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

Comparative performance of convolutional neural network, weighted and conventional support vector machine and random forest for classifying tree species using hyperspectral and photogrammetric data

(2020) C. Sothe et al.   GIScience & Remote Sensing

A keystone species, European aspen (Populus tremula L.), in boreal forests: Ecological role, knowledge needs and mapping using remote sensing

(2020) Sonja Kivinen et al.   FOREST ECOLOGY AND MANAGEMENT

Detecting European Aspen (Populus tremula L.) in Boreal Forests Using Airborne Hyperspectral and Airborne Laser Scanning Data

(2020) Arto Viinikka et al.   Remote Sensing

Deep learning in remote sensing applications: A meta-analysis and review

(2019) Lei Ma et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Deep Learning for Classification of Hyperspectral Data: A Comparative Review

(2019) Nicolas Audebert et al.   IEEE Geoscience and Remote Sensing Magazine

A hybrid method for segmenting individual trees from airborne lidar data

(2019) Li Liu et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Plant disease identification using explainable 3D deep learning on hyperspectral images

(2019) Koushik Nagasubramanian et al.   Plant Methods

Land Cover Maps Production with High Resolution Satellite Image Time Series and Convolutional Neural Networks: Adaptations and Limits for Operational Systems

(2019) Andrei Stoian et al.   Remote Sensing

Importance of spatial predictor variable selection in machine learning applications – Moving from data reproduction to spatial prediction

(2019) Hanna Meyer et al.   ECOLOGICAL MODELLING

Tree species identification within an extensive forest area with diverse management regimes using airborne hyperspectral data

(2019) Aneta Modzelewska et al.   International Journal of Applied Earth Observation and Geoinformation

Deep learning for conifer/deciduous classification of airborne LiDAR 3D point clouds representing individual trees

(2019) Hamid Hamraz et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Deep learning classifiers for hyperspectral imaging: A review

(2019) M.E. Paoletti et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Connecting infrared spectra with plant traits to identify species

(2018) Maria F. Buitrago et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND 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

Usability of citizen science observations together with airborne laser scanning data in determining the habitat preferences of forest birds

(2018) L. Mononen et al.   FOREST ECOLOGY AND MANAGEMENT

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

(2018) Julia Maschler et al.   Remote Sensing

Individual tree crown approach for predicting site index in boreal forests using airborne laser scanning and hyperspectral data

(2017) Kaja Kandare et al.   International Journal of Applied Earth Observation and Geoinformation

Removing bias from LiDAR-based estimates of canopy height: Accounting for the effects of pulse density and footprint size

(2017) Jean-Romain Roussel et al.   REMOTE SENSING OF ENVIRONMENT

Individual Tree Detection and Classification with UAV-Based Photogrammetric Point Clouds and Hyperspectral Imaging

(2017) Olli Nevalainen et al.   Remote Sensing

Review of studies on tree species classification from remotely sensed data

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

Spectroscopic determination of ecologically relevant plant secondary metabolites

(2016) John J. Couture et al.   Methods in Ecology and Evolution

Tree-centric mapping of forest carbon density from airborne laser scanning and hyperspectral data

(2016) Michele Dalponte et al.   Methods in Ecology and Evolution

Effects of forest structure and airborne laser scanning point cloud density on 3D delineation of individual tree crowns

(2016) Kaja Kandare et al.   European Journal of Remote Sensing

Plant phenolics and absorption features in vegetation reflectance spectra near 1.66μm

(2015) Raymond F. Kokaly et al.   International Journal of Applied Earth Observation and Geoinformation

Differentiating plant species within and across diverse ecosystems with imaging spectroscopy

(2015) Keely L. Roth et al.   REMOTE SENSING OF ENVIRONMENT

The impact of spatial resolution on the classification of plant species and functional types within imaging spectrometer data

(2015) Keely L. Roth et al.   REMOTE SENSING OF ENVIRONMENT

Quantifying forest canopy traits: Imaging spectroscopy versus field survey

(2015) Gregory P. Asner et al.   REMOTE SENSING OF ENVIRONMENT

Operational Tree Species Mapping in a Diverse Tropical Forest with Airborne Imaging Spectroscopy

(2015) Claire A. Baldeck et al.   PLoS One

Meta-discoveries from a synthesis of satellite-based land-cover mapping research

(2014) Le Yu et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

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

(2014) Lars Waser et al.   Remote Sensing

Evaluation of simulated bands in airborne optical sensors for tree species identification

(2013) Paras Pant et al.   REMOTE SENSING OF ENVIRONMENT

Tree crown delineation and tree species classification in boreal forests using hyperspectral and ALS data

(2013) Michele Dalponte et al.   REMOTE SENSING OF ENVIRONMENT

Tree Species Discrimination in Tropical Forests Using Airborne Imaging Spectroscopy

(2012) Jean-Baptiste Feret et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

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

Exploring full-waveform LiDAR parameters for tree species classification

(2010) Johannes Heinzel et al.   International Journal of Applied Earth Observation and Geoinformation

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

Simulated Multispectral Imagery for Tree Species Classification Using Support Vector Machines

(2009) V. Heikkinen et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Airborne spectranomics: mapping canopy chemical and taxonomic diversity in tropical forests

(2008) Gregory P Asner et al.   FRONTIERS IN ECOLOGY AND THE ENVIRONMENT