Next Article in Journal
The Precipitation Structure of the Mediterranean Tropical-Like Cyclone Numa: Analysis of GPM Observations and Numerical Weather Prediction Model Simulations
Next Article in Special Issue
A Spectral Fitting Algorithm to Retrieve the Fluorescence Spectrum from Canopy Radiance
Previous Article in Journal
Editorial for the Special Issue “Remote Sensing of Target Detection in Marine Environment”
Article Menu
Issue 14 (July-2) cover image

Export Article

Open AccessArticle

Hyplant-Derived Sun-Induced Fluorescence—A New Opportunity to Disentangle Complex Vegetation Signals from Diverse Vegetation Types

Department of Meteorology, Poznań University of Life Sciences, 60649 Poznan, Poland
Institute of Biogeosciences, IBG2, Forschungszentrum Juelich GmbH, 52425 Juelich, Germany
Department of Earth and Environmental Sciences, University of Milano-Bicocca, 20126 Milano, Italy
School of Geosciences, University of Edinburgh, Edinburgh EH9 3FF, UK
Department of Geography, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland
Faculty of Science and Technology, Free University of Bolzano, 39100 Bozen-Bolzano, Italy
JB Hyperspectral Devices, Am Botanischen Garten 33, 40225 Düsseldorf, Germany
Institute of Ecology, University of Innsbruck, Sternwartestrasse 15, 6020 Innsbruck, Austria
Department of Hydrobiology, Faculty of Biology, Adam Mickiewicz University, 61614 Poznan, Poland
Department of Land Improvement, Env. Development and Geodesy, Poznań University of Life Sciences, 60649 Poznan, Poland
Center for Remote Sensing and Earth Observation Processes (VITO-TAP), BE-2400 Mol, Belgium
Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, P.O. Box 217, AE Enschede 7500, The Netherlands
Eawag, Swiss Federal Institute of Aquatic Science and Technology, Überlandstrasse 133, 8600 Dübendorf, Switzerland
European Space Agency, ESTEC; 2201 AZ Noordwijk, The Netherlands
Author to whom correspondence should be addressed.
Remote Sens. 2019, 11(14), 1691;
Received: 5 June 2019 / Revised: 9 July 2019 / Accepted: 15 July 2019 / Published: 17 July 2019
PDF [6760 KB, uploaded 19 July 2019]


Hyperspectral remote sensing (RS) provides unique possibilities to monitor peatland vegetation traits and their temporal dynamics at a fine spatial scale. Peatlands provide a vital contribution to ecosystem services by their massive carbon storage and wide heterogeneity. However, monitoring, understanding, and disentangling the diverse vegetation traits from a heterogeneous landscape using complex RS signal is challenging, due to its wide biodiversity and distinctive plant species composition. In this work, we aim to demonstrate, for the first time, the large heterogeneity of peatland vegetation traits using well-established vegetation indices (VIs) and Sun-Induced Fluorescence (SIF) for describing the spatial heterogeneity of the signals which may correspond to spatial diversity of biochemical and structural traits. SIF originates from the initial reactions in photosystems and is emitted at wavelengths between 650–780 nm, with the first peak at around 687 nm and the second peak around 760 nm. We used the first HyPlant airborne data set recorded over a heterogeneous peatland area and its surrounding ecosystems (i.e., forest, grassland) in Poland. We deployed a comparative analysis of SIF and VIs obtained from differently managed and natural vegetation ecosystems, as well as from diverse small-scale peatland plant communities. Furthermore, spatial relationships between SIF and VIs from large-scale vegetation ecosystems to small-scale peatland plant communities were examined. Apart from signal variations, we observed a positive correlation between SIF and greenness-sensitive VIs, whereas a negative correlation between SIF and a VI sensitive to photosynthesis was observed for large-scale vegetation ecosystems. In general, higher values of SIF were associated with higher biomass of vascular plants (associated with higher Leaf Area Index (LAI)). SIF signals, especially SIF760, were strongly associated with the functional diversity of the peatland vegetation. At the peatland area, higher values of SIF760 were associated with plant communities of high perennials, whereas, lower values of SIF760 indicated peatland patches dominated by Sphagnum. In general, SIF760 reflected the productivity gradient on the fen peatland, from Sphagnum-dominated patches with the lowest SIF and fAPAR values indicating lowest productivity to the Carex-dominated patches with the highest SIF and fAPAR values indicating highest productivity. View Full-Text
Keywords: HyPlant; Sun-Induced Fluorescence (SIF); peatland; spectral vegetation indices; NDVI; SR; EVI; PRI; fAPAR; LAI; spectral fitting method; airborne campaign HyPlant; Sun-Induced Fluorescence (SIF); peatland; spectral vegetation indices; NDVI; SR; EVI; PRI; fAPAR; LAI; spectral fitting method; airborne campaign

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Supplementary material


Share & Cite This Article

MDPI and ACS Style

Bandopadhyay, S.; Rastogi, A.; Rascher, U.; Rademske, P.; Schickling, A.; Cogliati, S.; Julitta, T.; Mac Arthur, A.; Hueni, A.; Tomelleri, E.; Celesti, M.; Burkart, A.; Stróżecki, M.; Sakowska, K.; Gąbka, M.; Rosadziński, S.; Sojka, M.; Iordache, M.-D.; Reusen, I.; Van Der Tol, C.; Damm, A.; Schuettemeyer, D.; Juszczak, R. Hyplant-Derived Sun-Induced Fluorescence—A New Opportunity to Disentangle Complex Vegetation Signals from Diverse Vegetation Types. Remote Sens. 2019, 11, 1691.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Remote Sens. EISSN 2072-4292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top