Wieneke, S., Ahrends, H., Damm, A., Pinto, F., Stadler, A., Rossini, M. and Rascher, U. (2016). Airborne based spectroscopy of red and far-red sun-induced chlorophyll fluorescence: Implications for improved estimates of gross primary productivity. Remote Sens. Environ., 184. S. 654 - 668. NEW YORK: ELSEVIER SCIENCE INC. ISSN 1879-0704

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Abstract

Remote sensing (RS)'approaches commonly applied to constrain estimates of gross primary production (GPP) employ greenness-based vegetation indices derived from surface reflectance data. Such approaches cannot capture dynamic changes of photosynthesis rates as caused by environmental stress. Further, applied vegetation indices are often affected by background reflectance or saturation effects. Sun. induced chlorophyll fluorescence (F) provides the most direct measure of photosynthesis and has been recently proposed as a new RS approach to improve estimates of GPP and tracing plant stress reactions. This work aims to provide further evidence on the complementary information content of F and its relation to changes in photosynthetic activity compared to traditional RS approaches. We use the airborne imaging spectrometer HyPlant to obtain several F products including red fluorescence (F-687), far-red fluorescence (F-760), F-760 yield (F-760yield) and the ration between F-687 and F-760 (F-ratio). We calculate several vegetation indices indicative for vegetation greenness. We apply a recently proposed F-based semi-mechanistic approach to improve the forward modeling of GPP using F-760 and compare this approach with a traditional one based on vegetation greenness and ground measurements of GPP derived from chamber measurements. In addition, we assess the sensitivity of F-760yield and Fratio for environmental stress. Our results show an improved predictive capability of GPP when using F-760 compared to greenness-based vegetation indices. F-760yield and F-ratio show a strong variability in time and between different crop types suffering from different levels of water shortage, indicating a strong sensitivity of F products for plant stress reactions. We conclude that the new RS approach of F provides complements to the set of commonly applies RS: The use of F-760 improves constraining estimates of GPP while the ratio of red and far-red F shows large potential for tracking spatio-temporal plant adaptation in response to environmental stress conditions. (C) 2016 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license.

Item Type: Journal Article
Creators:
CreatorsEmailORCIDORCID Put Code
Wieneke, S.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Ahrends, H.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Damm, A.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Pinto, F.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Stadler, A.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Rossini, M.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Rascher, U.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
URN: urn:nbn:de:hbz:38-261845
DOI: 10.1016/j.rse.2016.07.025
Journal or Publication Title: Remote Sens. Environ.
Volume: 184
Page Range: S. 654 - 668
Date: 2016
Publisher: ELSEVIER SCIENCE INC
Place of Publication: NEW YORK
ISSN: 1879-0704
Language: English
Faculty: Unspecified
Divisions: Unspecified
Subjects: no entry
Uncontrolled Keywords:
KeywordsLanguage
PHOTOCHEMICAL REFLECTANCE INDEX; NET ECOSYSTEM EXCHANGE; PRIMARY PRODUCTION GPP; VEGETATION INDEXES; PHOTOSYNTHETIC EFFICIENCY; SATELLITE MEASUREMENTS; PRECISION AGRICULTURE; DECIDUOUS FOREST; SPACE; RETRIEVALMultiple languages
Environmental Sciences; Remote Sensing; Imaging Science & Photographic TechnologyMultiple languages
Refereed: Yes
URI: http://kups.ub.uni-koeln.de/id/eprint/26184

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