm and dry climatic conditions in a temperate coniferous forest ecosystem
resolves10.1080/10095020.2017.1416994
Unmanned aerial vehicles (UAV) for assessment of qualitative classification of Norway spruce in temperate forest stands
resolves10.3390/f11090924
Estimating Individual Conifer Seedling Height Using Drone-Based Image Point Clouds
resolves10.1111/2041-210X.13463
Integrating airborne remote sensing and field campaigns for ecology and Earth system science
resolves10.7717/peerj.6227
Individual tree crown delineation and tree species classification with hyperspectral and LiDAR data
resolves10.3390/f12030327
Recent Advances in Unmanned Aerial Vehicle Forest Remote Sensing—A Systematic Review. Part I: A General Framework
resolves10.1016/j.rse.2021.112582
Monitoring restored tropical forest diversity and structure through UAV-borne hyperspectral and lidar fusion
resolves10.1139/B08-096
Mistletoe ecophysiology: host–parasite interactionsThis review is one of a collection of papers based on a presentation from the<i>Stem and Shoot Fungal Pathogens and Parasitic Plants: the Values of Biological Diversity</i>session of the XXII International Union of Forestry Research Organization World Congress meeting held in Brisbane, Queensland, Australia, in 2005.
resolves10.1016/j.rse.2007.12.014
Three decades of hyperspectral remote sensing of the Earth: A personal view
resolves10.1088/1748-9326/aa8fff
Mistletoe, friend and foe: synthesizing ecosystem implications of mistletoe infection
resolves10.5194/isprsarchives-XLI-B1-15-2016
POTENTIAL OF AIRBORNE IMAGING SPECTROSCOPY AT CZECHGLOBE
resolves10.13031/aea.14715
Deep-Pest-Detector: Automated Detection and Localization of Processionary Moth Nests on Pine Trees via Aerial Drones and Deep Neural Networks
resolves10.1007/978-3-030-61969-5_18
Identification of Tree Species in Japanese Forests Based on Aerial Photography and Deep Learning
resolves10.3390/rs12081287
Computer Vision and Deep Learning Techniques for the Analysis of Drone-Acquired Forest Images, a Transfer Learning Study
resolves10.3389/ffgc.2019.00012
Drone-Based Assessment of Canopy Cover for Analyzing Tree Mortality in an Oil Palm Agroforest
resolves10.3390/s19132871
Using Airborne Hyperspectral Imaging Spectroscopy to Accurately Monitor Invasive and Expansive Herb Plants: Limitations and Requirements of the Method
resolves10.1111/2041-210X.14058
Druid Drone—A portable unmanned aerial vehicle with a multifunctional manipulator for forest canopy and mistletoe research and management
resolves10.3390/f13020153
Design and Testing of a Novel Unoccupied Aircraft System for the Collection of Forest Canopy Samples
resolves10.5430/ijhe.v11n2p143
Integrating Natural Resources Education and Citizen Science Communication through the Use of Unmanned Aerial Systems (Drones)
resolves10.1109/icuas51884.2021.9476818
Assisted Canopy Sampling Using Unmanned Aerial Vehicles (UAVs)
resolves10.1007/s11270-020-04973-5
A Review on Air Quality Measurement Using an Unmanned Aerial Vehicle
resolves10.1016/j.scitotenv.2021.147758
Monitoring natural and anthropogenic plant stressors by hyperspectral remote sensing: Recommendations and guidelines based on a meta-review
resolves10.1007/s11676-019-00954-5
Identification of Arceuthobium globosum using unmanned aerial vehicle images in a high mountain forest of central Mexico
resolves10.1109/JSTARS.2020.3010092
New Airborne Thermal-Infrared Hyperspectral Imager System: Initial Validation
resolves10.1186/s13007-019-0547-0
An efficient RGB-UAV-based platform for field almond tree phenotyping: 3-D architecture and flowering traits
resolves10.1007/s11676-021-01328-6
Measuring loblolly pine crowns with drone imagery through deep learning
resolves10.3390/rs10122062
Can UAV-Based Infrared Thermography Be Used to Study Plant-Parasite Interactions between Mistletoe and Eucalypt Trees?
