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Environmental Sciences

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36
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4296
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9188
National Ranking
212

Overview

Juha Suomalainen is a researcher affiliated with Wageningen University & Research in the Netherlands. Their work primarily lies within the fields of Environmental Science and Engineering, with particular contributions to subfields such as Global and Planetary Change, Ecology, Aerospace Engineering, Environmental Engineering, and Computer Vision and Pattern Recognition.

Their research has a strong focus on applications of remote sensing technologies, especially in environmental monitoring and agricultural contexts. The main topics of their work include:

  • Remote Sensing and LiDAR Applications
  • Remote Sensing in Agriculture
  • Fire effects on ecosystems
  • 3D Surveying and Cultural Heritage
  • Robotics and Sensor-Based Localization
  • Fire Detection and Safety Systems
  • Video Surveillance and Tracking Methods

Suomalainen has collaborated frequently with several researchers, including Eija Honkavaara, Niko Koivumäki, Teemu Hakala, Raquel Alves de Oliveira, and Roope Näsi.

The researcher has published in various scientific venues, with recurring contributions to:

  • The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
  • arXiv (Cornell University)
  • International Journal of Applied Earth Observation and Geoinformation
  • Remote Sensing of Environment
  • The Cryosphere

Among recent papers authored or co-authored by Juha Suomalainen are:

  • Direct reflectance transformation methodology for drone-based hyperspectral imaging (2021), Remote Sensing of Environment
  • Diurnal variation of sun-induced chlorophyll fluorescence of agricultural crops observed from a point-based spectrometer on a UAV (2020), International Journal of Applied Earth Observation and Geoinformation
  • Impact of flight altitude and cover orientation on Digital Surface Model (DSM) accuracy for flood damage assessment in Murcia (Spain) using a fixed-wing UAV (2020), Earth Science Informatics
  • Effect of small-scale snow surface roughness on snow albedo and reflectance (2021), The Cryosphere
  • Using multitemporal hyper- and multispectral UAV imaging for detecting bark beetle infestation on Norway spruce (2020), The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

Juha Suomalainen's research combines expertise in remote sensing instrumentation and data processing with applied environmental challenges, using UAV-based imaging techniques to contribute to precision agriculture, ecosystem monitoring, and natural disaster assessment.

Best Publications

  • Generation of Spectral–Temporal Response Surfaces by Combining Multispectral Satellite and Hyperspectral UAV Imagery for Precision Agriculture Applications

    Caroline M. Gevaert;Juha Suomalainen;Jing Tang;Lammert Kooistra

  • Full waveform hyperspectral LiDAR for terrestrial laser scanning

    Teemu Hakala;Juha Suomalainen;Sanna Kaasalainen;Yuwei Chen

  • Improved estimation of leaf area index and leaf chlorophyll content of a potato crop using multi-angle spectral data – potential of unmanned aerial vehicle imagery

    Peter P.J. Roosjen;Benjamin Brede;Juha M. Suomalainen;Juha M. Suomalainen;Harm M. Bartholomeus

  • A Lightweight Hyperspectral Mapping System and Photogrammetric Processing Chain for Unmanned Aerial Vehicles

    Juha Suomalainen;Niels S. Anders;Shahzad Iqbal;Gerbert Roerink

  • Estimating Plant Traits of Grasslands from UAV-Acquired Hyperspectral Images: A Comparison of Statistical Approaches

    Alessandra Capolupo;Lammert Kooistra;Clara Berendonk;Lorenzo Boccia

  • Radiometric Calibration of LIDAR Intensity With Commercially Available Reference Targets

    S. Kaasalainen;H. Hyyppa;A. Kukko;P. Litkey

  • Study of surface brightness from backscattered laser intensity: calibration of laser data

    S. Kaasalainen;E. Ahokas;J. Hyyppa;J. Suomalainen

  • Two-channel Hyperspectral LiDAR with a Supercontinuum Laser Source

    Yuwei Chen;Esa Räikkönen;Sanna Kaasalainen;Juha Suomalainen

  • A review: remote sensing sensors

    Lingli Zhu;Juha Suomalainen;Jingbin Liu;Jingbin Liu;Juha Hyyppä

  • Polarised bidirectional reflectance factor measurements from soil, stones, and snow

    Jouni Peltoniemi;Teemu Hakala;Juha Suomalainen;Eetu Puttonen

  • Fast and nondestructive method for leaf level chlorophyll estimation using hyperspectral LiDAR

    Olli Nevalainen;Teemu Hakala;Juha Suomalainen;Juha Suomalainen;Raisa Mäkipää

  • Acquisition of Bidirectional Reflectance Factor Dataset Using a Micro Unmanned Aerial Vehicle and a Consumer Camera

    Teemu Hakala;Juha Suomalainen;Jouni I. Peltoniemi

  • Polarised Multiangular Reflectance Measurements Using the Finnish Geodetic Institute Field Goniospectrometer

    Juha Suomalainen;Teemu Hakala;Jouni Peltoniemi;Eetu Puttonen

  • Tree species classification from fused active hyperspectral reflectance and LIDAR measurements.

    Eetu Puttonen;Juha Suomalainen;Teemu Hakala;Esa Räikkönen

  • Classification of Spruce and Pine Trees Using Active Hyperspectral LiDAR

    J. Vauhkonen;T. Hakala;J. Suomalainen;S. Kaasalainen

  • Coupling forest canopy and understory reflectance in the Arctic latitudes of Finland

    Miina Rautiainen;Juha Suomalainen;Matti Mõttus;Pauline Stenberg

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

    Teemu Hakala;Lauri Markelin;Eija Honkavaara;Barry Scott

  • A Permanent Test Field for Digital Photogrammetric Systems

    Eija Honkavaara;Jouni Peltoniemi;Eero Ahokas;Risto Kuittinen

  • Feasibility of Unmanned Aerial Vehicle Optical Imagery for Early Detection and Severity Assessment of Late Blight in Potato

    Marston Héracles Domingues Franceschini;Harm M. Bartholomeus;Dirk Frederik van Apeldoorn;Juha Suomalainen

  • Intercomparison of Unmanned Aerial Vehicle and Ground-Based Narrow Band Spectrometers Applied to Crop Trait Monitoring in Organic Potato Production.

    Marston Héracles Domingues Franceschini;Harm M. Bartholomeus;Dirk van Apeldoorn;Juha Suomalainen

  • Combining hyperspectral UAV and multispectral Formosat-2 imagery for precision agriculture applications

    C.M. Gevaert;J. Tang;F.J. Garcia-Haro;J. Suomalainen

Frequent Co-Authors

Teemu Hakala
Teemu Hakala Finnish Geospatial Research Institute
Lammert Kooistra
Lammert Kooistra Wageningen University & Research
Harm Bartholomeus
Harm Bartholomeus Wageningen University & Research
Sanna Kaasalainen
Sanna Kaasalainen Finnish Geospatial Research Institute
Eija Honkavaara
Eija Honkavaara Finnish Geospatial Research Institute
Harri Kaartinen
Harri Kaartinen University of Turku
Jan G. P. W. Clevers
Jan G. P. W. Clevers Wageningen University & Research
Saskia Keesstra
Saskia Keesstra Wageningen University & Research
Juha Hyyppä
Juha Hyyppä Finnish Geospatial Research Institute
Miina Rautiainen
Miina Rautiainen Aalto University

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