Julkaisut - Selaus asiasanan mukaan "UAV"

A Novel Deep Multi-Image Object Detection Approach for Detecting Alien Barleys in Oat Fields Using RGB UAV Images

Khoramshahi, Ehsan; Näsi, Roope; Rua, Stefan; Oliveira, Raquel A.; Päivänsalo, Axel; Niemeläinen, Oiva; Niskanen, Markku; Honkavaara, Eija
Remote Sensing : 14 (MDPI AG, 2023)

Application of UAV multispectral imaging for determining the characteristics of maize vegetation

Änäkkälä, Mikael; Lajunen, Antti; Lehtilä, Anniina; Mäkelä, Pirjo
Agronomy research : 2 (Estonian University of Life Sciences, 2023)

Assessing and mapping energy biomass distribution using a UAV in Finland

Lopatin, Evgeny; Lopatina, Anna
Biofuels : 4 (Taylor & Francis, 2017)

The increasing need to reduce greenhouse gas emissions to slow down climate change requires more effective and versatile methods for producing energy. In Finland, common reed and forest biomass are used for energy production. ...

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

Tuominen, Sakari; Näsi, Roope; Honkavaara, Eija; Balazs, Andras; Hakala, Teemu; Viljanen, Niko; Pölönen, Ilkka; Saari, Heikki; Ojanen, Harri
Remote Sensing : 5 (MDPI, 2018)

Assessment of RGB and Hyperspectral Uav Remote Sensing for Grass Quantity and Quality Estimation

de Oliveira, Raquel Alves; Näsi, Roope; Niemeläinen, Oiva; Nyholm, Laura; Alhonoja, Katja; Kaivosoja, Jere; Viljanen, Niko; Hakala, Teemu; Nezami, Somayeh; Markelin, Lauri; Jauhiainen, Lauri; Honkavaara, Eija
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (The International Society for Photogrammetry and Remote Sensing, 2019)

Autonomous hyperspectral UAS photogrammetry for environmental monitoring applications

Honkavaara, E; Hakala, T; Markelin, L; Jaakkola, A; Saari, H; Ojanen, H; Pölönen, I; Tuominen, S; Näsi, R; Rosnell, T; Viljanen, N
ISPRS Archives (2014)

Can Basic Soil Quality Indicators and Topography Explain the Spatial Variability in Agricultural Fields Observed from Drone Orthomosaics?

Näsi, Roope; Mikkola, Hannu; Honkavaara, Eija; Koivumäki, Niko; Oliveira, Raquel A.; Peltonen-Sainio, Pirjo; Keijälä, Niila-Sakari; Änäkkälä, Mikael; Arkkola, Lauri; Alakukku, Laura
Agronomy : 3 (MDPI AG, 2023)

Crop growth is often uneven within an agricultural parcel, even if it has been managed evenly. Aerial images are often used to determine the presence of vegetation and its spatial variability in field parcels. However, the ...

Different Remote Sensing Data in Relative Biomass Determination and in Precision Fertilization Task Generation for Cereal Crops

Kaivosoja, Jere; Näsi, Roope; Hakala, Teemu; Viljanen, Niko; Honkavaara, Eija
Computer Science (Springer Nature, 2019)

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

Näsi, Roope; Viljanen, Niko; Kaivosoja, Jere; Alhonoja, Katja; Hakala, Teemu; Markelin, Lauri; Honkavaara, Eija
Remote Sensing : 7 (MDPI, 2018)

Estimating the Rut Depth by UAV Photogrammetry

Nevalainen, Paavo; Salmivaara, Aura; Ala-Ilomäki, Jari; Launiainen, Samuli; Hiedanpää, Juuso; Finér, Leena; Pahikkala, Tapio; Heikkonen, Jukka
Remote Sensing : 12 (MDPI, 2017)

Future Possibilities and Challenges for UAV-Based Imaging Development in Smart Farming

Kaivosoja, Jere
New Developments and Environmental Applications of Drones (Springer International Publishing, 2021)

Individual tree detection and classification with UAV-based photogrammetric point clouds and hyperspectral imaging

