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Juha Suomalainen
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2020 – today
- 2024
- [i1]Julius Pesonen, Teemu Hakala, Väinö Karjalainen, Niko Koivumäki, Lauri Markelin, Anna-Maria Raita-Hakola, Juha Suomalainen, Ilkka Pölönen, Eija Honkavaara:
Detecting Wildfires on UAVs with Real-time Segmentation Trained by Larger Teacher Models. CoRR abs/2408.10843 (2024) - 2021
- [j24]Na Wang
, Juha Suomalainen
Diurnal variation of sun-induced chlorophyll fluorescence of agricultural crops observed from a point-based spectrometer on a UAV. Int. J. Appl. Earth Obs. Geoinformation 96: 102276 (2021) - 2020
- [j23]Niels S. Anders
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. Earth Sci. Informatics 13(2): 391-404 (2020)
2010 – 2019
- 2019
- [j22]Marston Héracles Domingues Franceschini
Feasibility of Unmanned Aerial Vehicle Optical Imagery for Early Detection and Severity Assessment of Late Blight in Potato. Remote. Sens. 11(3): 224 (2019) - 2018
- [j21]Peter P. J. Roosjen, Benjamin Brede
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. Int. J. Appl. Earth Obs. Geoinformation 66: 14-26 (2018) - [j20]Eleanor R. Thomson
Mapping the Leaf Economic Spectrum across West African Tropical Forests Using UAV-Acquired Hyperspectral Imagery. Remote. Sens. 10(10): 1532 (2018) - [j19]Juha Suomalainen
A Novel Tilt Correction Technique for Irradiance Sensors and Spectrometers On-Board Unmanned Aerial Vehicles. Remote. Sens. 10(12): 2068 (2018) - [j18]Teemu Hakala, Lauri Markelin
Direct Reflectance Measurements from Drones: Sensor Absolute Radiometric Calibration and System Tests for Forest Reflectance Characterization. Sensors 18(5): 1417 (2018) - 2017
- [j17]Peter P. J. Roosjen, Juha M. Suomalainen
Mapping Reflectance Anisotropy of a Potato Canopy Using Aerial Images Acquired with an Unmanned Aerial Vehicle. Remote. Sens. 9(5): 417 (2017) - [j16]Marston Héracles Domingues Franceschini
Intercomparison of Unmanned Aerial Vehicle and Ground-Based Narrow Band Spectrometers Applied to Crop Trait Monitoring in Organic Potato Production. Sensors 17(6): 1428 (2017) - [j15]Marston Héracles Domingues Franceschini
Correction: Domingues Franceschini, M.H.; et al. Intercomparison of Unmanned Aerial Vehicle and Ground-Based Narrow Band Spectrometers Applied to Crop Trait Monitoring in Organic Potato Production. Sensors 2017, 17, 1428. Sensors 17(10): 2265 (2017) - 2016
- [j14]Peter P. J. Roosjen, Juha Suomalainen
Hyperspectral Reflectance Anisotropy Measurements Using a Pushbroom Spectrometer on an Unmanned Aerial Vehicle - Results for Barley, Winter Wheat, and Potato. Remote. Sens. 8(11): 909 (2016) - 2015
- [j13]Alessandra Capolupo
Estimating Plant Traits of Grasslands from UAV-Acquired Hyperspectral Images: A Comparison of Statistical Approaches. ISPRS Int. J. Geo Inf. 4(4): 2792-2820 (2015) - [j12]Caroline M. Gevaert
Generation of Spectral-Temporal Response Surfaces by Combining Multispectral Satellite and Hyperspectral UAV Imagery for Precision Agriculture Applications. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(6): 3140-3146 (2015) - 2014
- [j11]Juha Suomalainen
A Lightweight Hyperspectral Mapping System and Photogrammetric Processing Chain for Unmanned Aerial Vehicles. Remote. Sens. 6(11): 11013-11030 (2014) - [c5]Caroline M. Gevaert
Combining hyperspectral UAV and multispectral Formosat-2 imagery for precision agriculture applications. WHISPERS 2014: 1-4 - 2013
- [j10]Jari Vauhkonen, Teemu Hakala, Juha Suomalainen
Classification of Spruce and Pine Trees Using Active Hyperspectral LiDAR. IEEE Geosci. Remote. Sens. Lett. 10(5): 1138-1141 (2013) - [c4]Juha Suomalainen
A light-weight hyperspectral mapping system for unmanned aerial vehicles - The first results. WHISPERS 2013: 1-4 - 2011
- [j9]Barnaby Clark, Juha Suomalainen
An historical empirical line method for the retrieval of surface reflectance factor from multi-temporal SPOT HRV, HRVIR and HRG multispectral satellite imagery. Int. J. Appl. Earth Obs. Geoinformation 13(2): 292-307 (2011) - 2010
- [j8]Teemu Hakala, Juha Suomalainen
Acquisition of Bidirectional Reflectance Factor Dataset Using a Micro Unmanned Aerial Vehicle and a Consumer Camera. Remote. Sens. 2(3): 819-832 (2010) - [j7]Eija Honkavaara
Analysis of Properties of Reflectance Reference Targets for Permanent Radiometric Test Sites of High Resolution Airborne Imaging Systems. Remote. Sens. 2(8): 1892-1917 (2010) - [j6]Jouni I. Peltoniemi
Land Surface Albedos Computed from BRF Measurements with a Study of Conversion Formulae. Remote. Sens. 2(8): 1918-1940 (2010) - [j5]Yuwei Chen
Two-channel Hyperspectral LiDAR with a Supercontinuum Laser Source. Sensors 10(7): 7057-7066 (2010) - [c3]Sanna Kaasalainen
Active hyperspectral LIDAR methods for object classification. WHISPERS 2010: 1-4
2000 – 2009
- 2009
- [j4]Juha Suomalainen
Polarised Multiangular Reflectance Measurements Using the Finnish Geodetic Institute Field Goniospectrometer. Sensors 9(5): 3891-3907 (2009) - [j3]Sanna Kaasalainen
Radiometric Calibration of LIDAR Intensity With Commercially Available Reference Targets. IEEE Trans. Geosci. Remote. Sens. 47(2): 588-598 (2009) - [j2]Eetu Puttonen
Measurement of Reflectance Properties of Asphalt Surfaces and Their Usability as Reference Targets for Aerial Photos. IEEE Trans. Geosci. Remote. Sens. 47(7-2): 2330-2339 (2009) - [c2]Jean-Louis Roujean, Terhikki Manninen
SNORTEX (Snow Reflectance Transition Experiment): Remote Sensing Measurement of the Dynamic Properties of the Boreal Snow-forest in Support to Climate and Weather Forecast: Report of IOP-2008. IGARSS (2) 2009: 859-862 - 2007
- [c1]Timo Sukuvaara, Jouni Pulliainen
Reflectance spectroradiometer measurement system in 30 meter mast for validating satellite images. IGARSS 2007: 2885-2889 - 2005
- [j1]Sanna Kaasalainen, Eero Ahokas, Juha Hyyppä
Study of surface brightness from backscattered laser intensity: calibration of laser data. IEEE Geosci. Remote. Sens. Lett. 2(3): 255-259 (2005)
Coauthor Index
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