Evaluating annual spruce budworm defoliation using change detection of vegetation indices calculated from satellite hyperspectral imagery

Positive Results of an Early Intervention Strategy to Suppress a Spruce Budworm Outbreak after Five Years of Trials

(2019) David A. MacLean et al.   Forests

Key issues in rigorous accuracy assessment of land cover products

(2019) Stephen V. Stehman et al.   REMOTE SENSING OF ENVIRONMENT

Quantification of forest canopy changes caused by spruce budworm defoliation using digital hemispherical imagery

(2018) Shawn D. Donovan et al.   AGRICULTURAL AND FOREST METEOROLOGY

Implementation of machine-learning classification in remote sensing: an applied review

(2018) Aaron E. Maxwell et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Digital aerial photogrammetry for assessing cumulative spruce budworm defoliation and enhancing forest inventories at a landscape-level

(2018) Tristan R.H. Goodbody et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Estimating defoliation of Scots pine stands using machine learning methods and vegetation indices of Sentinel-2

(2018) Paweł Hawryło et al.   European Journal of Remote Sensing

Detection of Annual Spruce Budworm Defoliation and Severity Classification Using Landsat Imagery

(2018) Parinaz Rahimzadeh-Bajgiran et al.   Forests

Effects of Hardwood Content on Balsam Fir Defoliation during the Building Phase of a Spruce Budworm Outbreak

(2018) Bo Zhang et al.   Forests

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

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

Semi-supervised fuzzy neighborhood preserving analysis for feature extraction in hyperspectral remote sensing images

(2017) Hasan Ali Akyürek et al.   NEURAL COMPUTING & APPLICATIONS

Band Selection-Based Dimensionality Reduction for Change Detection in Multi-Temporal Hyperspectral Images

(2017) Sicong Liu et al.   Remote Sensing

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

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

Variable selection using support vector regression and random forests: A comparative study

(2016) Anis Ben Ishak   Intelligent Data Analysis

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

(2016) Laurel Ballanti 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

Semisupervised Classification of Remote Sensing Images With Hierarchical Spatial Similarity

(2015) Lian-Zhi Huo et al.   IEEE Geoscience and Remote Sensing Letters

Exploring issues of training data imbalance and mislabelling on random forest performance for large area land cover classification using the ensemble margin

(2015) Andrew Mellor et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

On the Importance of Training Data Sample Selection in Random Forest Image Classification: A Case Study in Peatland Ecosystem Mapping

(2015) Koreen Millard et al.   Remote Sensing

Re-examining wood supply in light of future spruce budworm outbreaks: A case study in New Brunswick

(2014) C.R. Hennigar et al.   FORESTRY CHRONICLE

Evaluating the impact of red-edge band from Rapideye image for classifying insect defoliation levels

(2014) Samuel Adelabu et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Spectral Discrimination of Insect Defoliation Levels in Mopane Woodland Using Hyperspectral Data

(2013) Samuel Adelabu et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

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

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

Economic impacts of forest pests: a case study of spruce budworm outbreaks and control in New Brunswick, Canada

(2012) Wei-Yew Chang et al.   CANADIAN JOURNAL OF FOREST RESEARCH

Collinearity: a review of methods to deal with it and a simulation study evaluating their performance

(2012) Carsten F. Dormann et al.   ECOGRAPHY

Predicting Thaumastocoris peregrinus damage using narrow band normalized indices and hyperspectral indices using field spectra resampled to the Hyperion sensor

(2012) Z. Oumar et al.   International Journal of Applied Earth Observation and Geoinformation

A general Landsat model to predict canopy defoliation in broadleaf deciduous forests

(2012) Philip A. Townsend et al.   REMOTE SENSING OF ENVIRONMENT

Evaluation of cross-track illumination in EO-1 Hyperion imagery for lithological mapping

(2011) B. Taner San et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Learning from Imbalanced Data

(2009) Haibo He et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Harshness in image classification accuracy assessment

(2008) Giles M. Foody   INTERNATIONAL JOURNAL OF REMOTE SENSING

Ash decline assessment in emerald ash borer-infested regions: A test of tree-level, hyperspectral technologies

(2008) Jennifer Pontius et al.   REMOTE SENSING OF ENVIRONMENT

Estimating the effect of gypsy moth defoliation using MODIS

(2008) K DEBEURS et al.   REMOTE SENSING OF ENVIRONMENT