Eija Honkavaara

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Bendraautoriai

Teemu HakalaResearch Scientist, Finnish Geospatial Research InstitutePatvirtintas el. paštas nls.fi
Roope NäsiResearch Scientist, Finnish Geospatial Research Institute (National Land Survey of Finland)Patvirtintas el. paštas nls.fi
Lauri MarkelinSenior Research Scientist, Finnish Geospatial Research Institute - FGI NLSPatvirtintas el. paštas nls.fi
Juha HyyppäFinnish Geospatial Research InstitutePatvirtintas el. paštas nls.fi
Antonio Maria Garcia TommaselliFotogrametria, Universidade Estadual PaulistaPatvirtintas el. paštas unesp.br
Ilkka PölönenAssociate Professor (Computational Data Analysis), Faculty of Information TechnologyPatvirtintas el. paštas jyu.fi
Markus HolopainenProfessor of Geoinformatics, University of Helsinki, Department of Forest SciencesPatvirtintas el. paštas helsinki.fi
Raquel Alves de OliveiraFinnish Geospatial Research Institute, FGIPatvirtintas el. paštas nls.fi
Jere KaivosojaPatvirtintas el. paštas luke.fi
Harri KaartinenResearch Professor, Finnish Geospatial Research InstitutePatvirtintas el. paštas nls.fi
Nilton Nobuhiro ImaiUNESP - Sao Paulo State UniversityPatvirtintas el. paštas unesp.br
Juha SuomalainenFinnish Geospatial Research Institute (@ National Land Survey of Finland)Patvirtintas el. paštas nls.fi
Mikko VastarantaProfessor, School of Forest Sciences, University of Eastern FinlandPatvirtintas el. paštas uef.fi
Paula LitkeyFinnish Geospatial Research Institute FGIPatvirtintas el. paštas nls.fi
Antero KukkoResearch Professor, Finnish Geospatial Reserch InstitutePatvirtintas el. paštas nls.fi
Xiaowei YuFinnish Geospatial Research InstitutePatvirtintas el. paštas nls.fi
Niko KoivumäkiDoctoral candidatePatvirtintas el. paštas nls.fi
Ninni SaarinenPhD, School of Forest Sciences, University of Eastern FinlandPatvirtintas el. paštas uef.fi
Päivi Lyytikäinen-SaarenmaaSenior scientist, University of Eastern Finland, School of Forest SciencesPatvirtintas el. paštas uef.fi
Olli NevalainenResearcher, Finnish Meteorological InstitutePatvirtintas el. paštas fmi.fi

