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Tømmervik H, Julitta T, Nilsen L, Park T, Burkart A, Ostapowicz K, Karlsen SR, Parmentier FJ, Pirk N, Bjerke JW. The northernmost hyperspectral FLoX sensor dataset for monitoring of high-Arctic tundra vegetation phenology and Sun-Induced Fluorescence (SIF). Data Brief 2023; 50:109581. [PMID: 37767128 PMCID: PMC10520339 DOI: 10.1016/j.dib.2023.109581] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Revised: 09/05/2023] [Accepted: 09/11/2023] [Indexed: 09/29/2023] Open
Abstract
A hyperspectral field sensor (FloX) was installed in Adventdalen (Svalbard, Norway) in 2019 as part of the Svalbard Integrated Arctic Earth Observing System (SIOS) for monitoring vegetation phenology and Sun-Induced Chlorophyll Fluorescence (SIF) of high-Arctic tundra. This northernmost hyperspectral sensor is located within the footprint of a tower for long-term eddy covariance flux measurements and is an integral part of an automatic environmental monitoring system on Svalbard (AsMovEn), which is also a part of SIOS. One of the measurements that this hyperspectral instrument can capture is SIF, which serves as a proxy of gross primary production (GPP) and carbon flux rates. This paper presents an overview of the data collection and processing, and the 4-year (2019-2021) datasets in processed format are available at: https://thredds.met.no/thredds/catalog/arcticdata/infranor/NINA-FLOX/raw/catalog.html associated with https://doi.org/10.21343/ZDM7-JD72 under a CC-BY-4.0 license. Results obtained from the first three years in operation showed interannual variation in SIF and other spectral vegetation indices including MERIS Terrestrial Chlorophyll Index (MTCI), EVI and NDVI. Synergistic uses of the measurements from this northernmost hyperspectral FLoX sensor, in conjunction with other monitoring systems, will advance our understanding of how tundra vegetation responds to changing climate and the resulting implications on carbon and energy balance.
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Affiliation(s)
- Hans Tømmervik
- Norwegian Institute of Nature Research (NINA), FRAM - High North Centre for Climate and the Environment, Tromsø 9296, Norway
| | - Tommaso Julitta
- JB Hyperspectral Devices, Am Botanishen Garten 33, Düsseldorf 40225, Germany
| | - Lennart Nilsen
- Department of Arctic and Marine Biology, UiT - The Arctic University of Norway, Tromsø 9037, Norway
| | - Taejin Park
- NASA Ames Research Center, Moffett Field, CA 94035, USA
- Bay Area Environmental Research Institute, Moffett Field, CA 940354, USA
| | - Andreas Burkart
- JB Hyperspectral Devices, Am Botanishen Garten 33, Düsseldorf 40225, Germany
| | - Katarzyna Ostapowicz
- Norwegian Institute of Nature Research (NINA), FRAM - High North Centre for Climate and the Environment, Tromsø 9296, Norway
| | | | - Frans-Jan Parmentier
- Department of Geosciences Center for Biogeochemistry in the Anthropocene, University of Oslo, Oslo 0315, Norway
- Department of Physical Geography and Ecosystem Science, Lund University, Lund 223 62, Sweden
| | - Norbert Pirk
- Department of Geosciences Center for Biogeochemistry in the Anthropocene, University of Oslo, Oslo 0315, Norway
| | - Jarle W. Bjerke
- Norwegian Institute of Nature Research (NINA), FRAM - High North Centre for Climate and the Environment, Tromsø 9296, Norway
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2
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Martini D, Sakowska K, Wohlfahrt G, Pacheco-Labrador J, van der Tol C, Porcar-Castell A, Magney TS, Carrara A, Colombo R, El-Madany TS, Gonzalez-Cascon R, Martín MP, Julitta T, Moreno G, Rascher U, Reichstein M, Rossini M, Migliavacca M. Heatwave breaks down the linearity between sun-induced fluorescence and gross primary production. New Phytol 2022; 233:2415-2428. [PMID: 34921419 DOI: 10.1111/nph.17920] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/16/2021] [Accepted: 11/21/2021] [Indexed: 06/14/2023]
Abstract
Sun-induced fluorescence in the far-red region (SIF) is increasingly used as a remote and proximal-sensing tool capable of tracking vegetation gross primary production (GPP). However, the use of SIF to probe changes in GPP is challenged during extreme climatic events, such as heatwaves. Here, we examined how the 2018 European heatwave (HW) affected the GPP-SIF relationship in evergreen broadleaved trees with a relatively invariant canopy structure. To do so, we combined canopy-scale SIF measurements, GPP estimated from an eddy covariance tower, and active pulse amplitude modulation fluorescence. The HW caused an inversion of the photosynthesis-fluorescence relationship at both the canopy and leaf scales. The highly nonlinear relationship was strongly shaped by nonphotochemical quenching (NPQ), that is, a dissipation mechanism to protect from the adverse effects of high light intensity. During the extreme heat stress, plants experienced a saturation of NPQ, causing a change in the allocation of energy dissipation pathways towards SIF. Our results show the complex modulation of the NPQ-SIF-GPP relationship at an extreme level of heat stress, which is not completely represented in state-of-the-art coupled radiative transfer and photosynthesis models.
