Using UAV-Based Photogrammetry and Hyperspectral Imaging for Mapping Bark Beetle Damage at Tree-Level. - Roope Näsi; Eija Honkavaara; Päivi Lyytikäinen-Saarenmaa; Minna Blomqvist; Paula Litkey; Teemu Hakala; Niko Viljanen; Tuula Kantola; Topi Tanhuanpää; Markus Holopainen (Remote. Sens., 2015)

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). - Eija Honkavaara; Matti A. Eskelinen; Ilkka Pölönen; Heikki Saari; Harri Ojanen; Rami Mannila; Christer Holmlund; Teemu Hakala; Paula Litkey; Tomi Rosnell; Niko Viljanen; Merja Pulkkanen (IEEE Trans. Geosci. Remote. Sens., 2016)

Applying Different Remote Sensing Data to Determine Relative Biomass Estimations of Cereals for Precision Fertilization Task Generation. - Jere Kaivosoja; Roope Näsi; Teemu Hakala; Niko Viljanen; Eija Honkavaara (HAICTA, 2017)

Different Remote Sensing Data in Relative Biomass Determination and in Precision Fertilization Task Generation for Cereal Crops. - Jere Kaivosoja; Roope Näsi; Teemu Hakala; Niko Viljanen; Eija Honkavaara (HAICTA (Revised Selected Papers), 2017)

Individual Tree Detection and Classification with UAV-Based Photogrammetric Point Clouds and Hyperspectral Imaging. - Olli Nevalainen; Eija Honkavaara; Sakari Tuominen; Niko Viljanen; Teemu Hakala; Xiaowei Yu; Juha Hyyppä; Heikki Saari; Ilkka Pölönen; Nilton Nobuhiro Imai; Antonio M. G. Tommaselli (Remote. Sens., 2017)

Tree Species Identification Using 3D Spectral Data and 3D Convolutional Neural Network. - Ilkka Pölönen; Leevi Annala; Samuli Rahkonen; Olli Nevalainen; Eija Honkavaara; Sakari Tuominen; Niko Viljanen; Teemu Hakala (WHISPERS, 2018)

Estimating Biomass and Nitrogen Amount of Barley and Grass Using UAV and Aircraft Based Spectral and Photogrammetric 3D Features. - Roope Näsi; Niko Viljanen; Jere Kaivosoja; Katja Alhonoja; Teemu Hakala; Lauri Markelin; Eija Honkavaara (Remote. Sens., 2018)

A Novel Tilt Correction Technique for Irradiance Sensors and Spectrometers On-Board Unmanned Aerial Vehicles. - Juha Suomalainen; Teemu Hakala; Raquel Alves de Oliveira; Lauri Markelin; Niko Viljanen; Roope Näsi; Eija Honkavaara (Remote. Sens., 2018)

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. - Sakari Tuominen; Roope Näsi; Eija Honkavaara; Andras Balazs; Teemu Hakala; Niko Viljanen; Ilkka Pölönen; Heikki Saari; Harri Ojanen (Remote. Sens., 2018)

Direct Reflectance Measurements from Drones: Sensor Absolute Radiometric Calibration and System Tests for Forest Reflectance Characterization. - Teemu Hakala; Lauri Markelin; Eija Honkavaara; Barry Scott; Theo Theocharous; Olli Nevalainen; Roope Näsi; Juha Suomalainen; Niko Viljanen; Claire Greenwell; Nigel Fox (Sensors, 2018)

Accurate Calibration Scheme for a Multi-Camera Mobile Mapping System. - Ehsan Khoramshahi; Mariana Batista Campos; Antonio Maria Garcia Tommaselli; Niko Viljanen; Teemu Mielonen; Harri Kaartinen; Antero Kukko; Eija Honkavaara (Remote. Sens., 2019)

On the Estimation of the Leaf Angle Distribution from Drone Based Photogrammetry. - Shan Xu 003; Martha Arbayani Zaidan; Eija Honkavaara; Teemu Hakala; Niko Viljanen; Albert Porcar-Castell; Zhigang Liu 012; Jon Atherton (IGARSS, 2020)

Multisensorial Close-Range Sensing Generates Benefits for Characterization of Managed Scots Pine (Pinus sylvestris L.) Stands. - Tuomas Yrttimaa; Ninni Saarinen; Ville Kankare; Niko Viljanen; Jari Hynynen; Saija Huuskonen; Markus Holopainen; Juha Hyyppä; Eija Honkavaara; Mikko Vastaranta (ISPRS Int. J. Geo Inf., 2020)

Detailed point cloud data on stem size and shape of Scots pine trees. - Ninni Saarinen; Ville Kankare; Tuomas Yrttimaa; Niko Viljanen; Eija Honkavaara; Markus Holopainen; Juha Hyyppä; Saija Huuskonen; Jari Hynynen; Mikko Vastaranta (Zenodo, 2020)