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)

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)

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)

Assessing Biodiversity in Boreal Forests with UAV-Based Photogrammetric Point Clouds and Hyperspectral Imaging. - Ninni Saarinen; Mikko Vastaranta; Roope Näsi; Tomi Rosnell; Teemu Hakala; Eija Honkavaara; Michael A. Wulder; Ville Luoma; Antonio M. G. Tommaselli; Nilton Nobuhiro Imai; Eduardo A. W. Ribeiro; Raul B. Guimarães; et al. (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)

Reference Measurements in Developing UAV Systems for Detecting Pests, Weeds, and Diseases. - Jere Kaivosoja; Juho Hautsalo; Jaakko Heikkinen; Lea Hiltunen; Pentti Ruuttunen; Roope Näsi; Oiva Niemeläinen; Madis Lemsalu; Eija Honkavaara; Jukka Salonen (Remote. Sens., 2021)

Multispectral Imagery Provides Benefits for Mapping Spruce Tree Decline Due to Bark Beetle Infestation When Acquired Late in the Season. - Samuli Junttila; Roope Näsi; Niko Koivumäki; Mohammad Imangholiloo; Ninni Saarinen; Juha Raisio; Markus Holopainen; Hannu Hyyppä; Juha Hyyppä; Päivi Lyytikäinen-Saarenmaa; Mikko Vastaranta; Eija Honkavaara (Remote. Sens., 2022)

Estimating Grass Sward Quality and Quantity Parameters Using Drone Remote Sensing with Deep Neural Networks. - Kirsi Karila; Raquel Alves de Oliveira; Johannes Ek; Jere Kaivosoja; Niko Koivumäki; Panu Korhonen; Oiva Niemeläinen; Laura Nyholm; Roope Näsi; Ilkka Pölönen; Eija Honkavaara (Remote. Sens., 2022)

Estimating Tree Health Decline Caused by Ips typographus L. from UAS RGB Images Using a Deep One-Stage Object Detection Neural Network. - Heini Kanerva; Eija Honkavaara; Roope Näsi; Teemu Hakala; Samuli Junttila; Kirsi Karila; Niko Koivumäki; Raquel Alves Oliveira; Mikko Pelto-Arvo; Ilkka Pölönen; Johanna Tuviala; Madeleine Östersund; et al. (Remote. Sens., 2022)

A Novel Deep Multi-Image Object Detection Approach for Detecting Alien Barleys in Oat Fields Using RGB UAV Images. - Ehsan Khoramshahi; Roope Näsi; Stefan Rua; Raquel Alves Oliveira; Axel Päivänsalo; Oiva Niemeläinen; Markku Niskanen; Eija Honkavaara (Remote. Sens., 2023)

Comparison of Deep Neural Networks in the Classification of Bark Beetle-Induced Spruce Damage Using UAS Images. - Emma Turkulainen; Eija Honkavaara; Roope Näsi; Raquel Alves Oliveira; Teemu Hakala; Samuli Junttila; Kirsi Karila; Niko Koivumäki; Mikko Pelto-Arvo; Johanna Tuviala; Madeleine Östersund; Ilkka Pölönen; et al. (Remote. Sens., 2023)

Multispectral airborne laser scanning for tree species classification: a benchmark of machine learning and deep learning algorithms. - Josef Taher; Eric Hyyppä; Matti Hyyppä; Klaara Salolahti; Xiaowei Yu; Leena Matikainen; Antero Kukko; Matti Lehtomäki; Harri Kaartinen; Sopitta Thurachen; Paula Litkey; Ville Luoma; et al. (CoRR, 2025)