Universität zu Köln

Schickling, Anke ORCID: 0000-0001-7446-7752, Matveeva, Maria, Damm, Alexander, Schween, Jan H., Wahner, Andreas ORCID: 0000-0001-8948-1928, Graf, Alexander ORCID: 0000-0003-4870-7622, Crewell, Susanne ORCID: 0000-0003-1251-5805 and Rascher, Uwe ORCID: 0000-0002-9993-4588 (2016). Combining Sun-Induced Chlorophyll Fluorescence and Photochemical Reflectance Index Improves Diurnal Modeling of Gross Primary Productivity. Remote Sens., 8 (7). BASEL: MDPI AG. ISSN 2072-4292

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Abstract

Sun-induced chlorophyll fluorescence (F) is a novel remote sensing parameter providing an estimate of actual photosynthetic rates. A combination of this new observable and Monteith's light use efficiency (LUE) concept was suggested for an advanced modeling of gross primary productivity (GPP). In this demonstration study, we evaluate the potential of both F and the more commonly used photochemical reflectance index (PRI) to approximate the LUE term in Monteith's equation and eventually improve the forward modeling of GPP diurnals. Both F and the PRI were derived from ground and airborne based spectrometer measurements over two different crops. We demonstrate that approximating dynamic changes of LUE using F and PRI significantly improves the forward modeling of GPP diurnals. Especially in sugar beet, a changing photosynthetic efficiency during the day was traceable with F and incorporating F in the forward modeling significantly improved the estimation of GPP. Airborne data were projected to produce F and PRI maps for winter wheat and sugar beet fields over the course of one day. We detected a significant variability of both, F and the PRI within one field and particularly between fields. The variability of F and PRI was higher in sugar beet, which also showed a physiological down-regulation of leaf photosynthesis. Our results underline the potential of F to serve as a superior indicator for the actual efficiency of the photosynthetic machinery, which is linked to physiological responses of vegetation.

Item Type:	Article
Creators:	Creators Email ORCID ORCID Put Code Schickling, Anke UNSPECIFIED https://orcid.org/0000-0001-7446-7752 UNSPECIFIED Matveeva, Maria UNSPECIFIED UNSPECIFIED UNSPECIFIED Damm, Alexander UNSPECIFIED UNSPECIFIED UNSPECIFIED Schween, Jan H. UNSPECIFIED UNSPECIFIED UNSPECIFIED Wahner, Andreas UNSPECIFIED https://orcid.org/0000-0001-8948-1928 UNSPECIFIED Graf, Alexander UNSPECIFIED https://orcid.org/0000-0003-4870-7622 UNSPECIFIED Crewell, Susanne UNSPECIFIED https://orcid.org/0000-0003-1251-5805 UNSPECIFIED Rascher, Uwe UNSPECIFIED https://orcid.org/0000-0002-9993-4588 UNSPECIFIED
URN:	urn:nbn:de:hbz:38-271759
Identification Number:	10.3390/rs8070574
Journal or Publication Title:	Remote Sens.
Volume:	8
Number:	7
Date:	2016
Publisher:	MDPI AG
Place of Publication:	BASEL
ISSN:	2072-4292
Language:	English
Faculty:	Faculty of Mathematics and Natural Sciences
Divisions:	Faculty of Mathematics and Natural Sciences > Department of Geosciences > Institute of Geology and Mineralog
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language PHOTOSYNTHETIC EFFICIENCY; SENSITIVITY-ANALYSIS; SPECTROSCOPY DATA; CARBON-DIOXIDE; CANOPY; VEGETATION; SPACE; RETRIEVAL; RADIATION; LIGHT Multiple languages Remote Sensing Multiple languages
Refereed:	Yes
URI:	http://kups.ub.uni-koeln.de/id/eprint/27175