Niko Viljanen

Orcid: 0000-0002-6307-1637

According to our database1, Niko Viljanen authored at least 14 papers between 2015 and 2020.

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Bibliography

2020
Detailed point cloud data on stem size and shape of Scots pine trees.
Dataset, March, 2020

Multisensorial Close-Range Sensing Generates Benefits for Characterization of Managed Scots Pine (Pinus sylvestris L.) Stands.
ISPRS Int. J. Geo Inf., 2020

On the Estimation of the Leaf Angle Distribution from Drone Based Photogrammetry.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019
Accurate Calibration Scheme for a Multi-Camera Mobile Mapping System.
Remote. Sens., 2019

2018
Direct Reflectance Measurements from Drones: Sensor Absolute Radiometric Calibration and System Tests for Forest Reflectance Characterization.
Sensors, 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.
Remote. Sens., 2018

A Novel Tilt Correction Technique for Irradiance Sensors and Spectrometers On-Board Unmanned Aerial Vehicles.
Remote. Sens., 2018

Estimating Biomass and Nitrogen Amount of Barley and Grass Using UAV and Aircraft Based Spectral and Photogrammetric 3D Features.
Remote. Sens., 2018

Tree Species Identification Using 3D Spectral Data and 3D Convolutional Neural Network.
Proceedings of the 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2018

2017
Individual Tree Detection and Classification with UAV-Based Photogrammetric Point Clouds and Hyperspectral Imaging.
Remote. Sens., 2017

Different Remote Sensing Data in Relative Biomass Determination and in Precision Fertilization Task Generation for Cereal Crops.
Proceedings of the Information and Communication Technologies in Modern Agricultural Development, 2017

Applying Different Remote Sensing Data to Determine Relative Biomass Estimations of Cereals for Precision Fertilization Task Generation.
Proceedings of the 8th International Conference on Information and Communication Technologies in Agriculture, 2017

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).
IEEE Trans. Geosci. Remote. Sens., 2016

2015
Using UAV-Based Photogrammetry and Hyperspectral Imaging for Mapping Bark Beetle Damage at Tree-Level.
Remote. Sens., 2015


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