Towards autonomous photogrammetric forest inventory using a lightweight under-canopy robotic drone

Authors: Karjalainen, Väinö, Koivumäki, Niko, Hakala, Teemu, Muhojoki, Jesse, Hyyppä, Eric, George, Anand, Suomalainen, Juha, Honkavaara, Eija

Subject Terms: Computer Science - Robotics, Computer Science - Computer Vision and Pattern Recognition

Access URL: http://arxiv.org/abs/2501.12073

Detecting Wildfires on UAVs with Real-time Segmentation Trained by Larger Teacher Models

Authors: Pesonen, Julius, Hakala, Teemu, Karjalainen, Väinö, Koivumäki, Niko, Markelin, Lauri, Raita-Hakola, Anna-Maria, Suomalainen, Juha, Pölönen, Ilkka, Honkavaara, Eija

Subject Terms: Computer Science - Computer Vision and Pattern Recognition, Computer Science - Artificial Intelligence, I.4.6

Access URL: http://arxiv.org/abs/2408.10843

Hyperspectral UAV-imagery and photogrammetric canopy height model in estimating forest stand variables

Authors: Tuominen, Sakari, Balazs, Andras, Honkavaara, Eija, Pölönen, Ilkka, Saari, Heikki, Hakala, Teemu, Viljanen, Niko

Source: Silva Fennica, Vol 51, Iss 5 (2017)

Subject Terms: Forestry, SD1-669.5

File Description: electronic resource

Relation: https://www.silvafennica.fi/article/7721; https://doaj.org/toc/2242-4075

Access URL: https://doaj.org/article/11cf487f2dcf47da9528bd9cee286ea0

On the Estimation of the Leaf Angle Distribution from Drone Based Photogrammetry

Authors: Xu, Shan, Zaidan, Martha A., Honkavaara, Eija, Hakala, Teemu, Viljanen, Niko, Porcar-Castell, Albert, Liu, Zhigang, Atherton, Jon

Source: IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium Geoscience and Remote Sensing Symposium, IGARSS 2020 - 2020 IEEE International. :4379-4382 Sep, 2020

Relation: IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium

Using a Semi-autonomous Drone Swarm to Support Wildfire Management — A Concept of Operations Development Study
20th International conference on engineering psychology and cognitive ergonomics, EPCE 2023

Authors: Karvonen, Hannu, Honkavaara, Eija, Röning, Juha, Kramar, Vadim, Sassi, Jukka

Source: Lecture notes in computer science. 14018:235-253

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCCN608311359&indx=1&recIds=ETOCCN608311359

Harmonization potential of the fragmented farmlands in Finland: The pros and cons for critical parcel characteristics

Authors: Peltonen-Sainio, Pirjo, Jauhiainen, Lauri, Näsi, Roope, Puttonen, Eetu, Honkavaara, Eija

Source: In Land Use Policy December 2024 147

Bark beetle pre-emergence detection using multi-temporal hyperspectral drone images: Green shoulder indices can indicate subtle tree vitality decline

Authors: Huo, Langning, Koivumäki, Niko, Oliveira, Raquel A., Hakala, Teemu, Markelin, Lauri, Näsi, Roope, Suomalainen, Juha, Polvivaara, Antti, Junttila, Samuli, Honkavaara, Eija

Source: In ISPRS Journal of Photogrammetry and Remote Sensing October 2024 216:200-216

Tree Species Identification Using 3D Spectral Data and 3D Convolutional Neural Network

Authors: Polonen, Ilkka, Annala, Leevi, Rahkonen, Samuli, Nevalainen, Olli, Honkavaara, Eija, Tuominen, Sakari, Viljanen, Niko, Hakala, Teemu

Source: 2018 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS) Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2018 9th Workshop on. :1-5 Sep, 2018

Relation: 2018 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)

Refining the Geometric Calibration of a Hiperspectral Frame Camera with Preliminary Bands Coregistration

Authors: Garcia Tommaselli, Antonio Maria, Santos, Lucas Dias, de Oliveira, Raquel Alves, Honkavaara, Eija

Source: IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium Geoscience and Remote Sensing Symposium, IGARSS 2018 - 2018 IEEE International. :6468-6471 Jul, 2018

Relation: IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium

UAV remote sensing phenotyping of wheat collection for response to water stress and yield prediction using machine learning

Authors: Sharma, Vikas, Honkavaara, Eija, Hayden, Matthew, Kant, Surya

Source: In Plant Stress June 2024 12

Reconstructing the digital twin of forests from a 3D library: Quantifying trade-offs for radiative transfer modeling

Authors: Liu, Chang, Calders, Kim, Origo, Niall, Disney, Mathias, Meunier, Félicien, Woodgate, William, Gastellu-Etchegorry, Jean-Philippe, Nightingale, Joanne, Honkavaara, Eija, Hakala, Teemu, Markelin, Lauri, Verbeeck, Hans

Source: In Remote Sensing of Environment 1 December 2023 298

Close-Range Remote Sensing of Forests: The state of the art, challenges, and opportunities for systems and data acquisitions