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Affiliation(s)
- David Martini
- Max Planck Institute for Biogeochemistry, 07745, Jena, Germany
| | - Karolina Sakowska
- Institute of BioEconomy, National Research Council (IBE-CNR), 38010, San Michele all'Adige (TN), Italy
| | - Georg Wohlfahrt
- Department of Ecology, University of Innsbruck, Sternwartestrasse 15, 6020, Innsbruck, Austria
| | | | - Christiaan van der Tol
- Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, 7500 AE, Enschede, the Netherlands
| | - Albert Porcar-Castell
- Optics of Photosynthesis Laboratory, Institute for Atmospheric and Earth System Research (INAR/Forest Sciences) and Viikki Plant Science Center, University of Helsinki, Finland
| | - Troy S Magney
- Department of Plant Sciences, University of California, Davis, CA, 95616, USA
| | - Arnaud Carrara
- Centro De Estudios Ambientales Del Mediterráneo, 46980, Valencia, Spain
| | - Roberto Colombo
- Earth and Environmental Sciences Department, University of Milano-Bicocca, Milan, Italy
| | | | - Rosario Gonzalez-Cascon
- Department of Environment, National Institute for Agriculture and Food Research and Technology (INIA), 28040, Madrid, Spain
| | - María Pilar Martín
- Environmental Remote Sensing and Spectroscopy Laboratory (SpecLab), Spanish National Research Council (CSIC), 28037, Madrid, Spain
| | | | | | - Uwe Rascher
- Institute of Bio- and Geosciences, IBG-2: Plant Sciences, Forschungszentrum Jülich, Jülich, Germany
| | | | - Micol Rossini
- Earth and Environmental Sciences Department, University of Milano-Bicocca, Milan, Italy
| | - Mirco Migliavacca
- Max Planck Institute for Biogeochemistry, 07745, Jena, Germany
- European Commission, Joint Research Centre, Ispra (VA), 21027, Italy
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3
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Campbell P, Middleton E, Huemmrich K, Ward L, Julitta T, Yang P, van der Tol C, Daughtry C, Russ A, Alfieri J, Kustas W. Scaling photosynthetic function and CO 2 dynamics from leaf to canopy level for maize - dataset combining diurnal and seasonal measurements of vegetation fluorescence, reflectance and vegetation indices with canopy gross ecosystem productivity. Data Brief 2021; 39:107600. [PMID: 34901341 PMCID: PMC8640226 DOI: 10.1016/j.dib.2021.107600] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Revised: 11/05/2021] [Accepted: 11/16/2021] [Indexed: 11/28/2022] Open
Abstract
Recent advances in leaf fluorescence measurements and canopy proximal remote sensing currently enable the non-destructive collection of rich diurnal and seasonal time series, which are required for monitoring vegetation function at the temporal and spatial scales relevant to the natural dynamics of photosynthesis. Remote sensing assessments of vegetation function have traditionally used actively excited foliar chlorophyll fluorescence measurements, canopy optical reflectance data and vegetation indices (VIs), and only recently passive solar induced chlorophyll fluorescence (SIF) measurements. In general, reflectance data are more sensitive to the seasonal variations in canopy chlorophyll content and foliar biomass, while fluorescence observations more closely relate to the dynamic changes in plant photosynthetic function. With this dataset we link leaf level actively excited chlorophyll fluorescence, canopy proximal reflectance and SIF, with eddy covariance measurements of gross ecosystem productivity (GEP). The dataset was collected during the 2017 growing season on maize, using three automated systems (i.e., Monitoring Pulse-Amplitude-Modulation fluorimeter, Moni-PAM; Fluorescence Box, FloX; and from eddy covariance tower). The data were quality checked, filtered and collated to a common 30 minutes timestep. We derived vegetation indices related to canopy functioning (e.g., Photochemical Reflectance Index, PRI; Normalized Difference Vegetation Index, NDVI; Chlorophyll Red-edge, Clre) to investigate how SIF and VIs can be coupled for monitoring vegetation photosynthesis. The raw datasets and the filtered and collated data are provided to enable new processing and analyses.
