E. Honkavaara

发表

Automation Aspects for the Georeferencing of Photogrammetric Aerial Image Archives in Forested Scenes

Eija Honkavaara, Paula Litkey, Markus Holopainen, 2015, Remote. Sens..

IN-FLIGHT PERFORMANCE EVALUATION OF DIGITAL PHOTOGRAMMETRIC SENSORS

E. Honkavaara, H. Kaartinen, E. Ahokas, 2005 .

A Permanent Test Field for Digital Photogrammetric Systems

K. Nurminen, E. Honkavaara, J. Hyyppä, 2008 .

Bidirectional reflectance spectrometry of gravel at the Sjökulla test field

E. Honkavaara, J. Suomalainen, J. Peltoniemi, 2007 .

GPS SUPPORTED AERIAL TRIANGULATION USING UNTARGETED GROUND CONTROL

E. Honkavaara, J. Jaakkola, M. Bilker, 2007 .

Remote sensing of bark beetle damage in urban forests at individual tree level using a novel hyperspectral camera from UAV and aircraft

E. Honkavaara, M. Holopainen, P. Lyytikäinen-Saarenmaa, 2018 .

Successional stages and their evolution in tropical forests using multi-temporal photogrammetric surface models and superpixels

Eija Honkavaara, Nilton Nobuhiro Imai, Antonio Maria Garcia Tommaselli, 2018, ISPRS Journal of Photogrammetry and Remote Sensing.

FOREST INVENTORY ATTRIBUTE ESTIMATION USING AIRBORNE LASER SCANNING, AERIAL STEREO IMAGERY, RADARGRAMMETRY AND INTERFEROMETRY–FINNISH EXPERIENCES OF THE 3D TECHNIQUES

Juha Hyyppä, Eija Honkavaara, Sanna Kaasalainen, 2015 .

INTEGRATION OF LASER SCANNING AND PHOTOGRAMMETRY

P. Litkey, E. Honkavaara, J. Hyyppä, 2007 .

Quality of Laser Scanning

E. Honkavaara, J. Hyyppä, H. Hyyppä, 2005 .

Photogrammetric measurement of tree stems from vertical fisheye images

Eija Honkavaara, Xinlian Liang, Antonio Maria Garcia Tommaselli, 2017 .

WebGL Visualisation of 3D Environmental Models Based on Finnish Open Geospatial Data Sets

E. Honkavaara, M. Karjalainen, L. Lehto, 2014 .

Image restoration for resolution improvement of digital aerial images : A comparison of large format digital cameras

Eija Honkavaara, Norbert Haala, Susanne Becker, 2006 .

List of publications of the author

E. Honkavaara, V. Tirronen, S. Tuominen, 2013 .

ON GEOMETRIC PROCESSING OF MULTI-TEMPORAL IMAGE DATA COLLECTED BY LIGHT UAV SYSTEMS

K. Nurminen, E. Honkavaara, T. Rosnell, 2012 .

Influence of solar elevation in radiometric and geometric performance of multispectral photogrammetry

K. Nurminen, E. Honkavaara, L. Markelin, 2012 .

Machine learning estimators for the quantity and quality of grass swards used for silage production using drone-based imaging spectrometry and photogrammetry

E. Honkavaara, T. Hakala, L. Markelin, 2020 .

Forest stand age classification using time series of photogrammetrically derived digital surface models

Joanne C. White, Mikko T. Niemi, K. Nurminen, 2016 .