Nevalainen, Olli; Honkavaara, Eija; Tuominen, Sakari; Viljanen, Niko; Hakala, Teemu; Yu, Xiaowei; Hyyppä, Juha; Saari, Heikki; Pölönen, Ilkka; Imai, Nilton N.; Tommaselli, Antonio M. G.
Remote Sensing : 3 (MDPI, 2017)

Methods for estimating forest stem volumes by tree species using digital surface model and CIR images taken from light UAS

Heikki, Salo; Ville, Tirronen; Ilkka, Pölönen; Sakari, Tuominen; Andras, Balazs; Jan, Heikkilä; Heikki, Saari
Proceedings of SPIE : 8.5.2012 (2012)

Miehittämättömät lentolaitteet metsien kaukokartoituksessa

Tuominen, Sakari; Kangas , Annika
Metsätieteen aikakauskirja : 2018-10085 (Suomen Metsätieteellinen Seura, 2018)

Processing and Assessment of Spectrometric, Stereoscopic Imagery Collected Using a Lightweight UAV Spectral Camera for Precision Agriculture

Honkavaara, Eija; Saari, Heikki; Kaivosoja, Jere; Pölönen, Ilkka; Hakala, Teemu; Litkey, Paula; Mäkynen, Jussi; Pesonen, Liisa
Remote Sensing (MDPI AG, Remote Sensing Editorial Office, 2013)

Role of spatial data uncertainty in execution of precision farming operations

Kaivosoja, Jere
Aalto University publication series (Unigrafia oy, 2019)

Silage Grass Sward Nitrogen Concentration and Dry Matter Yield Estimation Using Deep Regression and RGB Images Captured by UAV

Alves Oliveira, Raquel; Marcato Junior, José; Soares Costa, Celso; Näsi, Roope; Koivumäki, Niko; Niemeläinen, Oiva; Nyholm, Laura; Pistori, Hemerson; Honkavaara, Eija; Kaivosoja, Jere
Agronomy : 6 (MDPI AG, 2022)

UAV Applications and Agricultural Machinery

Kaivosoja, Jere
NJF Report : 6 (Nordic Association of Agricultural Scientists, 2012)

Unmanned Aerial Vehicle (UAV) operated spectral camera system for forest and agriculture applications

Saari, Heikki; Pellikka, Ismo; Pesonen, Liisa; Tuominen, Sakari; Heikkilä, Jan; Holmlund, Christer; Mäkynen, Jussi; Ojala, Kai; Antila, Tapani
Proceedings of SPIE (SPIE, 2011)

Julkaisut - Selaus asiasanan mukaan "UAV"

A Novel Deep Multi-Image Object Detection Approach for Detecting Alien Barleys in Oat Fields Using RGB UAV Images ﻿

Application of UAV multispectral imaging for determining the characteristics of maize vegetation ﻿

Assessing and mapping energy biomass distribution using a UAV in Finland ﻿

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 ﻿

Assessment of RGB and Hyperspectral Uav Remote Sensing for Grass Quantity and Quality Estimation ﻿

Autonomous hyperspectral UAS photogrammetry for environmental monitoring applications ﻿

Can Basic Soil Quality Indicators and Topography Explain the Spatial Variability in Agricultural Fields Observed from Drone Orthomosaics? ﻿

Different Remote Sensing Data in Relative Biomass Determination and in Precision Fertilization Task Generation for Cereal Crops ﻿

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

Estimating the Rut Depth by UAV Photogrammetry ﻿

Future Possibilities and Challenges for UAV-Based Imaging Development in Smart Farming ﻿

Individual tree detection and classification with UAV-based photogrammetric point clouds and hyperspectral imaging ﻿

Methods for estimating forest stem volumes by tree species using digital surface model and CIR images taken from light UAS ﻿

Miehittämättömät lentolaitteet metsien kaukokartoituksessa ﻿

Processing and Assessment of Spectrometric, Stereoscopic Imagery Collected Using a Lightweight UAV Spectral Camera for Precision Agriculture ﻿

Role of spatial data uncertainty in execution of precision farming operations ﻿

Silage Grass Sward Nitrogen Concentration and Dry Matter Yield Estimation Using Deep Regression and RGB Images Captured by UAV ﻿

UAV Applications and Agricultural Machinery ﻿

Unmanned Aerial Vehicle (UAV) operated spectral camera system for forest and agriculture applications ﻿