Authors: Liang, Xinlian, Kukko, Antero, Balenovic, Ivan, Saarinen, Ninni, Junttila, Samuli, Kankare, Ville, Holopainen, Markus, Mokros, Martin, Surovy, Peter, Kaartinen, Harri, Jurjevic, Luka, Honkavaara, Eija, Nasi, Roope, Liu, Jingbin, Hollaus, Markus, Tian, Jiaojiao, Yu, Xiaowei, Pan, Jie, Cai, Shangshu, Virtanen, Juho-Pekka, Wang, Yunsheng, Hyyppa, Juha

Source: IEEE geoscience and remote sensing magazine. 10(3):32-71

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCvdc_100164085669.0x000001&indx=1&recIds=ETOCvdc_100164085669.0x000001

What Does the NDVI Really Tell Us About Crops? Insight from Proximal Spectral Field Sensors

Authors: Atherton, Jon, Zhang, Chao, Oivukkamäki, Jaakko, Kulmala, Liisa, Xu, Shan, Hakala, Teemu, Honkavaara, Eija, MacArthur, Alasdair, Porcar-Castell, Albert

Source: Springer optimization and its applications. 182:251-266

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCRN629305808&indx=1&recIds=ETOCRN629305808

Towards scalable wide area UAS monitoring of forest disturbance using hydrogen powered airships.

Authors: Turkulainen, Emma¹, emma.turkulainen@nls.fi, Hietala, Janne², Jormakka, Jiri², Tuviala, Johanna³, de Oliveira, Raquel Alves¹, Koivumäki, Niko¹, Karila, Kirsi¹, Näsi, Roope¹, Suomalainen, Juha¹, Pelto-Arvo, Mikko³, Lyytikäinen-Saarenmaa, Päivi³, Honkavaara, Eija¹

Source: International Journal of Remote Sensing; Jan2025, Vol. 46 Issue 1, p177-204, 28p

Geometric calibration of a hyperspectral frame camera with simultaneous determination of sensors misalignment

Authors: Santos, Lucas D., Tommaselli, Antonio M.G., Berveglieri, Adilson, Imai, Nilton N., Oliveira, Raquel A., Honkavaara, Eija

Source: In ISPRS Open Journal of Photogrammetry and Remote Sensing April 2022 4

Calibration and validation of hyperspectral imagery using a permanent test field

Authors: Markelin, Lauri, Honkavaara, Eija, Takala, Tuure, Pellikka, Petri

Source: 2013 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS) Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2013 5th Workshop on. :1-4 Jun, 2013

Relation: 2013 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)

Using Aerial Platforms in Predicting Water Quality Parameters from Hyperspectral Imaging Data with Deep Neural Networks
Computation and big data for transport-digital innovations in surface and air transport systems (Conference)

Authors: Hakala, Taina, Pölönen, Ilkka, Honkavaara, Eija, Näsi, Roope, Hakala, Teemu, Lindfors, Antti

Source: Computational methods in applied sciences. 54:213-238

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCCN605992351&indx=1&recIds=ETOCCN605992351

Comparison of Deep Neural Networks in the Classification of Bark Beetle-Induced Spruce Damage Using UAS Images †.

Authors: Turkulainen, Emma¹ (AUTHOR) emma.turkulainen@nls.fi, Honkavaara, Eija¹ (AUTHOR) eija.honkavaara@nls.fi, Näsi, Roope¹ (AUTHOR) raquel.alvesdeoliveira@nls.fi, Oliveira, Raquel A.¹ (AUTHOR) teemu.hakala@nls.fi, Hakala, Teemu¹ (AUTHOR) kirsi.karila@nls.fi, Junttila, Samuli² (AUTHOR) samuli.junttila@uef.fi, Karila, Kirsi¹ (AUTHOR) niko.koivumaki@nls.fi, Koivumäki, Niko¹ (AUTHOR) madeleine.ostersund@nls.fi, Pelto-Arvo, Mikko² (AUTHOR) mikko.pelto-arvo@uef.fi, Tuviala, Johanna² (AUTHOR) johanna.tuviala@uef.fi, Östersund, Madeleine¹ (AUTHOR), Pölönen, Ilkka³ (AUTHOR) ilkka.polonen@jyu.fi, Lyytikäinen-Saarenmaa, Päivi² (AUTHOR) paivi.lyytikainen-saarenmaa@uef.fi

Source: Remote Sensing. Oct2023, Vol. 15 Issue 20, p4928. 25p.

Subject Terms: *ARTIFICIAL neural networks, *IPS typographus, *NORWAY spruce, *BARK beetles, *GLOBAL warming, *TREE mortality, *DEAD trees, BEETLE anatomy

Geographic Terms: EUROPE

Direct reflectance transformation methodology for drone-based hyperspectral imaging

Authors: Suomalainen, Juha, Oliveira, Raquel A., Hakala, Teemu, Koivumäki, Niko, Markelin, Lauri, Näsi, Roope, Honkavaara, Eija

Source: In Remote Sensing of Environment 1 December 2021 266

Analysis of trends and changes in the successional trajectories of tropical forest using the Landsat NDVI time series

Authors: Berveglieri, Adilson, Imai, Nilton N., Christovam, Luiz E., Galo, Maria L.B.T., Tommaselli, Antonio M.G., Honkavaara, Eija

Source: In Remote Sensing Applications: Society and Environment November 2021 24