METROLOGY OF IMAGE PROCESSING IN SPECTRAL REFLECTANCE MEASUREMENT BY UAV

E. Honkavaara, T. Hakala, L. Markelin, 2014 .

Geometric processing workflow for vertical and oblique hyperspectral frame images collected using UAV

K. Nurminen, E. Honkavaara, T. Hakala, 2014 .

NEW LIGHT-WEIGHT STEREOSOPIC SPECTROMETRIC AIRBORNE IMAGING TECHNOLOGY FOR HIGH-RESOLUTION ENVIRONMENTAL REMOTE SENSING – CASE STUDIES IN WATER QUALITY MAPPING

K. Nurminen, E. Honkavaara, T. Hakala, 2013 .

Evaluation of resolving power and MTF of DMC

E. Honkavaara, L. Markelin, J. Jaakkola, 2006 .

Orientation and calibration requirements for hyperpectral imaging using UAVS: A case study

E. Honkavaara, A. Berveglieri, A. Tommaselli, 2016 .

Geometric Calibration of a Hyperspectral Frame Camera

E. Honkavaara, A. Tommaselli, R. Oliveira, 2016 .

SPECTRAL IMAGING FROM UAVS UNDER VARYING ILLUMINATION CONDITIONS

E. Honkavaara, T. Hakala, H. Saari, 2013 .

Targets, methods, and sites for assessing the in-flight spatial resolution of electro-optical data products

E. Honkavaara, M. Cramer, D. Helder, 2010 .

Radiometric stability assessment of an airborne photogrammetric sensor in a test field

E. Honkavaara, J. Suomalainen, T. Hakala, 2010 .

Radiometric Calibration and Characterization of Large-format Digital Photogrammetric Sensors in a Test Field

E. Honkavaara, J. Hyyppä, E. Ahokas, 2008 .

Radiometric Performance of Digital Image Data Collection - A Comparison of ADS40/DMC/UltraCam and EmergeDSS

E. Honkavaara, L. Markelin, 2007 .

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

E. Honkavaara, T. Hakala, S. Tuominen, 2017 .

Land use optimization tool for sustainable intensification of high-latitude agricultural systems

E. Honkavaara, E. Puttonen, Samantha Wittke, 2019, Land Use Policy.

Performance of dense digital surface models based on image matching in the estimation of plot-level forest variables

Juha Hyyppä, Eija Honkavaara, Xiaowei Yu, 2013 .

Evaluating the performance of high-altitude aerial image-based digital surface models in detecting individual tree crowns in mature boreal forests

Juha Hyyppä, Eija Honkavaara, Xiaowei Yu, 2016 .

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

Eija Honkavaara, Teemu Hakala, Jere Kaivosoja, 2018 .

Radiometric Aspects of Digital Photogrammetric Images

E. Honkavaara, G. Vosselman, J. Hyyppä, 2013 .

Variation and directional anisotropy of reflectance at the crown scale — Implications for tree species classification in digital aerial images

Eija Honkavaara, Ville Heikkinen, Ilkka Korpela, 2011 .

VALIDATION OF THE RADIOMETRIC PROCESSING CHAIN OF THE LEICA ADS40 AIRBORNE PHOTOGRAMMETRIC SENSOR

Eija Honkavaara, Ilkka Korpela, Ulrich Beisl, 2010 .

ORIENTATION AND CALIBRATION REQUIREMENTS FOR HYPERPECTRAL IMAGING USING UAVs : A CASE STUDY

E. Honkavaara, A. Berveglieri, A. Tommaselli, 2016 .

Characterizing Seedling Stands Using Leaf-Off and Leaf-On Photogrammetric Point Clouds and Hyperspectral Imagery Acquired from Unmanned Aerial Vehicle

Juha Hyyppä, Eija Honkavaara, Teemu Hakala, 2019, Forests.

UAV-BASED PHOTOGRAMMETRIC POINT CLOUDS AND HYPERSPECTRAL IMAGING FOR MAPPING BIODIVERSITY INDICATORS IN BOREAL FORESTS

Juha Hyyppä, Eija Honkavaara, Teemu Hakala, 2017 .

DETECTING CITRUS HUANGLONGBING IN BRAZILIAN ORCHARDS USING HYPERSPECTRAL AERIAL IMAGES

E. Honkavaara, A. Berveglieri, N. Imai, 2019, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.

INVESTIGATIONS ON SYSTEM CALIBRATION OF GPS / IMU AND CAMERA FOR DIRECT GEOREFERENCING

E. Honkavaara, J. Hyyppä, E. Ahokas, 2002 .

Forest in situ observations using unmanned aerial vehicle as an alternative of terrestrial measurements

Eija Honkavaara, Xiaowei Yu, Xinlian Liang, 2019, Forest Ecosystems.

