Markus Holopainen

Markus Holopainen

Helsingin yliopisto

H-index: 52

Europe-Finland

About Markus Holopainen

Markus Holopainen, With an exceptional h-index of 52 and a recent h-index of 37 (since 2020), a distinguished researcher at Helsingin yliopisto,

His recent articles reflect a diverse array of research interests and contributions to the field:

Significant increase observed in tree mortality in boreal forests in Southern Finland

Upper stem diameter and volume prediction strategies in the National Forest Inventory of Finland

Individual tree segmentation and species classification using high-density close-range multispectral laser scanning data

A method for identifying and segmenting branches of Scots pine (Pinus sylvestris L.) trees using terrestrial laser scanning

Influence of phenology on waveform features in deciduous and coniferous trees in airborne LiDAR

A New Approach for Feeding Multispectral Imagery into Convolutional Neural Networks Improved Classification of Seedlings

Low-density lipoprotein particles carrying proinflammatory proteins with altered aggregation pattern detected in COVID-19 patients 3 months after hospitalization

Comparing field measurements and annotations as training data for UAV-based detection of standing dead trees in coniferous forest

Markus Holopainen Information

University

Position

Professor of Geoinformatics Department of Forest Sciences

Citations(all)

11097

Citations(since 2020)

6247

Cited By

7584

hIndex(all)

52

hIndex(since 2020)

37

i10Index(all)

154

i10Index(since 2020)

115

Email

University Profile Page

Helsingin yliopisto

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Top articles of Markus Holopainen

Title

Journal

Author(s)

Publication Date

Significant increase observed in tree mortality in boreal forests in Southern Finland

Samuli Junttila

Minna Blomqvist

Ville Laukkanen

Hannah O'Sullivan

Antti Polvivaara

...

2024/3/7

Upper stem diameter and volume prediction strategies in the National Forest Inventory of Finland

Silva Fennica

Virpi Stenman

Markus Holopainen

Annika Kangas

2023

Individual tree segmentation and species classification using high-density close-range multispectral laser scanning data

ISPRS Open Journal of Photogrammetry and Remote Sensing

Aada Hakula

Lassi Ruoppa

Matti Lehtomäki

Xiaowei Yu

Antero Kukko

...

2023/8/1

A method for identifying and segmenting branches of Scots pine (Pinus sylvestris L.) trees using terrestrial laser scanning

Forestry: An International Journal of Forest Research

Tuomas Yrttimaa

Ville Kankare

Ville Luoma

Samuli Junttila

Ninni Saarinen

...

2023/12/4

Influence of phenology on waveform features in deciduous and coniferous trees in airborne LiDAR

Remote Sensing of Environment

Ilkka Korpela

Antti Polvivaara

Aarne Hovi

Samuli Junttila

Markus Holopainen

2023/8/1

A New Approach for Feeding Multispectral Imagery into Convolutional Neural Networks Improved Classification of Seedlings

Remote Sensing

Mohammad Imangholiloo

Ville Luoma

Markus Holopainen

Mikko Vastaranta

Antti Mäkeläinen

...

2023/11/3

Low-density lipoprotein particles carrying proinflammatory proteins with altered aggregation pattern detected in COVID-19 patients 3 months after hospitalization

Journal of Infection

Thor Ueland

Lauri AO Äikäs

Tuva B Dahl

Ida Gregersen

Maria Belland Olsen

...

2023/5/1

Comparing field measurements and annotations as training data for UAV-based detection of standing dead trees in coniferous forest

International Journal of Remote Sensing

Einari Heinaro

Topi Tanhuanpää

Antero Kukko

Teemu Hakala

Markus Holopainen

2023/9/2

Capturing seasonal radial growth of boreal trees with terrestrial laser scanning

Forest Ecology and Management

Tuomas Yrttimaa

Samuli Junttila

Ville Luoma

Kim Calders

Ville Kankare

...

2023/2/1

Digging through Databases—A Case Study of Iron Age Sites in Finland by Generating and Analysing Keywords

Heritage

Johanna Roiha

Markus Holopainen

2023/8/18

Evaluating Factors Impacting Fallen Tree Detection from Airborne Laser Scanning Point Clouds

Remote Sensing

Einari Heinaro

Topi Tanhuanpää

Mikko Vastaranta

Tuomas Yrttimaa

Antero Kukko

...

2023/1/8

Branch information extraction from Norway spruce using handheld laser scanning point clouds in Nordic forests

ISPRS Open Journal of Photogrammetry and Remote Sensing

Olli Winberg

Jiri Pyörälä

Xiaowei Yu

Harri Kaartinen

Antero Kukko

...

2023/8/1

Close-range remote sensing of forests: The state of the art, challenges, and opportunities for systems and data acquisitions

Xinlian Liang

Antero Kukko

Ivan Balenovic

Ninni Saarinen

Samuli Junttila

...

2022

Defoliation-Induced Growth Reduction of Pinus sylvestris L. after a Prolonged Outbreak of Diprion pini L.—A Case Study from Eastern Finland

Forests

Minna Blomqvist

Päivi Lyytikäinen-Saarenmaa

Maiju Kosunen

Tuula Kantola

Markus Holopainen

2022/5/27

Predicting Growth of Individual Trees Directly and Indirectly Using 20-Year Bitemporal Airborne Laser Scanning Point Cloud Data

Forests

Valtteri Soininen

Antero Kukko

Xiaowei Yu

Harri Kaartinen

Ville Luoma

...

2022/11/30

Utilizing Single Photon Laser Scanning Data For Estimating Individual Tree Attributes

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences

J Simula

Markus Holopainen

Mohammad Imangholiloo

2022/5/17

Adding single tree features and correcting edge tree effects enhance the characterization of seedling stands with single-photon airborne laser scanning

ISPRS Journal of Photogrammetry and Remote Sensing

Mohammad Imangholiloo

Tuomas Yrttimaa

Teppo Mattsson

Samuli Junttila

Marjut Holopainen

...

2022/9/1

Effects of stem density on crown architecture of Scots Pine trees

Frontiers in plant science

Ninni Saarinen

Ville Kankare

Saija Huuskonen

Jari Hynynen

Simone Bianchi

...

2022/3/9

Assessing structural complexity of individual Scots pine trees by comparing terrestrial laser scanning and photogrammetric point clouds

Forests

Noora Tienaho

Tuomas Yrttimaa

Ville Kankare

Mikko Vastaranta

Ville Luoma

...

2022/8/16

Multispectral imagery provides benefits for mapping spruce tree decline due to bark beetle infestation when acquired late in the season

Remote Sensing

Samuli Junttila

Roope Näsi

Niko Koivumäki

Mohammad Imangholiloo

Ninni Saarinen

...

2022/2/14

See List of Professors in Markus Holopainen University(Helsingin yliopisto)