Object-Based Approach Using Very High Spatial Resolution 16-Band WorldView-3 and LiDAR Data for Tree Species Classification in a Broadleaf Forest in Quebec, Canada

Estimating the Height and Basal Area at Individual Tree and Plot Levels in Canadian Subarctic Lichen Woodlands Using Stereo WorldView-3 Images

(2019) Benoît St-Onge 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

An Operational Workflow of Deciduous-Dominated Forest Species Classification: Crown Delineation, Gap Elimination, and Object-Based Classification

(2019) Yuhong He et al.   Remote Sensing

Classifying California plant species temporally using airborne hyperspectral imagery

(2019) Susan K. Meerdink et al.   REMOTE SENSING OF ENVIRONMENT

Estimating vegetation biomass and cover across large plots in shrub and grass dominated drylands using terrestrial lidar and machine learning

(2018) Kyle E. Anderson et al.   ECOLOGICAL INDICATORS

A new synergistic approach for monitoring wetlands using Sentinels -1 and 2 data with object-based machine learning algorithms

(2018) Andrew Whyte et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Comparing fully convolutional networks, random forest, support vector machine, and patch-based deep convolutional neural networks for object-based wetland mapping using images from small unmanned aircraft system

(2018) Tao Liu et al.   GIScience & Remote Sensing

Assessing the potential of multi-seasonal high resolution Pléiades satellite imagery for mapping urban tree species

(2018) Ruiliang Pu et al.   International Journal of Applied Earth Observation and Geoinformation

Ensemble classification of individual Pinus crowns from multispectral satellite imagery and airborne LiDAR

(2018) Collins B. Kukunda et al.   International Journal of Applied Earth Observation and Geoinformation

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

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

Identifying the genus or species of individual trees using a three-wavelength airborne lidar system

(2018) Brindusa Cristina Budei et al.   REMOTE SENSING OF ENVIRONMENT

Quantification of sawgrass marsh aboveground biomass in the coastal Everglades using object-based ensemble analysis and Landsat data

(2018) Caiyun Zhang et al.   REMOTE SENSING OF ENVIRONMENT

Large-area mapping of Canadian boreal forest cover, height, biomass and other structural attributes using Landsat composites and lidar plots

(2018) Giona Matasci et al.   REMOTE SENSING OF ENVIRONMENT

Diagnosis of Wetland Ecosystem Health in the Zoige Wetland, Sichuan of China

(2018) Chunying Wu et al.   WETLANDS

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

An Approach for High-Resolution Mapping of Hawaiian Metrosideros Forest Mortality Using Laser-Guided Imaging Spectroscopy

(2018) Nicholas Vaughn et al.   Remote Sensing

Feature Selection for Object-Based Classification of High-Resolution Remote Sensing Images Based on the Combination of a Genetic Algorithm and Tabu Search

(2018) Lei Shi et al.   Computational Intelligence and Neuroscience

Combining high spatial resolution multi-temporal satellite data with leaf-on LiDAR to enhance tree species discrimination at the crown level

(2018) Fang Fang et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Object-Based Image Analysis for Sago Palm Classification: The Most Important Features from High-Resolution Satellite Imagery

(2018) Sarip Hidayat et al.   Remote Sensing

Evaluation of Different Machine Learning Algorithms for Scalable Classification of Tree Types and Tree Species Based on Sentinel-2 Data

(2018) Mathias Wessel et al.   Remote Sensing

Improving the classification of six evergreen subtropical tree species with multi-season data from leaf spectra simulated to WorldView-2 and RapidEye

(2017) H. van Deventer et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Wetland classification using Radarsat-2 SAR quad-polarization and Landsat-8 OLI spectral response data: a case study in the Hudson Bay Lowlands Ecoregion

(2017) Steven E. Franklin et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

A machine-learning approach to forecasting remotely sensed vegetation health

(2017) John Nay et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Comparison of machine-learning techniques for landslide susceptibility mapping using two-level random sampling (2LRS) in Alakir catchment area, Antalya, Turkey

(2017) Metehan Ada et al.   NATURAL HAZARDS

Inventory of Close-to-Nature Forests Based on the Combination of Airborne LiDAR Data and Aerial Multispectral Images Using a Single-Tree Approach

(2017) Ivan Sačkov et al.   Forests

Assessment of the effects of training data selection on the landslide susceptibility mapping: a comparison between support vector machine (SVM), logistic regression (LR) and artificial neural networks (ANN)

(2017) Bahareh Kalantar et al.   Geomatics Natural Hazards & Risk

Individual Tree Crown Delineation from Airborne Laser Scanning for Diseased Larch Forest Stands

(2017) Chloe Barnes et al.   Remote Sensing

A Combined Random Forest and OBIA Classification Scheme for Mapping Smallholder Agriculture at Different Nomenclature Levels Using Multisource Data (Simulated Sentinel-2 Time Series, VHRS and DEM)

(2017) Valentine Lebourgeois et al.   Remote Sensing

Use of WorldView-2 stereo imagery and National Forest Inventory data for wall-to-wall mapping of growing stock

(2016) Markus Immitzer et al.   FOREST ECOLOGY AND MANAGEMENT

A robust approach for tree segmentation in deciduous forests using small-footprint airborne LiDAR data

(2016) Hamid Hamraz et al.   International Journal of Applied Earth Observation and Geoinformation

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

Mapping tree species in tropical seasonal semi-deciduous forests with hyperspectral and multispectral data

(2016) Matheus Pinheiro Ferreira et al.   REMOTE SENSING OF ENVIRONMENT

LiDAR waveform features for tree species classification and their sensitivity to tree- and acquisition related parameters