THE EUROSDR PROJECT "RADIOMETRIC ASPECTS OF DIGITAL PHOTOGRAMMETRIC IMAGES" – RESULTS OF THE EMPIRICAL PHASE

Eija Honkavaara, Daniel Schläpfer, Mathieu Brédif, 2012 .

Calibrating and validating multispectral 3D imaging systems at a permanent test site—case study with an Intergraph DMC

K. Nurminen, E. Honkavaara, J. Suomalainen, 2011 .

Jukuri, open repository of the Natural Resources Institute Finland (Luke)

E. Honkavaara, P. Lyytikäinen-Saarenmaa, J. Suomalainen, 2020 .

Spectral Differences Of Tree Species Belonging To Atlantic Forest Obtained From Uav Hyperspectral Images

G. T. Miyoshi, E. Honkavaara, N. Imai, 2020, 2020 IEEE Latin American GRSS & ISPRS Remote Sensing Conference (LAGIRS).

Assessing the effects of thinning on stem growth allocation of individual Scots pine trees

E. Honkavaara, M. Vastaranta, M. Holopainen, 2020, bioRxiv.

Assessing the effects of thinning on stem growth allocation of individual Scots pine trees

E. Honkavaara, M. Vastaranta, M. Holopainen, 2020 .

Using Aerial Platforms in Predicting Water Quality Parameters from Hyperspectral Imaging Data with Deep Neural Networks

E. Honkavaara, T. Hakala, R. Näsi, 2020 .

Using Hyperspectral Frame Images from Unmanned Airborne Vehicle for Detailed Measurement of Boreal Forest 3D Structure

E. Honkavaara, A. Tommaselli, R. Oliveira, 2016 .

ESTIMATING EXTERIOR ORIENTATION PARAMETERS OF HYPERSPECTRAL BANDS BASED ON POLYNOMIAL MODELS

E. Honkavaara, A. Berveglieri, A. Tommaselli, 2017 .

THEORETICAL AND EMPIRICAL EVALUATION OF GEOMETRIC PERFORMANCE OF MULTI-HEAD LARGE FORMAT PHOTOGRAMMETRIC SENSORS

K. Nurminen, E. Honkavaara, E. Ahokas, 2006 .

MAPPING THE RISK OF FOREST WIND DAMAGE USING AIRBORNE SCANNING LiDAR

P. Litkey, E. Honkavaara, M. Vastaranta, 2015 .

Detailed point cloud data on stem size and shape of Scots pine trees

E. Honkavaara, M. Vastaranta, M. Holopainen, 2020, bioRxiv.

UAV in the advent of the twenties: Where we stand and what is next

E. Honkavaara, F. Nex, C. Armenakis, 2022 .

Estimating Grass Sward Quality and Quantity Parameters Using Drone Remote Sensing with Deep Neural Networks

E. Honkavaara, Kirsi Karila, R. Näsi, 2022, Remote. Sens..

Multisensorial Close-Range Sensing Generates Benefits for Characterization of Managed Scots Pine (Pinus sylvestris L.) Stands

E. Honkavaara, M. Vastaranta, M. Holopainen, 2020, ISPRS Int. J. Geo Inf..

Identiﬁcation of Signiﬁcative LiDAR Metrics and Comparison of Machine Learning Approaches for Estimating Stand and Diversity Variables in Heterogeneous Brazilian Atlantic Forest

E. Honkavaara, Milto Miltiadou, N. Imai, 2021 .

Tree Species Recognition in Species Rich Area Using Uav-Borne Hyperspectral Imagery and Stereo-Photogrammetric Point Cloud