resolves10.14358/PERS.80.1.33
Basal Area and Biomass Estimates of Loblolly Pine Stands Using L-band UAVSAR
resolves10.1093/jee/toaa325
The Use of UAS to Release the Egg Parasitoid<i>Trichogramma</i>spp. (Hymenoptera: Trichogrammatidae) Against an Agricultural and a Forest Pest in Canada
resolves10.1016/j.rse.2021.112322
Tree species classification from airborne hyperspectral and LiDAR data using 3D convolutional neural networks
resolves10.3390/rs14030801
Genetic Programming Approach for the Detection of Mistletoe Based on UAV Multispectral Imagery in the Conservation Area of Mexico City
resolves10.3390/rs12111808
Digital Aerial Photogrammetry (DAP) and Airborne Laser Scanning (ALS) as Sources of Information about Tree Height: Comparisons of the Accuracy of Remote Sensing Methods for Tree Height Estimation
resolves10.1016/j.rse.2020.111646
Drought response of urban trees and turfgrass using airborne imaging spectroscopy
resolves10.1007/s41348-021-00502-6
Detection of mistletoe infected trees using UAV high spatial resolution images
resolves10.3390/biology11111645
Mitigating the Mistletoe Menace: Biotechnological and Smart Management Approaches
resolves10.14358/PERS.81.4.281
Overview and Current Status of Remote Sensing Applications Based on Unmanned Aerial Vehicles (UAVs)
resolves10.1126/scirobotics.abj7562
Bird-inspired dynamic grasping and perching in arboreal environments
resolves10.1109/TENSYMP50017.2020.9230971
Use of Deep Learning Approach on UAV imagery to Detect Mistletoe Infestation
resolves10.3390/drones6100301
Monitoring and Cordoning Wildfires with an Autonomous Swarm of Unmanned Aerial Vehicles
resolves10.1111/1365-2435.12418
A global analysis of water and nitrogen relationships between mistletoes and their hosts: broad‐scale tests of old and enduring hypotheses
resolves10.1016/j.eng.2020.07.001
Detection of the Pine Wilt Disease Tree Candidates for Drone Remote Sensing Using Artificial Intelligence Techniques
resolves10.3390/s22030757
Current State of Hyperspectral Remote Sensing for Early Plant Disease Detection: A Review
resolves10.1371/journal.pone.0176871
3D Forest: An application for descriptions of three-dimensional forest structures using terrestrial LiDAR
resolves10.3390/rs14246232
Ultra-High-Resolution UAV-Based Detection of Alternaria solani Infections in Potato Fields
resolves10.3390/rs15061524
A Multisensor UAV Payload and Processing Pipeline for Generating Multispectral Point Clouds
resolves10.1016/j.cageo.2013.11.006
Data processing of remotely sensed airborne hyperspectral data using the Airborne Processing Library (APL): Geocorrection algorithm descriptions and spatial accuracy assessment
resolves10.1146/annurev-ecolsys-102320-115331
Functional Roles of Parasitic Plants in a Warming World
resolves10.1111/efp.12669
Assessment of dwarf mistletoe (
<i>Arceuthobium sichuanense</i>
) infection in spruce trees by using hyperspectral data
The 12 references without a DOI — listed, not checked
no DOI — not checkedCoder K.D. 2016. American Mistletoe: tree infection, damage, and assessment manual. Warnell Outreach, School of Forestry and Natural Resources, University of Georgia Publication No. 36, Athens, GA. 38.
no DOI — not checkedMountain Forest and Range Experiment Station
no DOI — not checkedrefg41/ref41
no DOI — not checkedrefg56/ref56
no DOI — not checkedrefg57/ref57
no DOI — not checkedDrone LiDAR remote sensing for mistletoe recognition and monitoring
no DOI — not checkedDetection of mistletoe (Viscum album ssp. austriacum L.) in Scots pine stands using the MS and RGB UAV high-resolution orthophoto
no DOI — not checkedThe parasitic plant connection
no DOI — not checkedrefg65/ref65
no DOI — not checkedrefg67/ref67
no DOI — not checkedSpectrodirectional Imaging: from pixels to processes
no DOI — not checkedDetection and mapping of incidence of Viscum album in Pinus sylvestris forest of Southern French Alpe using satellite and airborne optical imagery. Master's Thesis
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work were clean at the dated check: each resolved to a known work in a public registry, and none
carried a retraction notice at that time. It says nothing about the quality, findings,
or importance of the work itself, and nothing about references deposited without a DOI.
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