Search Results - "Viljanen, Niko"

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  1. 1

    Individual Tree Detection and Classification with UAV-Based Photogrammetric Point Clouds and Hyperspectral Imaging by Nevalainen, Olli, Honkavaara, Eija, Tuominen, Sakari, Viljanen, Niko, Hakala, Teemu, Yu, Xiaowei, Hyyppä, Juha, Saari, Heikki, Pölönen, Ilkka, Imai, Nilton, Tommaselli, Antonio

    Published in Remote sensing (Basel, Switzerland) (01-03-2017)
    “…Small unmanned aerial vehicle (UAV) based remote sensing is a rapidly evolving technology. Novel sensors and methods are entering the market, offering…”
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    Journal Article
  2. 2

    Estimating Biomass and Nitrogen Amount of Barley and Grass Using UAV and Aircraft Based Spectral and Photogrammetric 3D Features by Näsi, Roope, Viljanen, Niko, Kaivosoja, Jere, Alhonoja, Katja, Hakala, Teemu, Markelin, Lauri, Honkavaara, Eija

    Published in Remote sensing (Basel, Switzerland) (01-07-2018)
    “…The timely estimation of crop biomass and nitrogen content is a crucial step in various tasks in precision agriculture, for example in fertilization…”
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    Journal Article
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    Using UAV-Based Photogrammetry and Hyperspectral Imaging for Mapping Bark Beetle Damage at Tree-Level by Näsi, Roope, Honkavaara, Eija, Lyytikäinen-Saarenmaa, Päivi, Blomqvist, Minna, Litkey, Paula, Hakala, Teemu, Viljanen, Niko, Kantola, Tuula, Tanhuanpää, Topi, Holopainen, Markus

    Published in Remote sensing (Basel, Switzerland) (01-11-2015)
    “…Low-cost, miniaturized hyperspectral imaging technology is becoming available for small unmanned aerial vehicle (UAV) platforms. This technology can be…”
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    Journal Article
  5. 5

    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 by Viljanen, Niko, Honkavaara, Eija, Näsi, Roope, Hakala, Teemu, Niemeläinen, Oiva, Kaivosoja, Jere

    Published in Agriculture (Basel) (17-05-2018)
    “…Silage is the main feed in milk and ruminant meat production in Northern Europe. Novel drone-based remote sensing technology could be utilized in many phases…”
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    Journal Article
  6. 6

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

    Published in Sensors (Basel, Switzerland) (03-05-2018)
    “…Drone-based remote sensing has evolved rapidly in recent years. Miniaturized hyperspectral imaging sensors are becoming more common as they provide more…”
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    Journal Article
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    A Novel Tilt Correction Technique for Irradiance Sensors and Spectrometers On-Board Unmanned Aerial Vehicles by Suomalainen, Juha, Hakala, Teemu, Alves de Oliveira, Raquel, Markelin, Lauri, Viljanen, Niko, Näsi, Roope, Honkavaara, Eija

    Published in Remote sensing (Basel, Switzerland) (01-12-2018)
    “…In unstable atmospheric conditions, using on-board irradiance sensors is one of the only robust methods to convert unmanned aerial vehicle (UAV)-based optical…”
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    Journal Article
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    Remote sensing of bark beetle damage in urban forests at individual tree level using a novel hyperspectral camera from UAV and aircraft by Näsi, Roope, Honkavaara, Eija, Blomqvist, Minna, Lyytikäinen-Saarenmaa, Päivi, Hakala, Teemu, Viljanen, Niko, Kantola, Tuula, Holopainen, Markus

    Published in Urban forestry & urban greening (01-03-2018)
    “…•A remote sensing approach was developed for identifying bark beetle infestation.•A low-cost hyperspectral camera was operated from UAV and aircraft…”
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    Journal Article
  12. 12

    Assessing the effects of thinning on stem growth allocation of individual Scots pine trees by Saarinen, Ninni, Kankare, Ville, Yrttimaa, Tuomas, Viljanen, Niko, Honkavaara, Eija, Holopainen, Markus, Hyyppä, Juha, Huuskonen, Saija, Hynynen, Jari, Vastaranta, Mikko

    Published in Forest ecology and management (15-10-2020)
    “…•Thinning intensity and type affected stem shape and size of Scots pine trees.•Tree stem reconstructions from 3D information of TLS and UAV.•Novel attributes…”
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    Journal Article
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    Hyperspectral UAV-imagery and photogrammetric canopy height model in estimating forest stand variables by Tuominen, Sakari, Balazs, Andras, Honkavaara, Eija, Pölönen, Ilkka, Saari, Heikki, Hakala, Teemu, Viljanen, Niko

    “…Remote sensing using unmanned aerial vehicle (UAV) -borne sensors is currently a highly interesting approach for the estimation of forest characteristics. 3D…”
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    Journal Article
  15. 15

    Tree Species Identification Using 3D Spectral Data and 3D Convolutional Neural Network by Polonen, Ilkka, Annala, Leevi, Rahkonen, Samuli, Nevalainen, Olli, Honkavaara, Eija, Tuominen, Sakari, Viljanen, Niko, Hakala, Teemu

    “…In this study we apply 3D convolutional neural network (CNN) for tree species identification. Study includes the three most common Finnish tree species. Study…”
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    Conference Proceeding
  16. 16

    On the Estimation of the Leaf Angle Distribution from Drone Based Photogrammetry by Xu, Shan, Zaidan, Martha A., Honkavaara, Eija, Hakala, Teemu, Viljanen, Niko, Porcar-Castell, Albert, Liu, Zhigang, Atherton, Jon

    “…Leaf angle distribution (LAD) is a key canopy structural parameter, playing an important role in light transfer. LAD can be estimated from fixed point of view…”
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    Conference Proceeding