E. Honkavaara, T. Hakala, S. Tuominen, 2017 .

Assessing Structural Complexity of Individual Scots Pine Trees by Comparing Terrestrial Laser Scanning and Photogrammetric Point Clouds

E. Honkavaara, M. Vastaranta, M. Holopainen, 2022, Forests.

ASSESSMENT OF VARIOUS REMOTE SENSING TECHNOLOGIES IN BIOMASS AND NITROGEN CONTENT ESTIMATION USING AN AGRICULTURAL TEST FIELD

E. Honkavaara, T. Hakala, L. Markelin, 2017 .

TILT CORRECTION OF ONBOARD DRONE IRRADIANCE MEASUREMENTS – EVALUATION OF HYPERSPECTRAL METHODS

E. Honkavaara, J. Suomalainen, L. Markelin, 2022, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.

An Ecological Framework for Evaluating Map Errors Using Fuzzy Sets

E. Honkavaara, J. Hyyppä, E. Ahokas, 2008 .

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

E. Honkavaara, M. Holopainen, J. Hyyppä, 2022, IEEE Geoscience and Remote Sensing Magazine.

Tree Species Classification of Drone Hyperspectral and RGB Imagery with Deep Learning Convolutional Neural Networks

E. Honkavaara, E. Khoramshahi, I. Pölönen, 2020, Remote. Sens..

IMPACT OF REDUCTION OF RADIOMETRIC RESOLUTION IN HYPERSPECTRAL IMAGES ACQUIRED OVER FOREST FIELD

E. Honkavaara, N. Imai, A. Tommaselli, 2018, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.

Analysis of the Radiometric Response of Orange Tree Crown in Hyperspectral Uav Images

E. Honkavaara, R. Näsi, N. Imai, 2017 .

Comparison between Terrestrial Laser Scanning and Photogrammetric Point Clouds Tienaho,

E. Honkavaara, N. Viljanen, Hynynen, 2022 .

Estimating Tree Health Decline Caused by Ips typographus L. from UAS RGB Images Using a Deep One-Stage Object Detection Neural Network

E. Honkavaara, P. Lyytikäinen-Saarenmaa, Kirsi Karila, 2022, Remote Sensing.

Pre-crop Values From Satellite Images for Various Previous and Subsequent Crop Combinations

E. Honkavaara, E. Puttonen, M. Karjalainen, 2019, Front. Plant Sci..

Quantitative Remote Sensing at Ultra-High Resolution with UAV Spectroscopy: A Review of Sensor Technology, Measurement Procedures, and Data Correction Workflows

Eija Honkavaara, Arko Lucieer, Pablo J. Zarco-Tejada, 2018, Remote. Sens..

Individual Tree Detection and Classification with UAV-Based Photogrammetric Point Clouds and Hyperspectral Imaging

Juha Hyyppä, Heikki Saari, Ilkka Pölönen, 2017, Remote. Sens..

Hyperspectral imaging based biomass and nitrogen content estimations from light-weight UAV

Heikki Saari, Ilkka Pölönen, Eija Honkavaara, 2013, Remote Sensing.

Biomass estimator for NIR image with a few additional spectral band images taken from light UAS

Heikki Saari, Ilkka Pölönen, Heikki Salo, 2012, Defense + Commercial Sensing.

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

Eija Honkavaara, Teemu Hakala, Jere Kaivosoja, 2018, Remote. Sens..

USING MULTITEMPORAL HYPER- AND MULTISPECTRAL UAV IMAGING FOR DETECTING BARK BEETLE INFESTATION ON NORWAY SPRUCE

E. Honkavaara, P. Lyytikäinen-Saarenmaa, J. Suomalainen, 2020 .

Direct reflectance transformation methodology for drone-based hyperspectral imaging

E. Honkavaara, J. Suomalainen, T. Hakala, 2021, Remote Sensing of Environment.

A Novel Deep Learning Method to Identify Single Tree Species in UAV-Based Hyperspectral Images

Eija Honkavaara, Nilton Nobuhiro Imai, Lucas Prado Osco, 2020, Remote. Sens..

