Eija Honkavaara - Concepedia

Author

Eija Honkavaara

Finnish Geospatial Research Institute ORCID

Also Known As

E. Honkavaara, Eija Honkavaara, Honkavaara, Eija

251

Publications

8.1K

Citations

H-Index

154

Concepts

All Affiliations

Finnish Geospatial Research Institute University of Helsinki Natural Resources Institute Finland Universidade Estadual Paulista (Unesp)University of Jyväskylä

About

Eija Honkavaara is an author at Finnish Geospatial Research Institute specializing in engineering, remote sensing, and geography.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	41	102	6.1K
2	Natural Sciences	8	8	470
3	Education	7	7	270
4	Public Health	6	6	199
5	Health Sciences	3	3	49

Eija Honkavaara

117

Publications

7.2K

Citations

H-Index

Page 1

	Year	Citations
Processing and Assessment of Spectrometric, Stereoscopic Imagery Collected Using a Lightweight UAV Spectral Camera for Precision Agriculture Eija Honkavaara, Heikki Saari, Jere Kaivosoja, Remote Sensing Precision AgricultureEnvironmental MonitoringEngineeringLand UseMultispectral Imaging	2013	495
Individual Tree Detection and Classification with UAV-Based Photogrammetric Point Clouds and Hyperspectral Imaging Olli Nevalainen, Eija Honkavaara, Sakari Tuominen, Remote Sensing Precision AgricultureEngineeringForest BiometricsMultispectral ImagingForestry	2017	405
Using UAV-Based Photogrammetry and Hyperspectral Imaging for Mapping Bark Beetle Damage at Tree-Level Roope Näsi, Eija Honkavaara, Päivi Lyytikäinen‐Saarenmaa, Remote Sensing Environmental MonitoringEngineeringForest BiometricsEntomologyForestry	2015	372
Point Cloud Generation from Aerial Image Data Acquired by a Quadrocopter Type Micro Unmanned Aerial Vehicle and a Digital Still Camera Tomi Rosnell, Eija Honkavaara Sensors EngineeringField RoboticsImage MosaicingPoint Cloud ProcessingFlying Robot	2012	284
UAV in the advent of the twenties: Where we stand and what is next Francesco Nex, Costas Armenakis, Michael Cramer, ISPRS Journal of Photogrammetry and Remote Sensing	2022	268
Remote sensing of bark beetle damage in urban forests at individual tree level using a novel hyperspectral camera from UAV and aircraft Roope Näsi, Eija Honkavaara, Minna Blomqvist, Urban forestry & urban greening	2018	208
Comparison of the Selected State-Of-The-Art 3D Indoor Scanning and Point Cloud Generation Methods Ville Lehtola, Harri Kaartinen, Andreas Nüchter, Remote Sensing Engineering3D ModelingPoint Cloud ProcessingComputer-aided DesignPoint Cloud	2017	193
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 Niko Viljanen, Eija Honkavaara, Roope Näsi, Agriculture Precision AgricultureEnvironmental MonitoringEngineeringForest BiometricsLand Use	2018	187
Estimating Biomass and Nitrogen Amount of Barley and Grass Using UAV and Aircraft Based Spectral and Photogrammetric 3D Features Roope Näsi, Niko Viljanen, Jere Kaivosoja, Remote Sensing Precision AgricultureEnvironmental MonitoringEngineeringLand UseForestry	2018	160
Forest in situ observations using unmanned aerial vehicle as an alternative of terrestrial measurements Xinlian Liang, Yunsheng Wang, Jiri Pyörälä, Forest Ecosystems	2019	148

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