Stebėti

Eija Honkavaara

Research Professor, Finnish Geospatial Research Institute, FGI, UNITE Flagship

Patvirtintas el. paštas nls.fi - Pagrindinis puslapis

Photogrammetry Remote Sensing Hyperspectral imaging Drones Machine learning


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
Quantitative remote sensing at ultra-high resolution with UAV spectroscopy: a review of sensor technology, measurement procedures, and data correction workflows H Aasen, E Honkavaara, A Lucieer, PJ Zarco-Tejada Remote Sensing 10 (7), 1091, 2018	601	2018
Processing and assessment of spectrometric, stereoscopic imagery collected using a lightweight UAV spectral camera for precision agriculture E Honkavaara, H Saari, J Kaivosoja, I Pölönen, T Hakala, P Litkey, ... Remote sensing 5 (10), 5006-5039, 2013	589	2013
Individual tree detection and classification with UAV-based photogrammetric point clouds and hyperspectral imaging O Nevalainen, E Honkavaara, S Tuominen, N Viljanen, T Hakala, X Yu, ... Remote sensing 9 (3), 185, 2017	499	2017
Using UAV-based photogrammetry and hyperspectral imaging for mapping bark beetle damage at tree-level R Näsi, E Honkavaara, P Lyytikäinen-Saarenmaa, M Blomqvist, P Litkey, ... Remote Sensing 7 (11), 15467-15493, 2015	443	2015
Point cloud generation from aerial image data acquired by a quadrocopter type micro unmanned aerial vehicle and a digital still camera T Rosnell, E Honkavaara Sensors 12 (1), 453-480, 2012	379	2012
UAV in the advent of the twenties: Where we stand and what is next F Nex, C Armenakis, M Cramer, DA Cucci, M Gerke, E Honkavaara, ... ISPRS journal of photogrammetry and remote sensing 184, 215-242, 2022	235	2022
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 N Viljanen, E Honkavaara, R Näsi, T Hakala, O Niemeläinen, J Kaivosoja Agriculture 8 (5), 70, 2018	224	2018
Remote sensing of bark beetle damage in urban forests at individual tree level using a novel hyperspectral camera from UAV and aircraft R Näsi, E Honkavaara, M Blomqvist, P Lyytikäinen-Saarenmaa, T Hakala, ... Urban Forestry & Urban Greening 30, 72-83, 2018	222	2018
Comparison of the selected state-of-the-art 3D indoor scanning and point cloud generation methods VV Lehtola, H Kaartinen, A Nüchter, R Kaijaluoto, A Kukko, P Litkey, ... Remote sensing 9 (8), 796, 2017	210	2017
Estimating biomass and nitrogen amount of barley and grass using UAV and aircraft based spectral and photogrammetric 3D features R Näsi, N Viljanen, J Kaivosoja, K Alhonoja, T Hakala, L Markelin, ... Remote Sensing 10 (7), 1082, 2018	178	2018
Tree species classification of drone hyperspectral and RGB imagery with deep learning convolutional neural networks S Nezami, E Khoramshahi, O Nevalainen, I Pölönen, E Honkavaara Remote Sensing 12 (7), 1070, 2020	176	2020
Performance of dense digital surface models based on image matching in the estimation of plot-level forest variables K Nurminen, M Karjalainen, X Yu, J Hyyppä, E Honkavaara ISPRS Journal of photogrammetry and Remote Sensing 83, 104-115, 2013	168	2013
Comparison of laser and stereo optical, SAR and InSAR point clouds from air-and space-borne sources in the retrieval of forest inventory attributes X Yu, J Hyyppä, M Karjalainen, K Nurminen, K Karila, M Vastaranta, ... Remote Sensing 7 (12), 15933-15954, 2015	155	2015
Forest in situ observations using unmanned aerial vehicle as an alternative of terrestrial measurements X Liang, Y Wang, J Pyörälä, M Lehtomäki, X Yu, H Kaartinen, A Kukko, ... Forest ecosystems 6 (1), 1-16, 2019	146	2019
Factors affecting the quality of DTM generation in forested areas H Hyyppä, X Yu, J Hyyppä, H Kaartinen, S Kaasalainen, E Honkavaara, ... International Archives of Photogrammetry, Remote Sensing and Spatial …, 2005	146	2005
Digital airborne photogrammetry—A new tool for quantitative remote sensing?—A state-of-the-art review on radiometric aspects of digital photogrammetric images E Honkavaara, R Arbiol, L Markelin, L Martinez, M Cramer, S Bovet, ... Remote Sensing 1 (3), 577-605, 2009	138	2009
The use of a hand-held camera for individual tree 3D mapping in forest sample plots X Liang, A Jaakkola, Y Wang, J Hyyppä, E Honkavaara, J Liu, ... Remote Sensing 6 (7), 6587-6603, 2014	136	2014
Forest data collection using terrestrial image-based point clouds from a handheld camera compared to terrestrial and personal laser scanning X Liang, Y Wang, A Jaakkola, A Kukko, H Kaartinen, J Hyyppä, ... IEEE transactions on geoscience and remote sensing 53 (9), 5117-5132, 2015	126	2015
Hyperspectral reflectance signatures and point clouds for precision agriculture by light weight UAV imaging system E Honkavaara, J Kaivosoja, J Mäkynen, I Pellikka, L Pesonen, H Saari, ... ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2012	112	2012
Integration of laser scanning and photogrammetry P Rönnholm, E Honkavaara, P Litkey, H Hyyppä, J Hyyppä International Archives of Photogrammetry, Remote Sensing and Spatial …, 2007	109	2007

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