An Image-Based Real-Time Georeferencing Scheme for a UAV Based on a New Angular Parametrization

Eija Honkavaara, Ehsan Khoramshahi, Raquel Alves de Oliveira, 2020, Remote. Sens..

Radiometric Correction of Close-Range Spectral Image Blocks Captured Using an Unmanned Aerial Vehicle with a Radiometric Block Adjustment

Eija Honkavaara, Ehsan Khoramshahi, E. Honkavaara, 2018, Remote. Sens..

What does the NDVI really tell us about crops? Insight from proximal spectral field sensors

E. Honkavaara, T. Hakala, J. Atherton, 2020 .

Using UAV-Based Photogrammetry and Hyperspectral Imaging for Mapping Bark Beetle Damage at Tree-Level

Eija Honkavaara, Teemu Hakala, Paula Litkey, 2015, Remote. Sens..

FACTORS AFFECTING THE QUALITY OF DTM GENERATION IN FORESTED AREAS

Juha Hyyppä, Eija Honkavaara, Harri Kaartinen, 2005 .

Technical notes: A detailed study for the provision of measurement uncertainty and traceability for goniospectrometers

Maria Gritsevich, Eija Honkavaara, Teemu Hakala, 2014 .

Comparison of Laser and Stereo Optical, SAR and InSAR Point Clouds from Air- and Space-Borne Sources in the Retrieval of Forest Inventory Attributes

Juha Hyyppä, Eija Honkavaara, Xiaowei Yu, 2015, Remote. Sens..

Automatic Storm Damage Detection in Forests Using High-Altitude Photogrammetric Imagery

Eija Honkavaara, Paula Litkey, Kimmo Nurminen, 2013, Remote. Sens..

Digital Airborne Photogrammetry - A New Tool for Quantitative Remote Sensing? - A State-of-the-Art Review On Radiometric Aspects of Digital Photogrammetric Images

Eija Honkavaara, Daniel Schläpfer, Michael Cramer, 2009, Remote. Sens..

Forest Data Collection Using Terrestrial Image-Based Point Clouds From a Handheld Camera Compared to Terrestrial and Personal Laser Scanning

Juha Hyyppä, Eija Honkavaara, Jingbin Liu, 2015, IEEE Transactions on Geoscience and Remote Sensing.

Identification of Significative LiDAR Metrics and Comparison of Machine Learning Approaches for Estimating Stand and Diversity Variables in Heterogeneous Brazilian Atlantic Forest

Eija Honkavaara, Nilton Nobuhiro Imai, Antonio Maria Garcia Tommaselli, 2021, Remote. Sens..

A Backpack-Mounted Omnidirectional Camera with Off-the-Shelf Navigation Sensors for Mobile Terrestrial Mapping: Development and Forest Application

Eija Honkavaara, Teemu Hakala, Harri Kaartinen, 2018, Sensors.

Reference Measurements in Developing UAV Systems for Detecting Pests, Weeds, and Diseases

Eija Honkavaara, Jere Kaivosoja, Roope Näsi, 2021, Remote. Sens..

Direct Reflectance Measurements from Drones: Sensor Absolute Radiometric Calibration and System Tests for Forest Reflectance Characterization

Eija Honkavaara, Teemu Hakala, Olli Nevalainen, 2018, Sensors.

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

E. Honkavaara, L. Alakukku, R. Näsi, 2023, Agronomy.

Structural and photosynthetic dynamics mediate the response of SIF to water stress in a potato crop

E. Honkavaara, T. Hakala, A. Porcar-Castell, 2021 .

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

M. A. Zaidan, E. Honkavaara, T. Hakala, 2020, IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium.

Flat-field calibration method for hyperspectral frame cameras

Eija Honkavaara, Petri Kärhä, Alexander Kokka, 2019, Metrologia.

Radiometric block adjustment of hyperspectral image blocks in the Brazilian environment

Eija Honkavaara, Roope Näsi, Nilton Nobuhiro Imai, 2018 .

