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Airborne Hyperspectral Evaluation of Maximum Gross Photosynthesis, Gravimetric Water Content, and CO2 Uptake Efficiency of the Mer Bleue Ombrotrophic Peatland

1
Flight Research Laboratory, National Research Council of Canada, Ottawa, ON K1A-0R6, Canada
2
Applied Remote Sensing Lab., McGill University, Montreal, QC H3A-0B9, Canada
3
Department of Geography, McGill University, Montreal, QC H3A-0B9, Canada
4
Environmental Change Research Unit (ECRU), Ecosystems and Environment Research Programme, Faculty of Biological and Environmental Sciences, University of Helsinki, P.O. Box 65, 00014 Helsinki, Finland
*
Author to whom correspondence should be addressed.
Remote Sens. 2018, 10(4), 565; https://doi.org/10.3390/rs10040565
Received: 19 February 2018 / Revised: 31 March 2018 / Accepted: 4 April 2018 / Published: 6 April 2018
(This article belongs to the Special Issue Remote Sensing of Peatlands)
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Abstract

Peatlands cover a large area in Canada and globally (12% and 3% of the landmass, respectively). These ecosystems play an important role in climate regulation through the sequestration of carbon dioxide from, and the release of methane to, the atmosphere. Monitoring approaches, required to understand the response of peatlands to climate change at large spatial scales, are challenged by their unique vegetation characteristics, intrinsic hydrological complexity, and rapid changes over short periods of time (e.g., seasonality). In this study, we demonstrate the use of multitemporal, high spatial resolution (1 m2) hyperspectral airborne imagery (Compact Airborne Spectrographic Imager (CASI) and Shortwave Airborne Spectrographic Imager (SASI) sensors) for assessing maximum instantaneous gross photosynthesis (PGmax) in hummocks, and gravimetric water content (GWC) and carbon uptake efficiency in hollows, at the Mer Bleue ombrotrophic bog. We applied empirical models (i.e., in situ data and spectral indices) and we derived spatial and temporal trends for the aforementioned variables. Our findings revealed the distribution of hummocks (51.2%), hollows (12.7%), and tree cover (33.6%), which is the first high spatial resolution map of this nature at Mer Bleue. For hummocks, we found growing season PGmax values between 8 μmol m−2 s−1 and 12 μmol m−2 s−1 were predominant (86.3% of the total area). For hollows, our results revealed, for the first time, the spatial heterogeneity and seasonal trends for gravimetric water content and carbon uptake efficiency for the whole bog. View Full-Text
Keywords: airborne hyperspectral; Compact Airborne Spectrographic Imager (CASI); Shortwave Airborne Spectrographic Imager (SASI); peatlands; normalized difference water index (NDWI); gravimetric water content; carbon uptake; photosynthesis; bog; Mer Bleue airborne hyperspectral; Compact Airborne Spectrographic Imager (CASI); Shortwave Airborne Spectrographic Imager (SASI); peatlands; normalized difference water index (NDWI); gravimetric water content; carbon uptake; photosynthesis; bog; Mer Bleue
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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).
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Arroyo-Mora, J.P.; Kalacska, M.; Soffer, R.J.; Moore, T.R.; Roulet, N.T.; Juutinen, S.; Ifimov, G.; Leblanc, G.; Inamdar, D. Airborne Hyperspectral Evaluation of Maximum Gross Photosynthesis, Gravimetric Water Content, and CO2 Uptake Efficiency of the Mer Bleue Ombrotrophic Peatland. Remote Sens. 2018, 10, 565.

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