N. Viljanen

发表

Remote sensing of bark beetle damage in urban forests at individual tree level using a novel hyperspectral camera from UAV and aircraft

E. Honkavaara, M. Holopainen, P. Lyytikäinen-Saarenmaa, 2018 .

High-Spatial-Resolution Aerosol Optical Properties Retrieval Algorithm Using Chinese High-Resolution Earth

P. Atkinson, P. Litkey, M. Mõttus, 2016 .

Machine learning estimators for the quantity and quality of grass swards used for silage production using drone-based imaging spectrometry and photogrammetry

E. Honkavaara, T. Hakala, L. Markelin, 2020 .

Hyperspectral UAV-imagery and photogrammetric canopy height model in estimating forest stand variables

E. Honkavaara, T. Hakala, S. Tuominen, 2017 .

A Novel Machine Learning Method for Estimating Biomass of Grass Swards Using a Photogrammetric Canopy Height Model, Images and Vegetation Indices Captured by a Drone

Eija Honkavaara, Teemu Hakala, Jere Kaivosoja, 2018 .

This is a non-peer reviewed preprint submitted to EarthArXiv

M. Vastaranta, M. Holopainen, J. Hyyppä, 2020 .

Jukuri, open repository of the Natural Resources Institute Finland (Luke)

E. Honkavaara, P. Lyytikäinen-Saarenmaa, J. Suomalainen, 2020 .

Assessing the effects of thinning on stem growth allocation of individual Scots pine trees

E. Honkavaara, M. Vastaranta, M. Holopainen, 2020, bioRxiv.

Assessing the effects of thinning on stem growth allocation of individual Scots pine trees

E. Honkavaara, M. Vastaranta, M. Holopainen, 2020 .

Detailed point cloud data on stem size and shape of Scots pine trees

E. Honkavaara, M. Vastaranta, M. Holopainen, 2020, bioRxiv.

Multisensorial Close-Range Sensing Generates Benefits for Characterization of Managed Scots Pine (Pinus sylvestris L.) Stands

E. Honkavaara, M. Vastaranta, M. Holopainen, 2020, ISPRS Int. J. Geo Inf..

Tree Species Recognition in Species Rich Area Using Uav-Borne Hyperspectral Imagery and Stereo-Photogrammetric Point Cloud

E. Honkavaara, T. Hakala, S. Tuominen, 2017 .

ASSESSMENT OF VARIOUS REMOTE SENSING TECHNOLOGIES IN BIOMASS AND NITROGEN CONTENT ESTIMATION USING AN AGRICULTURAL TEST FIELD

E. Honkavaara, T. Hakala, L. Markelin, 2017 .

Comparison between Terrestrial Laser Scanning and Photogrammetric Point Clouds Tienaho,

E. Honkavaara, N. Viljanen, Hynynen, 2022 .

Individual Tree Detection and Classification with UAV-Based Photogrammetric Point Clouds and Hyperspectral Imaging

Juha Hyyppä, Heikki Saari, Ilkka Pölönen, 2017, Remote. Sens..

Estimating Biomass and Nitrogen Amount of Barley and Grass Using UAV and Aircraft Based Spectral and Photogrammetric 3D Features

Eija Honkavaara, Teemu Hakala, Jere Kaivosoja, 2018, Remote. Sens..

USING MULTITEMPORAL HYPER- AND MULTISPECTRAL UAV IMAGING FOR DETECTING BARK BEETLE INFESTATION ON NORWAY SPRUCE

E. Honkavaara, P. Lyytikäinen-Saarenmaa, J. Suomalainen, 2020 .

Using UAV-Based Photogrammetry and Hyperspectral Imaging for Mapping Bark Beetle Damage at Tree-Level

Eija Honkavaara, Teemu Hakala, Paula Litkey, 2015, Remote. Sens..

Direct Reflectance Measurements from Drones: Sensor Absolute Radiometric Calibration and System Tests for Forest Reflectance Characterization

Eija Honkavaara, Teemu Hakala, Olli Nevalainen, 2018, Sensors.

On the Estimation of the Leaf Angle Distribution from Drone Based Photogrammetry

M. A. Zaidan, E. Honkavaara, T. Hakala, 2020, IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium.

Assessment of Classifiers and Remote Sensing Features of Hyperspectral Imagery and Stereo-Photogrammetric Point Clouds for Recognition of Tree Species in a Forest Area of High Species Diversity

Heikki Saari, Ilkka Pölönen, Eija Honkavaara, 2018, Remote. Sens..

UAS based tree species identification using the novel FPI based hyperspectral cameras in visible, NIR and SWIR spectral ranges

E. Honkavaara, H. Saari, E. Honkavaara, 2016 .

Remote Sensing of 3-D Geometry and Surface Moisture of a Peat Production Area Using Hyperspectral Frame Cameras in Visible to Short-Wave Infrared Spectral Ranges Onboard a Small Unmanned Airborne Vehicle (UAV)

Heikki Saari, Ilkka Pölönen, Eija Honkavaara, 2016, IEEE Transactions on Geoscience and Remote Sensing.

A Novel Tilt Correction Technique for Irradiance Sensors and Spectrometers On-Board Unmanned Aerial Vehicles

Eija Honkavaara, Teemu Hakala, Roope Näsi, 2018, Remote. Sens..

METHODOLOGY FOR DIRECT REFLECTANCE MEASUREMENT FROM A DRONE: SYSTEM DESCRIPTION, RADIOMETRIC CALIBRATION AND LATEST RESULTS

Eija Honkavaara, Teemu Hakala, Nigel P. Fox, 2018, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.

Autonomous hyperspectral UAS photogrammetry for environmental monitoring applications

Heikki Saari, Ilkka Pölönen, Eija Honkavaara, 2014 .

Tree Species Identification Using 3D Spectral Data and 3D Convolutional Neural Network

Ilkka Pölönen, Eija Honkavaara, Olli Nevalainen, 2018, 2018 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).

REAL-TIME AND POST-PROCESSED GEOREFERENCING FOR HYPERPSPECTRAL DRONE REMOTE SENSING

Eija Honkavaara, Niko Viljanen, Juha Suomalainen, 2018, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.

Accurate Calibration Scheme for a Multi-Camera Mobile Mapping System

Eija Honkavaara, Harri Kaartinen, Antero Kukko, 2019, Remote. Sens..