Topi Tanhuanpää

Topi Tanhuanpää

Helsingin yliopisto

H-index: 17

Europe-Finland

About Topi Tanhuanpää

Topi Tanhuanpää, With an exceptional h-index of 17 and a recent h-index of 17 (since 2020), a distinguished researcher at Helsingin yliopisto, specializes in the field of Forestry, Forest inventory, Urban forests, Remote sensing, Laser scanning.

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

Luonto-ja ilmastotavoitteet metsissä-miten niihin päästään?: IBC-Carbon-hankkeen tutkimustulosten yhteenveto ja tutkimuspohjaisia suosituksia

Input data resolution affects the conservation prioritization outcome of spatially sparse biodiversity features

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

Remote sensing in mapping biodiversity–A case study of epiphytic lichen communities

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

Carbon sequestration and biodiversity impacts in forested ecosystems

Automated detection of boreal forest deadwood using RGB UAV imagery

Integrating carbon sequestration and biodiversity impacts in forested ecosystems: Concepts, cases, and policies

Topi Tanhuanpää Information

University

Position

Department of Forest Sciences

Citations(all)

1425

Citations(since 2020)

1086

Cited By

737

hIndex(all)

17

hIndex(since 2020)

17

i10Index(all)

20

i10Index(since 2020)

20

Email

University Profile Page

Helsingin yliopisto

Google Scholar

View Google Scholar Profile

Topi Tanhuanpää Skills & Research Interests

Forestry

Forest inventory

Urban forests

Remote sensing

Laser scanning

Top articles of Topi Tanhuanpää

Title

Journal

Author(s)

Publication Date

Luonto-ja ilmastotavoitteet metsissä-miten niihin päästään?: IBC-Carbon-hankkeen tutkimustulosten yhteenveto ja tutkimuspohjaisia suosituksia

Martin Forsius

Risto Heikkinen

Virpi Junttila

Johanna Kangas

Anna-Kaisa Kosenius

...

2024

Input data resolution affects the conservation prioritization outcome of spatially sparse biodiversity features

Ambio

Topi Tanhuanpää

Ninni Mikkonen

Heini Kujala

Einari Heinaro

Janne Mäyrä

...

2023/11

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

Remote sensing in mapping biodiversity–A case study of epiphytic lichen communities

Forest Ecology and Management

Ida Palmroos

Veera Norros

Sarita Keski-Saari

Janne Mäyrä

Topi Tanhuanpää

...

2023/6/15

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

Carbon sequestration and biodiversity impacts in forested ecosystems

Syed Ashraful Alam

Sonja Kivinen

Heini Kujala

Topi Tanhuanpää

Martin Forsius

2023/11

Automated detection of boreal forest deadwood using RGB UAV imagery

Timo Kumpula

Topi Tanhuanpää

Anton Kuzmin

Einari Heinaro

2023

Integrating carbon sequestration and biodiversity impacts in forested ecosystems: Concepts, cases, and policies

Ambio

Syed Ashraful Alam

Sonja Kivinen

Heini Kujala

Topi Tanhuanpää

Martin Forsius

2023/11

Developing a spatially explicit modelling and evaluation framework for integrated carbon sequestration and biodiversity conservation: Application in southern Finland

Science of the Total Environment

Martin Forsius

Heini Kujala

Francesco Minunno

Maria Holmberg

Niko Leikola

...

2021/6/25

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

Remote Sensing

Anton Kuzmin

Lauri Korhonen

Sonja Kivinen

Pekka Hurskainen

Pasi Korpelainen

...

2021/4/29

Detecting a keystone species European aspen in boreal forests with airborne hyperspectral, LiDAR and UAV data with machine learning methods

EGU General Assembly Conference Abstracts

Timo Kumpula

Janne Mäyrä

Anton Kuzmin

Arto Viinikka

Sonja Kivinen

...

2021/4

Tree species classification from airborne hyperspectral and LiDAR data using 3D convolutional neural networks

Remote Sensing of Environment

Janne Mäyrä

Sarita Keski-Saari

Sonja Kivinen

Topi Tanhuanpää

Pekka Hurskainen

...

2021/4/1

Airborne laser scanning reveals large tree trunks on forest floor

Forest Ecology and Management

Einari Heinaro

Topi Tanhuanpää

Tuomas Yrttimaa

Markus Holopainen

Mikko Vastaranta

2021/7/1

Modeling of dead wood potential based on tree stand data

Forests

Ninni Mikkonen

Niko Leikola

Panu Halme

Einari Heinaro

Ari Lahtinen

...

2020/8/20

Detecting European Aspen (Populus tremula L.) in Boreal Forests Using Airborne Hyperspectral and Airborne Laser Scanning Data

Remote Sensing

Arto Viinikka

Pekka Hurskainen

Sarita Keski-Saari

Sonja Kivinen

Topi Tanhuanpää

...

2020/8/13

A keystone species, European aspen (Populus tremula L.), in boreal forests: Ecological role, knowledge needs and mapping using remote sensing

Sonja Kivinen

Elina Koivisto

Sarita Keski-Saari

Laura Poikolainen

Topi Tanhuanpää

...

2020/4/15

Study of realistic urban boundary layer turbulence with high-resolution large-eddy simulation

Atmosphere

Mikko Auvinen

Simone Boi

Antti Hellsten

Topi Tanhuanpää

Leena Järvi

2020/2/13

Terrestrial Laser Scanning and Ground Truth Data for Characterizing Downed Dead Wood

Tuomas Yrttimaa

Ninni Saarinen

Ville Luoma

Topi Tanhuanpää

Ville Kankare

...

2020

Aspen detection in boreal forests: Capturing a key component of biodiversity with airborne hyperspectral, lidar, and UAV data using machine learning and 3D convolutional neural …

AGU Fall Meeting Abstracts

Timo Kumpula

Janne Mäyrä

Arto Viinikka

Anton Kuzmin

Sarita Keski-Saari

...

2020/12

See List of Professors in Topi Tanhuanpää University(Helsingin yliopisto)