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Petteri Packalen

Research Professor

Natural Resources Institute Finland

Finland

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Research Interests

Ecology

70%

Physical Geography

30%

Vegetation Dynamics

60%

Remote Sensing

60%

Forestry

60%

Land Cover

50%

Aerial Surveying

50%

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Articles17

Estimation of boreal forest biomass from ICESat-2 data using hierarchical hybrid inference

Article Link

Year:

2024

Mapping large European aspen (Populus tremula L.) in Finland using airborne lidar and image data

Article Link

Year:

2024

The relationship between forest structure and naturalness in the Finnish national forest inventory

Article Link

Year:

2024

Estimating the timber value of a forest property using geographically balanced samples and unoccupied aerial vehicle data

Article Link

Year:

2024

Combination of Lidar Intensity and Texture Features Enable Accurate Prediction of Common Boreal Tree Species With Single Sensor UAS Data

Article Link

Year:

2024

Individual tree inventory based on uncrewed aerial vehicle data: how to utilise stand-wise field measurements of diameter for calibration?

Article Link

Year:

2024

Kaukokartoitus ja metsäkoneiden sensorit metsien monimuotoisuusindikaattorien seurannassa

Article Link

Year:

2024

Evaluation of a forest radiative transfer model using an extensive boreal forest inventory database

Article Link

Year:

2023

Recreating structurally realistic tree maps with airborne laser scanning and ground measurements

Article Link

Year:

2023

Can models for forest attributes based on airborne laser scanning be generalized for different silvicultural management systems?

Article Link

Year:

2023

Leveraging remotely sensed non-wall-to-wall data for wall-to-wall upscaling in forest inventory

Article Link

Year:

2023

Mitigating the risk of wind damage at the forest landscape level by using stand neighbourhood and terrain elevation information in forest planning

Article Link

Year:

2023

A Comparison of Linear-Mode and Single-Photon Airborne LiDAR in Species-Specific Forest Inventories

Article Link

Year:

2022

Horvitz‐Thompson–like estimation with distance‐based detection probabilities for circular plot sampling of forests

Article Link

Year:

2021

Comparison of linear regression, k-nearest neighbour and random forest methods in airborne laser-scanning-based prediction of growing stock

Article Link

Year:

2021

Determining maximum entropy in 3D remote sensing height distributions and using it to improve aboveground biomass modelling via stratification

Article Link

Year:

2021

Economic losses in carbon forestry due to errors in inventory data

Article Link

Year:

2021

Collaborators9

Syed Adnan

University of Eastern Finland

FINLAND

Paula Soares

Instituto Superior de Agronomia

PORTUGAL

Matti Koivula

Research professor, forest entomology

Natural Resources Institute Finland

FINLAND

Margarida Tomé

Professor

Universidade de Lisboa Instituto Superior de Agronomia

PORTUGAL

Erik Næsset

Professor

Norwegian University of Life Sciences

NORWAY

Matti Maltamo

University of Eastern Finland

FINLAND

Annika Kangas

professor

Natural Resources Institute Finland

FINLAND

Lauri Mehtätalo

Research Professor

Natural Resources Institute Finland

FINLAND

Miina Rautiainen

Professor

Aalto University

FINLAND

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Petteri Packalen

Research Professor

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Research Interests

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Articles17

Estimation of boreal forest biomass from ICESat-2 data using hierarchical hybrid inference

Mapping large European aspen (Populus tremula L.) in Finland using airborne lidar and image data

The relationship between forest structure and naturalness in the Finnish national forest inventory

Estimating the timber value of a forest property using geographically balanced samples and unoccupied aerial vehicle data

Combination of Lidar Intensity and Texture Features Enable Accurate Prediction of Common Boreal Tree Species With Single Sensor UAS Data

Individual tree inventory based on uncrewed aerial vehicle data: how to utilise stand-wise field measurements of diameter for calibration?

Kaukokartoitus ja metsäkoneiden sensorit metsien monimuotoisuus­indikaattorien seurannassa

Evaluation of a forest radiative transfer model using an extensive boreal forest inventory database

Recreating structurally realistic tree maps with airborne laser scanning and ground measurements

Can models for forest attributes based on airborne laser scanning be generalized for different silvicultural management systems?

Leveraging remotely sensed non-wall-to-wall data for wall-to-wall upscaling in forest inventory

Mitigating the risk of wind damage at the forest landscape level by using stand neighbourhood and terrain elevation information in forest planning

A Comparison of Linear-Mode and Single-Photon Airborne LiDAR in Species-Specific Forest Inventories

Horvitz‐Thompson–like estimation with distance‐based detection probabilities for circular plot sampling of forests

Comparison of linear regression, k-nearest neighbour and random forest methods in airborne laser-scanning-based prediction of growing stock

Determining maximum entropy in 3D remote sensing height distributions and using it to improve aboveground biomass modelling via stratification

Economic losses in carbon forestry due to errors in inventory data

Collaborators9

Syed Adnan

Paula Soares

Matti Koivula

Margarida Tomé

Erik Næsset

Matti Maltamo

Annika Kangas

Lauri Mehtätalo

Miina Rautiainen

How do I reach out?

Kaukokartoitus ja metsäkoneiden sensorit metsien monimuotoisuusindikaattorien seurannassa