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Solar-induced chlorophyll fluorescence measured from an unmanned aircraft system: sensor etaloning and platform notion correction


Bendig, J and Malenovsky, Z and Gautam, D and Lucieer, A, Solar-induced chlorophyll fluorescence measured from an unmanned aircraft system: sensor etaloning and platform notion correction, IEEE Transactions on Geoscience and Remote Sensing, 58, (5) pp. 3437-3444. ISSN 0196-2892 (2020) [Refereed Article]

Copyright Statement

2019 IEEE.

DOI: doi:10.1109/TGRS.2019.2956194


A dual-field-of-view spectroradiometer system has been developed for measuring solar-induced chlorophyll fluorescence (SIF), from an unmanned aircraft system (UAS). This 'AirSIF' system measures spectral reflectance in the visible and near-infrared wavelengths as well as SIF in far-red O2-A and red O2-B absorption features at high spatial resolution. It has the potential to support the interpretation and validation of canopy-emitted SIF observed by airborne, and future spaceborne sensors at coarser spatial resolutions, as well as simulated by radiative transfer models. In this contribution, we describe the AirSIF data collection and processing workflows and present a SIF map product of spatially explicit and geometrically correct spectroradiometer footprints. We analyze two possible sources of error in SIF retrieval procedure: A sensor-specific spectral artifact called etaloning and the uncertainty of incoming irradiance during UAS flight due to airframe motion (pitching and rolling). Finally, we present results from two SIF acquisition approaches: A continuous mapping flight and a stopgo flight targeting predefined areas of interest. The results are analyzed for a case study of Alfalfa and grass canopies and validated against ground measurements using the same system.

Item Details

Item Type:Refereed Article
Keywords:airborne spectroscopy, solar-induced chlorophyll fluorescence (SIF), unmanned aerial vehicle (UAV)
Research Division:Engineering
Research Group:Geomatic engineering
Research Field:Photogrammetry and remote sensing
Objective Division:Expanding Knowledge
Objective Group:Expanding knowledge
Objective Field:Expanding knowledge in the environmental sciences
UTAS Author:Bendig, J (Ms Juliane Bendig)
UTAS Author:Malenovsky, Z (Dr Zbynek Malenovsky)
UTAS Author:Lucieer, A (Professor Arko Lucieer)
ID Code:139215
Year Published:2020
Funding Support:Australian Research Council (FT160100477)
Web of Science® Times Cited:5
Deposited By:Geography and Spatial Science
Deposited On:2020-06-01
Last Modified:2020-07-09

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