Tree Species Classification in a Temperate Mixed Mountain Forest Landscape Using Random Forest and Multiple Datasets

Can regional aerial images from orthophoto surveys produce high quality photogrammetric Canopy Height Model? A single tree approach in Western Europe

(2020) Adrien Michez et al.   International Journal of Applied Earth Observation and Geoinformation

The effect of leaf-on and leaf-off forest canopy conditions on LiDAR derived estimations of forest structural diversity

(2020) Sophie Davison et al.   International Journal of Applied Earth Observation and Geoinformation

Individual tree crown delineation and tree species classification with hyperspectral and LiDAR data

(2019) Michele Dalponte et al.   PeerJ

A data science challenge for converting airborne remote sensing data into ecological information

(2019) Sergio Marconi et al.   PeerJ

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

(2019) Sean Hartling et al.   SENSORS

Geographical Random Forests: A Spatial Extension of the Random Forest Algorithm to Address Spatial Heterogeneity in Remote Sensing and Population Modelling

(2019) Stefanos Georganos et al.   Geocarto International

Machine Learning Techniques for Tree Species Classification Using Co-Registered LiDAR and Hyperspectral Data

(2019) Julia Marrs et al.   Remote Sensing

Multi-Scale Remote Sensing-Assisted Forest Inventory: A Glimpse of the State-of-the-Art and Future Prospects

(2019) Hooman Latifi 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

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

(2019) Yuhong He et al.   Remote Sensing

Accurate modelling of canopy traits from seasonal Sentinel-2 imagery based on the vertical distribution of leaf traits

(2019) Tawanda W. Gara et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND 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

Tree species classification in a temperate mixed forest using a combination of imaging spectroscopy and airborne laser scanning

(2019) Hossein Torabzadeh et al.   AGRICULTURAL AND FOREST METEOROLOGY

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

Improving LiDAR-based tree species mapping in Central European mixed forests using multi-temporal digital aerial colour-infrared photographs

(2019) Yifang Shi et al.   International Journal of Applied Earth Observation and Geoinformation

Important LiDAR metrics for discriminating forest tree species in Central Europe

(2018) Yifang Shi 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

Spectral Properties of Coniferous Forests: A Review of In Situ and Laboratory Measurements

(2018) Miina Rautiainen et al.   Remote Sensing

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

(2018) Julia Maschler et al.   Remote Sensing

Tree Species Classification with Multi-Temporal Sentinel-2 Data

(2018) Magnus Persson et al.   Remote Sensing

Remote Sensing Technologies for Enhancing Forest Inventories: A Review

(2016) Joanne C. White et al.   CANADIAN JOURNAL OF REMOTE SENSING

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

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

Review of studies on tree species classification from remotely sensed data

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

Automatic Segment-Level Tree Species Recognition Using High Resolution Aerial Winter Imagery

(2016) Anton Kuzmin et al.   European Journal of Remote Sensing

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

(2016) Laurel Ballanti et al.   Remote Sensing

Remote Sensing Technologies for Enhancing Forest Inventories: A Review

(2016) Joanne C. White et al.   CANADIAN JOURNAL OF REMOTE SENSING

Building Predictive Models inRUsing thecaretPackage

(2015) Max Kuhn   Journal of Statistical Software

Disturbances in deciduous temperate forest ecosystems of the northern hemisphere: their effects on both recent and future forest development

(2013) Anton Fischer et al.   BIODIVERSITY AND CONSERVATION

Combining ensemble modeling and remote sensing for mapping individual tree species at high spatial resolution

(2013) Robin Engler et al.   FOREST ECOLOGY AND MANAGEMENT

Optical properties of leaves and needles for boreal tree species in Europe

(2013) Petr Lukeš et al.   Remote Sensing Letters

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

(2012) Markus Immitzer et al.   Remote Sensing

A Survey of Active Learning Algorithms for Supervised Remote Sensing Image Classification

(2011) Devis Tuia et al.   IEEE Journal of Selected Topics in Signal Processing

Exploring full-waveform LiDAR parameters for tree species classification

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

Support vector machines in remote sensing: A review

(2010) Giorgos Mountrakis et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Semi-automatic classification of tree species in different forest ecosystems by spectral and geometric variables derived from Airborne Digital Sensor (ADS40) and RC30 data

(2010) L.T. Waser et al.   REMOTE SENSING OF ENVIRONMENT

Mapping tree species in temperate deciduous woodland using time-series multi-spectral data

(2009) R. A. Hill et al.   APPLIED VEGETATION SCIENCE

Characterizing forest succession with lidar data: An evaluation for the Inland Northwest, USA

(2009) Michael J. Falkowski et al.   REMOTE SENSING OF ENVIRONMENT

Tree species differentiation using intensity data derived from leaf-on and leaf-off airborne laser scanner data

(2009) Sooyoung Kim et al.   REMOTE SENSING OF ENVIRONMENT

Analysis of full waveform LIDAR data for the classification of deciduous and coniferous trees

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

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