Tree Species Classification in a Complex Brazilian Tropical Forest Using Hyperspectral and LiDAR Data

E. Honkavaara, Milto Miltiadou, N. Imai, 2023, Forests.

Hyperspectral reflectance signatures and point clouds for precision agriculture by light weight UAV imaging system

Heikki Saari, Eija Honkavaara, Teemu Hakala, 2012 .

Pix2pix Conditional Generative Adversarial Network with MLP Loss Function for Cloud Removal in a Cropland Time Series

E. Honkavaara, M. Shimabukuro, M. Galo, 2021, Remote Sensing.

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

Heikki Saari, Ilkka Pölönen, Eija Honkavaara, 2013, Remote. Sens..

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

Heikki Saari, Ilkka Pölönen, Eija Honkavaara, 2018, Remote. Sens..

Refining the Interior Orientation of a Hyperspectral Frame Camera With Preliminary Bands Co-Registration

Eija Honkavaara, Nilton Nobuhiro Imai, Adilson Berveglieri, 2019, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

UAS based tree species identification using the novel FPI based hyperspectral cameras in visible, NIR and SWIR spectral ranges

E. Honkavaara, H. Saari, E. Honkavaara, 2016 .

Miniaturized hyperspectral imager calibration and UAV flight campaigns

Heikki Saari, Ilkka Pölönen, Heikki Salo, 2013, Remote Sensing.

Accuracy of High-Altitude Photogrammetric Point Clouds in Mapping

Juha Hyyppä, Eija Honkavaara, Ninni Saarinen, 2017 .

ON THE USE OF RPAS IN NATIONAL MAPPING - THE EUROSDR POINT OF VIEW

Michael Cramer, Eija Honkavaara, Mark Tabor, 2013 .

Comparison of the Selected State-Of-The-Art 3D Indoor Scanning and Point Cloud Generation Methods

Juha Hyyppä, Eija Honkavaara, Anttoni Jaakkola, 2017, Remote. Sens..

Using multi-source data to map and model the predisposition of forests to wind disturbance

Juha Hyyppä, Eija Honkavaara, Paula Litkey, 2016 .

Assessing Biodiversity in Boreal Forests with UAV-Based Photogrammetric Point Clouds and Hyperspectral Imaging

Juha Hyyppä, Eija Honkavaara, Teemu Hakala, 2018, Remote. Sens..

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)

Heikki Saari, Ilkka Pölönen, Eija Honkavaara, 2016, IEEE Transactions on Geoscience and Remote Sensing.

Band registration of tuneable frame format hyperspectral UAV imagers in complex scenes

Eija Honkavaara, Antonio Maria Garcia Tommaselli, Tomi Rosnell, 2017 .

Investigating Foliar Macro- and Micronutrient Variation with Chlorophyll Fluorescence and Reflectance Measurements at the Leaf and Canopy Scales in Potato

E. Honkavaara, A. Porcar-Castell, J. Atherton, 2023, Remote. Sens..

VARIABILITY OF REMOTE SENSING SPECTRAL INDICES IN BOREAL LAKE BASINS

E. Honkavaara, R. Näsi, A. Lindfors, 2018, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.

UAV-based hyperspectral monitoring of small freshwater area

Heikki Saari, Ilkka Pölönen, Eija Honkavaara, 2014, Remote Sensing.

Design of Vegetation Index for Identifying the Mosaic Virus in Sugarcane Plantation: A Brazilian Case Study

E. Honkavaara, N. Imai, A. Tommaselli, 2023, Agronomy.

A Novel Tilt Correction Technique for Irradiance Sensors and Spectrometers On-Board Unmanned Aerial Vehicles

Eija Honkavaara, Teemu Hakala, Roope Näsi, 2018, Remote. Sens..

METHODOLOGY FOR DIRECT REFLECTANCE MEASUREMENT FROM A DRONE: SYSTEM DESCRIPTION, RADIOMETRIC CALIBRATION AND LATEST RESULTS

Eija Honkavaara, Teemu Hakala, Nigel P. Fox, 2018, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.

