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

L-band SAR for estimating aboveground biomass of rubber plantation in Java Island, Indonesia

(2019) Bambang H. Trisasongko et al.   Geocarto International

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

Tree Species Classification in a Highly Diverse Subtropical Forest Integrating UAV-Based Photogrammetric Point Cloud and Hyperspectral Data

(2019) Camile Sothe et al.   Remote Sensing

A comparison of machine and deep-learning algorithms applied to multisource data for a subtropical forest area classification

(2019) C. Sothe et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

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

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

Crown-level tree species classification from AISA hyperspectral imagery using an innovative pixel-weighting approach

(2018) Haijian Liu et al.   International Journal of Applied Earth Observation and Geoinformation

Radiometric block adjustment of hyperspectral image blocks in the Brazilian environment

(2018) Gabriela Takahashi Miyoshi et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

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

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

Quantitative Remote Sensing at Ultra-High Resolution with UAV Spectroscopy: A Review of Sensor Technology, Measurement Procedures, and Data Correction Workflows

(2018) Helge Aasen et al.   Remote Sensing

Assessment of Classifiers and Remote Sensing Features of Hyperspectral Imagery and Stereo-Photogrammetric Point Clouds for Recognition of Tree Species in a Forest Area of High Species Diversity

(2018) Sakari Tuominen et al.   Remote Sensing

Hyperspectral Image Classification Using Convolutional Neural Networks and Multiple Feature Learning

(2018) Qishuo Gao et al.   Remote Sensing

Ecology’s remote-sensing revolution

(2018) Roberta Kwok   NATURE

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

(2018) Julia Maschler et al.   Remote Sensing

LiDAR Data Classification Using Spatial Transformation and CNN

(2018) Xin He et al.   IEEE Geoscience and Remote Sensing Letters

From hotspot to hopespot: An opportunity for the Brazilian Atlantic Forest

(2018) C.L. Rezende et al.   Perspectives in Ecology and Conservation

Deep learning in remote sensing scene classification: a data augmentation enhanced convolutional neural network framework

(2017) Xingrui Yu et al.   GIScience & Remote Sensing

Comparing six pixel-wise classifiers for tropical rural land cover mapping using four forms of fully polarimetric SAR data

(2017) Bambang H. Trisasongko et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Deciduous tree species classification using object-based analysis and machine learning with unmanned aerial vehicle multispectral data

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

Band registration of tuneable frame format hyperspectral UAV imagers in complex scenes

(2017) Eija Honkavaara et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Comparison of support vector machine, random forest and neural network classifiers for tree species classification on airborne hyperspectral APEX images

(2017) Edwin Raczko et al.   European Journal of Remote Sensing

Transferring Pre-Trained Deep CNNs for Remote Scene Classification with General Features Learned from Linear PCA Network

(2017) Jie Wang et al.   Remote Sensing

Tree-Species Classification in Subtropical Forests Using Airborne Hyperspectral and LiDAR Data

(2017) Xin Shen et al.   Remote Sensing

Classification of Tree Species in a Diverse African Agroforestry Landscape Using Imaging Spectroscopy and Laser Scanning

(2017) Rami Piiroinen et al.   Remote Sensing

Spectral–Spatial Classification of Hyperspectral Imagery with 3D Convolutional Neural Network

(2017) Ying Li et al.   Remote Sensing

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

(2017) Olli Nevalainen et al.   Remote Sensing

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

(2016) Matheus Pinheiro Ferreira 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

Deep Learning Based Oil Palm Tree Detection and Counting for High-Resolution Remote Sensing Images

(2016) Weijia Li et al.   Remote Sensing

Tree Species Abundance Predictions in a Tropical Agricultural Landscape with a Supervised Classification Model and Imbalanced Data

(2016) Sarah Graves et al.   Remote Sensing

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

(2016) Laurel Ballanti et al.   Remote Sensing

Comparison of Tree Species Classifications at the Individual Tree Level by Combining ALS Data and RGB Images Using Different Algorithms

(2016) Songqiu Deng et al.   Remote Sensing

First Experience with Sentinel-2 Data for Crop and Tree Species Classifications in Central Europe

(2016) Markus Immitzer et al.   Remote Sensing

Deep Learning for Remote Sensing Data: A Technical Tutorial on the State of the Art

(2016) Liangpei Zhang et al.   IEEE Geoscience and Remote Sensing Magazine

Semi-supervised SVM for individual tree crown species classification

(2015) Michele Dalponte et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

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

Spectral–spatial classification of hyperspectral images using deep convolutional neural networks

(2015) Jun Yue et al.   Remote Sensing Letters

Using UAV-Based Photogrammetry and Hyperspectral Imaging for Mapping Bark Beetle Damage at Tree-Level

(2015) Roope Näsi et al.   Remote Sensing

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

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

Comparison of Feature Reduction Algorithms for Classifying Tree Species With Hyperspectral Data on Three Central European Test Sites

(2014) Fabian E. Fassnacht et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Deep Learning-Based Classification of Hyperspectral Data

(2014) Yushi Chen et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Florística e estrutura do componente arbóreo e análise ambiental de um fragmento de Floresta Ombrófila Mista Alto-Montana no município de Painel, SC

(2013) Pedro Higuchi et al.   CIENCIA FLORESTAL

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

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

Processing and Assessment of Spectrometric, Stereoscopic Imagery Collected Using a Lightweight UAV Spectral Camera for Precision Agriculture

(2013) Eija Honkavaara et al.   Remote Sensing

Tree Species Classification in Boreal Forests With Hyperspectral Data

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

Tree Species Discrimination in Tropical Forests Using Airborne Imaging Spectroscopy

(2012) Jean-Baptiste Feret 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

Classification of savanna tree species, in the Greater Kruger National Park region, by integrating hyperspectral and LiDAR data in a Random Forest data mining environment

(2012) L. Naidoo et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Mapping tree species composition in South African savannas using an integrated airborne spectral and LiDAR system

(2012) Moses Azong Cho et al.   REMOTE SENSING OF ENVIRONMENT

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

Species-Level Differences in Hyperspectral Metrics among Tropical Rainforest Trees as Determined by a Tree-Based Classifier

(2012) Matthew L. Clark et al.   Remote Sensing

Brazilian Atlantic Forest lato sensu: the most ancient Brazilian forest, and a biodiversity hotspot, is highly threatened by climate change

(2011) AF. Colombo et al.   BRAZILIAN JOURNAL OF BIOLOGY

An assessment of the effectiveness of a random forest classifier for land-cover classification

(2011) V.F. Rodriguez-Galiano et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

The Brazilian Atlantic Forest: How much is left, and how is the remaining forest distributed? Implications for conservation

(2009) Milton Cezar Ribeiro et al.   BIOLOGICAL CONSERVATION

Conserving the hottest of the hotspots

(2008) William F. Laurance   BIOLOGICAL CONSERVATION

Invasive species detection in Hawaiian rainforests using airborne imaging spectroscopy and LiDAR

(2008) Gregory P. Asner et al.   REMOTE SENSING OF ENVIRONMENT