(2016) A. Hovi et al.   REMOTE SENSING OF ENVIRONMENT

Review of studies on tree species classification from remotely sensed data

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

Fusion of WorldView-2 and LiDAR Data to Map Fuel Types in the Canary Islands

(2016) Alfonso Alonso-Benito et al.   Remote Sensing

Accuracy of LiDAR-based tree height estimation and crown recognition in a subtropical evergreen broad-leaved forest in Okinawa, Japan

(2015) Azita Ahmad Zawawi et al.   Forest Systems

Hyperspectral Tree Species Classification of Japanese Complex Mixed Forest With the Aid of Lidar Data

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

Assessing the utility WorldView-2 imagery for tree species mapping in South African subtropical humid forest and the conservation implications: Dukuduku forest patch as case study

(2015) Moses Azong Cho et al.   International Journal of Applied Earth Observation and Geoinformation

Fusion of high spatial resolution WorldView-2 imagery and LiDAR pseudo-waveform for object-based image analysis

(2015) Yuhong Zhou et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Explaining forest productivity using tree functional traits and phylogenetic information: two sides of the same coin over evolutionary scale?

(2015) Alain Paquette et al.   Ecology and Evolution

Object-Based Urban Tree Species Classification Using Bi-Temporal WorldView-2 and WorldView-3 Images

(2015) Dan Li et al.   Remote Sensing

Feature Selection with theBorutaPackage

(2015) Miron B. Kursa et al.   Journal of Statistical Software

Simulating the impacts of error in species and height upon tree volume derived from airborne laser scanning data

(2014) Piotr Tompalski et al.   FOREST ECOLOGY AND MANAGEMENT

Towards automated segmentation of forest inventory polygons on high spatial resolution satellite imagery

(2014) Michael A Wulder et al.   FORESTRY CHRONICLE

Predicting fine-scale tree species abundance patterns using biotic variables derived from LiDAR and high spatial resolution imagery

(2014) Karin Y. van Ewijk et al.   REMOTE SENSING OF ENVIRONMENT

Intra-and-Inter Species Biomass Prediction in a Plantation Forest: Testing the Utility of High Spatial Resolution Spaceborne Multispectral RapidEye Sensor and Advanced Machine Learning Algorithms

(2014) Timothy Dube et al.   SENSORS

Forest Mapping Through Object-based Image Analysis of Multispectral and LiDAR Aerial Data

(2014) Martin Machala et al.   European Journal of Remote Sensing

Evaluation and Comparison of QuickBird and ADS40-SH52 Multispectral Imagery for Mapping Iberian Wild Pear Trees (Pyrus bourgaeana, Decne) in a Mediterranean Mixed Forest

(2014) Salvador Arenas-Castro et al.   Forests

Evaluating the Potential of WorldView-2 Data to Classify Tree Species and Different Levels of Ash Mortality

(2014) Lars Waser et al.   Remote Sensing

A framework for mapping tree species combining hyperspectral and LiDAR data: Role of selected classifiers and sensor across three spatial scales

(2013) Aniruddha Ghosh et al.   International Journal of Applied Earth Observation and Geoinformation

Tree Species Classification and Input Data Evaluation

(2013) Petra Krahwinkler et al.   European Journal of Remote Sensing

Delineating Individual Trees from Lidar Data: A Comparison of Vector- and Raster-based Segmentation Approaches

(2013) Marek Jakubowski et al.   Remote Sensing

Preprocessing unbalanced data using support vector machine

(2012) M.A.H. Farquad et al.   DECISION SUPPORT SYSTEMS

Tree Species Classification in Boreal Forests With Hyperspectral Data

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

Investigating multiple data sources for tree species classification in temperate forest and use for single tree delineation

(2012) Johannes Heinzel et al.   International Journal of Applied Earth Observation and Geoinformation

Tree species classification in the Southern Alps based on the fusion of very high geometrical resolution multispectral/hyperspectral images and LiDAR data

(2012) Michele Dalponte et al.   REMOTE SENSING OF ENVIRONMENT

Tree Species Classification with Random Forest Using Very High Spatial Resolution 8-Band WorldView-2 Satellite Data

(2012) Markus Immitzer et al.   Remote Sensing

Identifying leading species using tree crown metrics derived from very high spatial resolution imagery in a boreal forest environment

(2011) Brice Mora et al.   CANADIAN JOURNAL OF REMOTE SENSING

Assessing the utility of airborne hyperspectral and LiDAR data for species distribution mapping in the coastal Pacific Northwest, Canada

(2010) Trevor G. Jones et al.   REMOTE SENSING OF ENVIRONMENT

Synergistic use of QuickBird multispectral imagery and LIDAR data for object-based forest species classification

(2010) Yinghai Ke et al.   REMOTE SENSING OF ENVIRONMENT

Development of a standardized methodology for quantifying total chlorophyll and carotenoids from foliage of hardwood and conifer tree species

(2009) Rakesh Minocha et al.   CANADIAN JOURNAL OF FOREST RESEARCH

Species identification of individual trees by combining high resolution LiDAR data with multi‐spectral images

(2008) J. Holmgren et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Mapping surface fuel models using lidar and multispectral data fusion for fire behavior

(2007) M MUTLU et al.   REMOTE SENSING OF ENVIRONMENT

Estimation of leaf and canopy water content in poplar plantations by means of hyperspectral indices and inverse modeling

(2007) R COLOMBO et al.   REMOTE SENSING OF ENVIRONMENT