Autonomous hyperspectral UAS photogrammetry for environmental monitoring applications

Heikki Saari, Ilkka Pölönen, Eija Honkavaara, 2014 .

An SVM Classification of Tree Species Radiometric Signatures Based on the Leica ADS40 Sensor

Eija Honkavaara, Ville Heikkinen, Jussi Parkkinen, 2011, IEEE Transactions on Geoscience and Remote Sensing.

Analysis of Properties of Reflectance Reference Targets for Permanent Radiometric Test Sites of High Resolution Airborne Imaging Systems

Eija Honkavaara, Teemu Hakala, Juha Suomalainen, 2010, Remote. Sens..

Chlorophyll Concentration Retrieval by Training Convolutional Neural Network for Stochastic Model of Leaf Optical Properties (SLOP) Inversion

Ilkka Pölönen, Eija Honkavaara, Sakari Tuominen, 2020, Remote. Sens..

Evaluation of Hyperspectral Multitemporal Information to Improve Tree Species Identification in the Highly Diverse Atlantic Forest

Eija Honkavaara, Nilton Nobuhiro Imai, Antonio Maria Garcia Tommaselli, 2020, Remote. Sens..

COMPARISON OF PIXEL AND REGION-BASED APPROACHES FOR TREE SPECIES MAPPING IN ATLANTIC FOREST USING HYPERSPECTRAL IMAGES ACQUIRED BY UAV

N. N. Imai, G. T. Miyoshi, E. Honkavaara, 2019, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.

Identification of Successional Stages and Cover Changes of Tropical Forest Based on Digital Surface Model Analysis

Eija Honkavaara, Nilton Nobuhiro Imai, Antonio Maria Garcia Tommaselli, 2016, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Bundle Adjustment of a Time-Sequential Spectral Camera Using Polynomial Models

Eija Honkavaara, Adilson Berveglieri, Antonio Maria Garcia Tommaselli, 2019, IEEE Transactions on Geoscience and Remote Sensing.

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

E. Honkavaara, A. Berveglieri, N. Imai, 2021, Remote Sensing Applications: Society and Environment.

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

Ilkka Pölönen, Eija Honkavaara, Olli Nevalainen, 2018, 2018 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).

Upscaling of solar induced chlorophyll fluorescence from leaf to canopy using the DART model and a realistic 3D forest scene

Eija Honkavaara, Jon Atherton, Albert Porcar-Castell, 2017 .

REAL-TIME AND POST-PROCESSED GEOREFERENCING FOR HYPERPSPECTRAL DRONE REMOTE SENSING

Eija Honkavaara, Niko Viljanen, Juha Suomalainen, 2018, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.

IN-FLIGHT CAMERA CALIBRATION FOR DIRECT GEOREFERENCING

E. Honkavaara, E. Honkavaara, 2004 .

Modelling and automated calibration of a general multi‐projective camera

Eija Honkavaara, Ehsan Khoramshahi, E. Honkavaara, 2018 .

Generating a hyperspectral digital surface model using a hyperspectral 2D frame camera

Eija Honkavaara, Antonio Maria Garcia Tommaselli, Raquel Alves de Oliveira, 2019, ISPRS Journal of Photogrammetry and Remote Sensing.

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

E. Honkavaara, R. Näsi, H. Pistori, 2022, Agronomy.

Geometric test field calibration of digital photogrammetric sensors

Juha Hyyppä, Eija Honkavaara, Harri Kaartinen, 2006 .

IN SITU DIGITAL AIRBORNE CAMERA VALIDATION AND CERTIFICATION - THE FUTURE STANDARD ?

Eija Honkavaara, Michael Cramer, G. Grenzdörffer, 2010 .

Airborne Laser Scanning Outperforms the Alternative 3D Techniques in Capturing Variation in Tree Height and Forest Density in Southern Boreal Forests

Juha Hyyppä, Eija Honkavaara, Xiaowei Yu, 2018 .

