Deep Learning and Phenology Enhance Large-Scale Tree Species Classification in Aerial Imagery during a Biosecurity Response

Explainable identification and mapping of trees using UAV RGB image and deep learning

(2021) Masanori Onishi et al.   Scientific Reports

Tree species classification from airborne hyperspectral and LiDAR data using 3D convolutional neural networks

(2021) Janne Mäyrä et al.   REMOTE SENSING OF ENVIRONMENT

Large-Scale Mapping of Tree Species and Dead Trees in Šumava National Park and Bavarian Forest National Park Using Lidar and Multispectral Imagery

(2020) Peter Krzystek et al.   Remote Sensing

Development of spectral-phenological features for deep learning to understand Spartina alterniflora invasion

(2020) Jinyan Tian et al.   REMOTE SENSING OF ENVIRONMENT

Mapping forest tree species in high resolution UAV-based RGB-imagery by means of convolutional neural networks

(2020) Felix Schiefer et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

CNN-Based Tree Species Classification Using High Resolution RGB Image Data from Automated UAV Observations

(2020) Sebastian Egli et al.   Remote Sensing

Urban Tree Species Classification Using a WorldView-2/3 and LiDAR Data Fusion Approach and Deep Learning

(2019) Sean Hartling et al.   SENSORS

Tree species classification in tropical forests using visible to shortwave infrared WorldView-3 images and texture analysis

(2019) Matheus Pinheiro Ferreira et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

First Report of Myrtle Rust Caused by Austropuccinia psidii on Metrosideros kermadecensis on Raoul Island and on M. excelsa in Kerikeri, New Zealand

(2019) Wellcome Wai Hong Ho et al.   PLANT DISEASE

Integrating multi-sensor remote sensing and species distribution modeling to map the spread of emerging forest disease and tree mortality

(2019) Yinan He et al.   REMOTE SENSING OF ENVIRONMENT

Convolutional Neural Networks enable efficient, accurate and fine-grained segmentation of plant species and communities from high-resolution UAV imagery

(2019) Teja Kattenborn et al.   Scientific Reports

A Convolutional Neural Network Classifier Identifies Tree Species in Mixed-Conifer Forest from Hyperspectral Imagery

(2019) Geoffrey A. Fricker et al.   Remote Sensing

Tree species classification in Norway from airborne hyperspectral and airborne laser scanning data

(2018) Øivind Due Trier et al.   European Journal of Remote Sensing

Automated plant species identification—Trends and future directions

(2018) Jana Wäldchen et al.   PLoS Computational Biology

A Spectral Mapping Signature for the Rapid Ohia Death (ROD) Pathogen in Hawaiian Forests

(2018) Gregory Asner et al.   Remote Sensing

Clinically applicable deep learning for diagnosis and referral in retinal disease

(2018) Jeffrey De Fauw et al.   NATURE MEDICINE

Individual Tree Crown Segmentation and Classification of 13 Tree Species Using Airborne Hyperspectral Data

(2018) Julia Maschler et al.   Remote Sensing

LiDAR-Based Regional Inventory of Tall Trees—Wellington, New Zealand

(2018) Jan Zörner et al.   Forests

Practical guidelines for choosing GLCM textures to use in landscape classification tasks over a range of moderate spatial scales

(2017) Mryka Hall-Beyer   INTERNATIONAL JOURNAL OF REMOTE SENSING

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

Combining QuickBird, LiDAR, and GIS topography indices to identify a single native tree species in a complex landscape using an object-based classification approach

(2016) Lien T.H. Pham et al.   International Journal of Applied Earth Observation and Geoinformation

Random forest in remote sensing: A review of applications and future directions

(2016) Mariana Belgiu et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Enhancing the effectiveness of biological control programs of invasive species through a more comprehensive pest management approach

(2016) Joseph M DiTomaso et al.   PEST MANAGEMENT SCIENCE

Review of studies on tree species classification from remotely sensed data

(2016) Fabian Ewald Fassnacht et al.   REMOTE SENSING OF ENVIRONMENT

Tree Species Classification Using Hyperspectral Imagery: A Comparison of Two Classifiers

(2016) Laurel Ballanti et al.   Remote Sensing

Rust (Puccinia psidii) recorded in Indonesia poses a threat to forests and forestry in South-East Asia

(2015) Alistair R. McTaggart et al.   AUSTRALASIAN PLANT PATHOLOGY

Impact of the invasive rust Puccinia psidii (myrtle rust) on native Myrtaceae in natural ecosystems in Australia

(2015) Angus J. Carnegie et al.   BIOLOGICAL INVASIONS

Performance of Support Vector Machines and Artificial Neural Network for Mapping Endangered Tree Species Using WorldView-2 Data in Dukuduku Forest, South Africa

(2015) Galal Omer et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

ImageNet Large Scale Visual Recognition Challenge

(2015) Olga Russakovsky et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

New Zealand pest management: current and future challenges

(2015) SL Goldson et al.   JOURNAL OF THE ROYAL SOCIETY OF NEW ZEALAND

Deep learning

(2015) Yann LeCun et al.   NATURE

Durable resistance: A key to sustainable management of pathogens and pests

(2014) Christopher C. Mundt   INFECTION GENETICS AND EVOLUTION

The Myrtle rust pathogen, puccinia psidii, discovered in Africa

(2013) Jolanda Roux et al.   IMA Fungus

Hyperspectral Remote Sensing Data Analysis and Future Challenges

(2013) Jose M. Bioucas-Dias et al.   IEEE Geoscience and Remote Sensing Magazine

Tree Species Classification in Boreal Forests With Hyperspectral Data

(2012) Michele Dalponte et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

High-resolution tree canopy mapping for New York City using LIDAR and object-based image analysis

(2012) Sean W. MacFaden et al.   Journal of Applied Remote Sensing

Emergency response to the incursion of an exotic myrtaceous rust in Australia

(2011) Angus J. Carnegie et al.   AUSTRALASIAN PLANT PATHOLOGY

The effect of seasonal spectral variation on species classification in the Panamanian tropical forest

(2011) Michael Hesketh et al.   REMOTE SENSING OF ENVIRONMENT

Can we really manage tropical forests without knowing the species within? Getting back to the basics of forest management through taxonomy

(2010) André Eduardo Biscaia de Lacerda et al.   FOREST ECOLOGY AND MANAGEMENT

Object based image analysis for remote sensing

(2009) T. Blaschke   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Applications of Remote Sensing to Alien Invasive Plant Studies

(2009) Cho-ying Huang et al.   SENSORS