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Predicting the roadway width of forest roads by means of airborne laser scanning

International journal of applied earth observation and geoinformation, 2024-09, Vol.133, p.104109, Article 104109

2024

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Forest road quality control using ALS data

Canadian journal of forest research, 2015-11, Vol.45 (11), p.1636-1642

2015

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Forest Supply Chains During Digitalization: Current Implementations and Prospects in Near Future

Current forestry reports, 2024-06, Vol.10 (3), p.223-238

2024

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A Topographic Wetness Index for Forest Road Quality Assessment: An Application in the Lakeland Region of Finland

Forests, 2020-11, Vol.11 (11), p.1165

2020

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Utilisation of Spatial Data in Energy Biomass Supply Chain Research—A Review

Energies (Basel), 2023-01, Vol.16 (2), p.893

2023

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Species-specific combination and calibration between area-based and tree-based diameter distributions using airborne laser scanning

Canadian journal of forest research, 2016-06, Vol.46 (6), p.753-765

2016

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Tree species classification using airborne LiDAR : effects of stand and tree parameters, downsizing of training set, intensity normalization, and sensor type

Silva fennica (Helsinki, Finland : 1967), 2010, Vol.44 (2), p.319-339

2010

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Remote sensing‐based landscape indicators for the evaluation of threatened‐bird habitats in a tropical forest

Ecology and evolution, 2017-07, Vol.7 (13), p.4552-4567

2017

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Range and AGC normalization in airborne discrete-return LiDAR intensity data for forest canopies

ISPRS journal of photogrammetry and remote sensing, 2010-07, Vol.65 (4), p.369-379

2010

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Tropical forest canopy cover estimation using satellite imagery and airborne lidar reference data

Silva fennica (Helsinki, Finland : 1967), 2015-01, Vol.49 (5)

2015

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

Remote sensing of environment, 2013-11, Vol.138, p.27-37

2013

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Predicting Tree Diameter Distributions from Airborne Laser Scanning, SPOT 5 Satellite, and Field Sample Data in the Perm Region, Russia

Forests, 2018-10, Vol.9 (10), p.639

2018

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Integrating Detailed Timber Assortments into Airborne Laser Scanning (ALS)-Based Assessments of Logging Recoveries

Forests, 2021-09, Vol.12 (9), p.1221

2021

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Training Area Concept in a Two-Phase Biomass Inventory Using Airborne Laser Scanning and RapidEye Satellite Data

Remote sensing (Basel, Switzerland), 2014-01, Vol.6 (1), p.285-309

2014

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Predicting forest growth based on airborne light detection and ranging data, climate data, and a simplified process-based model

Canadian journal of forest research, 2013-04, Vol.43 (4), p.364-375

2013

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Correction: Rana, P., et al. Training Area Concept in a Two-Phase Biomass Inventory Using Airborne Laser Scanning and RapidEye Satellite Data. Remote Sens. 2014, 6, 285–309

Remote sensing (Basel, Switzerland), 2015-08, Vol.7 (8), p.10242-10242

2015

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Prediction of topsoil stoniness using soil type information and airborne gamma-ray data

Canadian journal of forest research, 2022-01, Vol.52 (1), p.27-37

2022

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On the potential to predetermine dominant tree species based on sparse-density airborne laser scanning data for improving subsequent predictions of species-specific timber volumes

Forest ecosystems, 2016-01, Vol.3 (1), p.1-17, Article 1

2016

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Imputation of single-tree attributes using airborne laser scanning-based height, intensity, and alpha shape metrics

Remote sensing of environment, 2010-06, Vol.114 (6), p.1263-1276

2010

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Remote Sensing Concepts and Their Applicability in REDD+ Monitoring

Current forestry reports, 2015-12, Vol.1 (4), p.252-260

Tokola, Timo

2015

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Estimation of tropical forest aboveground biomass in Nepal using multiple remotely sensed data and deep learning

International journal of remote sensing, 2023-09, Vol.44 (17), p.5147-5171

2023

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Predicting tree diameter using allometry described by non-parametric locally-estimated copulas from tree dimensions derived from airborne laser scanning

Forest ecology and management, 2019-02, Vol.434, p.205-212

2019

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Forest landscape shield models for assessing audio-visual disturbances of wind turbines

Journal of environmental management, 2024-02, Vol.352, p.120070-120070, Article 120070

2024

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Locally invariant analysis of forest road quality using two different pulse density airborne laser scanning datasets

Silva fennica (Helsinki, Finland : 1967), 2021, Vol.55 (1)

2021

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Alternative remote sensing materials and inventory strategies in tropical forest inventory - Case Lao PDR / Materiais alternativos de sensoriamento remoto e estratégias de inventário no inventário de florestas tropicais – Caso Lao PDR

Ambiência : revista do Setor de Ciências Agrárias e Ambientais, 2012-10, Vol.8 (Especial), p.483-500

2012

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Predicting the roadway width of forest roads by means of airborne laser scanning

Forest road quality control using ALS data

Forest Supply Chains During Digitalization: Current Implementations and Prospects in Near Future

A Topographic Wetness Index for Forest Road Quality Assessment: An Application in the Lakeland Region of Finland

Utilisation of Spatial Data in Energy Biomass Supply Chain Research—A Review

Species-specific combination and calibration between area-based and tree-based diameter distributions using airborne laser scanning

Tree species classification using airborne LiDAR : effects of stand and tree parameters, downsizing of training set, intensity normalization, and sensor type

Remote sensing‐based landscape indicators for the evaluation of threatened‐bird habitats in a tropical forest

Range and AGC normalization in airborne discrete-return LiDAR intensity data for forest canopies

Tropical forest canopy cover estimation using satellite imagery and airborne lidar reference data

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

Predicting Tree Diameter Distributions from Airborne Laser Scanning, SPOT 5 Satellite, and Field Sample Data in the Perm Region, Russia

Integrating Detailed Timber Assortments into Airborne Laser Scanning (ALS)-Based Assessments of Logging Recoveries

Training Area Concept in a Two-Phase Biomass Inventory Using Airborne Laser Scanning and RapidEye Satellite Data

Predicting forest growth based on airborne light detection and ranging data, climate data, and a simplified process-based model

Correction: Rana, P., et al. Training Area Concept in a Two-Phase Biomass Inventory Using Airborne Laser Scanning and RapidEye Satellite Data. Remote Sens. 2014, 6, 285–309

Prediction of topsoil stoniness using soil type information and airborne gamma-ray data

On the potential to predetermine dominant tree species based on sparse-density airborne laser scanning data for improving subsequent predictions of species-specific timber volumes

Imputation of single-tree attributes using airborne laser scanning-based height, intensity, and alpha shape metrics

Remote Sensing Concepts and Their Applicability in REDD+ Monitoring

Estimation of tropical forest aboveground biomass in Nepal using multiple remotely sensed data and deep learning

Predicting tree diameter using allometry described by non-parametric locally-estimated copulas from tree dimensions derived from airborne laser scanning

Forest landscape shield models for assessing audio-visual disturbances of wind turbines

Locally invariant analysis of forest road quality using two different pulse density airborne laser scanning datasets

Alternative remote sensing materials and inventory strategies in tropical forest inventory - Case Lao PDR / Materiais alternativos de sensoriamento remoto e estratégias de inventário no inventário de florestas tropicais – Caso Lao PDR

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