USING INDIVIDUAL TREE CROWN APPROACH FOR FOREST VOLUME EXTRACTION WITH AERIAL IMAGES AND LASER POINT CLOUDS

Juha Hyyppä, Eija Honkavaara, Xiaowei Yu, 2005 .

Forest cover change analysis based on temporal gradients of the vertical structure and density

E. Honkavaara, A. Berveglieri, N. Imai, 2021, Ecological Indicators.

Accurate Calibration Scheme for a Multi-Camera Mobile Mapping System

Eija Honkavaara, Harri Kaartinen, Antero Kukko, 2019, Remote. Sens..

Radiometric correction of multitemporal hyperspectral uas image mosaics of seedling stands

Eija Honkavaara, Teemu Hakala, Roope Näsi, 2017 .

AUTOMATIC DETECTION OF STORM DAMAGES USING HIGH-ALTITUDE PHOTOGRAMMETRIC IMAGING

K. Nurminen, P. Litkey, E. Honkavaara, 2013 .

Point Cloud Generation from Aerial Image Data Acquired by a Quadrocopter Type Micro Unmanned Aerial Vehicle and a Digital Still Camera

Eija Honkavaara, Tomi Rosnell, E. Honkavaara, 2012, Sensors.

Calibrating digital photogrammetric airborne imaging systems using a test field

Eija Honkavaara, E. Honkavaara, 2008 .

Practical results of GPS/IMU/camera system calibration

Eija Honkavaara, Risto Ilves, Juha Jaakkola, 2002 .

The Use of a Hand-Held Camera for Individual Tree 3D Mapping in Forest Sample Plots

Juha Hyyppä, Eija Honkavaara, Jingbin Liu, 2014, Remote. Sens..

A linear single reagent method for determination of protein in cerebrospinal fluid.

E. Honkavaara, E. J. Salo, 1974, Scandinavian journal of clinical and laboratory investigation.

A New Approach for Feeding Multispectral Imagery into Convolutional Neural Networks Improved Classification of Seedlings

E. Honkavaara, M. Vastaranta, M. Holopainen, 2023, Remote. Sens..

Multispectral Imagery Provides Benefits for Mapping Spruce Tree Decline Due to Bark Beetle Infestation When Acquired Late in the Season

E. Honkavaara, M. Vastaranta, M. Holopainen, 2022, Remote. Sens..

A Fisheye Image Matching Method Boosted by Recursive Search Space for Close Range Photogrammetry

Eija Honkavaara, Antonio Maria Garcia Tommaselli, Mariana Batista Campos, 2019, Remote. Sens..

Geometric model and assessment of a dual‐fisheye imaging system

Eija Honkavaara, Antonio Maria Garcia Tommaselli, José Marcato Junior, 2018 .

UAV in the advent of the twenties: Where we stand and what is next

E. Honkavaara, F. Nex, C. Armenakis, 2022, ISPRS Journal of Photogrammetry and Remote Sensing.

Visual-Inertial Odometry Using High Flying Altitude Drone Datasets

E. Honkavaara, J. Suomalainen, T. Hakala, 2023, Drones.

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

E. Honkavaara, J. Gastellu-Etchegorry, T. Hakala, 2023, Remote Sensing of Environment.

Development of a UAV-MMS-Collaborative Aerial-to-Ground Remote Sensing System – A Preparatory Field Validation

Yi Lin, Juha Hyyppä, Eija Honkavaara, 2013, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

EVALUATION OF SAR TO OPTICAL IMAGE TRANSLATION USING CONDITIONAL GENERATIVE ADVERSARIAL NETWORK FOR CLOUD REMOVAL IN A CROP DATASET

E. Honkavaara, M. Galo, M. Shimabukuro, 2021 .

High-precision estimation of grass quality and quantity using UAS-based VNIR and SWIR hyperspectral cameras and machine learning

E. Honkavaara, J. Suomalainen, T. Hakala, 2023, Precision Agriculture.