Lauri Korhonen

Orcid: 0000-0002-9352-0114

According to our database1, Lauri Korhonen authored at least 27 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Comparison of Semi-Physical and Empirical Models in the Estimation of Boreal Forest Leaf Area Index and Clumping With Airborne Laser Scanning Data.
IEEE Trans. Geosci. Remote. Sens., 2024

2023
Estimating Crown Biomass in a Multilayered Fir Forest Using Airborne LiDAR Data.
Remote. Sens., 2023

2022
A Comparison of Linear-Mode and Single-Photon Airborne LiDAR in Species-Specific Forest Inventories.
IEEE Trans. Geosci. Remote. Sens., 2022

2021
Detection of European Aspen (Populus tremula L.) Based on an Unmanned Aerial Vehicle Approach in Boreal Forests.
Remote. Sens., 2021

Estimation of Individual Tree Stem Biomass in an Uneven-Aged Structured Coniferous Forest Using Multispectral LiDAR Data.
Remote. Sens., 2021

Transferability of ALS-based forest attribute models when predicting with drone-based image point cloud data.
Int. J. Appl. Earth Obs. Geoinformation, 2021

Fusion of crown and trunk detections from airborne UAS based laser scanning for small area forest inventories.
Int. J. Appl. Earth Obs. Geoinformation, 2021

2020
Erratum: Stefanidou, A., et al. LiDAR-Based Estimates of Canopy Base Height for a Dense Uneven-Aged Structured Forest. Remote Sensing 2020, 12, 1565.
Remote. Sens., 2020

LiDAR-Based Estimates of Canopy Base Height for a Dense Uneven-Aged Structured Forest.
Remote. Sens., 2020

Multispectral LiDAR-Based Estimation of Surface Fuel Load in a Dense Coniferous Forest.
Remote. Sens., 2020

Direct Estimation of Forest Leaf Area Index based on Spectrally Corrected Airborne LiDAR Pulse Penetration Ratio.
Remote. Sens., 2020

2019
Multispectral Airborne LiDAR Data in the Prediction of Boreal Tree Species Composition.
IEEE Trans. Geosci. Remote. Sens., 2019

2018
How much can airborne laser scanning based forest inventory by tree species benefit from auxiliary optical data?
Int. J. Appl. Earth Obs. Geoinformation, 2018

2017
Application of 3D triangulations of airborne laser scanning data to estimate boreal forest leaf area index.
Int. J. Appl. Earth Obs. Geoinformation, 2017

2016
Tracking the Seasonal Dynamics of Boreal Forest Photosynthesis Using EO-1 Hyperion Reflectance: Sensitivity to Structural and Illumination Effects.
IEEE Trans. Geosci. Remote. Sens., 2016

The accuracy of large-area forest canopy cover estimation using Landsat in boreal region.
Int. J. Appl. Earth Obs. Geoinformation, 2016

Estimating the clumping index at two contrasting points in the growing season using a variety of field-based methods.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

2015
Correction: Rana, P., <i>et al</i>. Training Area Concept in a Two-Phase Biomass Inventory Using Airborne Laser Scanning and RapidEye Satellite Data. <i>Remote Sens</i>, 2014, 6, 285-309.
Remote. Sens., 2015

2014
Bayesian Approach to Tree Detection Based on Airborne Laser Scanning Data.
IEEE Trans. Geosci. Remote. Sens., 2014

Training Area Concept in a Two-Phase Biomass Inventory Using Airborne Laser Scanning and RapidEye Satellite Data.
Remote. Sens., 2014

2012
Airborne Estimation of Boreal Forest LAI in Winter Conditions: A Test Using Summer and Winter Ground Truth.
IEEE Trans. Geosci. Remote. Sens., 2012

Boreal forest albedo and LAI in SNORTEX 2008-2010.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

Bayesian approach to tree detection with airborne laser scanning.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

2011
Retrieval of boreal forest LAI using a forest reflectance model and empirical regressions.
Int. J. Appl. Earth Obs. Geoinformation, 2011

Generating fine resolution leaf area index maps for boreal forests of Finland.
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

2010
Estimation of boreal forest LAI in winter conditions: Test of a new method using wide optics airborne images.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010

2009
Leaf Area Index (LAI) Estimation of Boreal Forest Using Wide Optics Airborne Winter Photos.
Remote. Sens., 2009


  Loading...