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Technical Note

Flying Laboratory of Imaging Systems: Fusion of Airborne Hyperspectral and Laser Scanning for Ecosystem Research

1
Global Change Research Institute of the Czech Academy of Sciences (CzechGlobe), Bělidla 986/4a, 603 00 Brno, Czech Republic
2
Department of Geomatics, Faculty of Civil Engineering, Czech Technical University in Prague, Thákurova 7, 166 29 Prague 6, Czech Republic
3
Department of Geography, Faculty of Science, Masaryk University, Kotlářská 2, 611 37 Brno, Czech Republic
4
Faculty of Agriculture and Technology, University of South Bohemia in České Budějovice, Studentská 1668, 370 05 České Budějovice, Czech Republic
*
Author to whom correspondence should be addressed.
Remote Sens. 2023, 15(12), 3130; https://doi.org/10.3390/rs15123130
Submission received: 25 May 2023 / Revised: 12 June 2023 / Accepted: 13 June 2023 / Published: 15 June 2023

Abstract

Synergies of optical, thermal and laser scanning remotely sensed data provide valuable information to study the structure and functioning of terrestrial ecosystems. One of the few fully operational airborne multi-sensor platforms for ecosystem research in Europe is the Flying Laboratory of Imaging Systems (FLIS), operated by the Global Change Research Institute of the Czech Academy of Sciences. The system consists of three commercial imaging spectroradiometers. One spectroradiometer covers the visible and near-infrared, and the other covers the shortwave infrared part of the electromagnetic spectrum. These two provide full spectral data between 380–2450 nm, mainly for the assessment of biochemical properties of vegetation, soil and water. The third spectroradiometer covers the thermal long-wave infrared part of the electromagnetic spectrum and allows for mapping of surface emissivity and temperature properties. The fourth instrument onboard is the full waveform laser scanning system, which provides data on landscape orography and 3D structure. Here, we describe the FLIS design, data acquisition plan and primary data pre-processing. The synchronous acquisition of multiple data sources provides a complex analytical and data framework for the assessment of vegetation ecosystems (such as plant species composition, plant functional traits, biomass and carbon stocks), as well as for studying the role of greenery or blue-green infrastructure on the thermal behaviour of urban systems. In addition, the FLIS airborne infrastructure supports calibration and validation activities for existing and upcoming satellite missions (e.g., FLEX, PRISMA).
Keywords: remote sensing; hyperspectral; imaging spectroscopy; thermal; laser scanning; LiDAR; reflectance; surface temperature; ecosystem assessment remote sensing; hyperspectral; imaging spectroscopy; thermal; laser scanning; LiDAR; reflectance; surface temperature; ecosystem assessment
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MDPI and ACS Style

Hanuš, J.; Slezák, L.; Fabiánek, T.; Fajmon, L.; Hanousek, T.; Janoutová, R.; Kopkáně, D.; Novotný, J.; Pavelka, K.; Pikl, M.; et al. Flying Laboratory of Imaging Systems: Fusion of Airborne Hyperspectral and Laser Scanning for Ecosystem Research. Remote Sens. 2023, 15, 3130. https://doi.org/10.3390/rs15123130

AMA Style

Hanuš J, Slezák L, Fabiánek T, Fajmon L, Hanousek T, Janoutová R, Kopkáně D, Novotný J, Pavelka K, Pikl M, et al. Flying Laboratory of Imaging Systems: Fusion of Airborne Hyperspectral and Laser Scanning for Ecosystem Research. Remote Sensing. 2023; 15(12):3130. https://doi.org/10.3390/rs15123130

Chicago/Turabian Style

Hanuš, Jan, Lukáš Slezák, Tomáš Fabiánek, Lukáš Fajmon, Tomáš Hanousek, Růžena Janoutová, Daniel Kopkáně, Jan Novotný, Karel Pavelka, Miroslav Pikl, and et al. 2023. "Flying Laboratory of Imaging Systems: Fusion of Airborne Hyperspectral and Laser Scanning for Ecosystem Research" Remote Sensing 15, no. 12: 3130. https://doi.org/10.3390/rs15123130

APA Style

Hanuš, J., Slezák, L., Fabiánek, T., Fajmon, L., Hanousek, T., Janoutová, R., Kopkáně, D., Novotný, J., Pavelka, K., Pikl, M., Zemek, F., & Homolová, L. (2023). Flying Laboratory of Imaging Systems: Fusion of Airborne Hyperspectral and Laser Scanning for Ecosystem Research. Remote Sensing, 15(12), 3130. https://doi.org/10.3390/rs15123130

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