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Affiliation(s)
- Petya Campbell
- University of Maryland Baltimore County, MD, USA.,NASA Goddard Space and Flight Center, Greenbelt, MD, USA
| | | | - Karl Huemmrich
- University of Maryland Baltimore County, MD, USA.,NASA Goddard Space and Flight Center, Greenbelt, MD, USA
| | - Lauren Ward
- NASA Goddard Space and Flight Center, Greenbelt, MD, USA.,University of Hawai'i at Mañoa, Hawai'i, USA
| | | | - Peiqi Yang
- University of Twente, Twente, the Netherland
| | | | | | - Andrew Russ
- USDA Agricultural Research Center, Beltsville, MD, USA
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Naethe P, Delaney M, Julitta T. Changes of NOx in urban air detected with monitoring VIS-NIR field spectrometer during the coronavirus pandemic: A case study in Germany. Sci Total Environ 2020; 748:141286. [PMID: 32814287 PMCID: PMC7383166 DOI: 10.1016/j.scitotenv.2020.141286] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/04/2020] [Revised: 07/23/2020] [Accepted: 07/25/2020] [Indexed: 05/26/2023]
Abstract
The global outbreak of the coronavirus pandemic has led to a significant reduction of traffic and traffic-related urban air pollution. One important pollutant in this context is NO2. Sudden change in NO2 emissions related to reduction of urban traffic due to infection protection measures can be detected in Düsseldorf, Germany with continuous measurements of down-welling light with a RoX automated field-spectrometer. In comparison to a nearby reference instrument, a waveband around 590 nm was identified as significant for the retrieval in the VIS-NIR spectral range. A decision tree based on principal components which were decomposed from down-welling radiance spectra has been the most robust approach to retrieved NO2 values. Better differentiation of the NO2 value-range is achieved with a partial least square regression model. The results suggest that traffic-related changes of NOx pollution in urban air can be detected through continuous down-welling radiance measurements with inexpensive automated field-spectrometer systems.
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Affiliation(s)
- Paul Naethe
- Rhine-Waal University of Applied Sciences, Faculty of Communication and Environment, Friedrich-Heinrich-Allee 25, 47475 Kamp-Lintfort, Germany; JB Hyperspectral Devices, Am Botanischen Garten 33, 40225 Düsseldorf, Germany.
| | - Michael Delaney
- Rhine-Waal University of Applied Sciences, Faculty of Communication and Environment, Friedrich-Heinrich-Allee 25, 47475 Kamp-Lintfort, Germany
| | - Tommaso Julitta
- JB Hyperspectral Devices, Am Botanischen Garten 33, 40225 Düsseldorf, Germany
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5
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Colombo R, Celesti M, Bianchi R, Campbell PKE, Cogliati S, Cook BD, Corp LA, Damm A, Domec JC, Guanter L, Julitta T, Middleton EM, Noormets A, Panigada C, Pinto F, Rascher U, Rossini M, Schickling A. Variability of sun-induced chlorophyll fluorescence according to stand age-related processes in a managed loblolly pine forest. Glob Chang Biol 2018; 24:2980-2996. [PMID: 29460467 DOI: 10.1111/gcb.14097] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/11/2017] [Revised: 02/02/2018] [Accepted: 02/02/2018] [Indexed: 06/08/2023]
Abstract
Leaf fluorescence can be used to track plant development and stress, and is considered the most direct measurement of photosynthetic activity available from remote sensing techniques. Red and far-red sun-induced chlorophyll fluorescence (SIF) maps were generated from high spatial resolution images collected with the HyPlant airborne spectrometer over even-aged loblolly pine plantations in North Carolina (United States). Canopy fluorescence yield (i.e., the fluorescence flux normalized by the light absorbed) in the red and far-red peaks was computed. This quantifies the fluorescence emission efficiencies that are more directly linked to canopy function compared to SIF radiances. Fluorescence fluxes and yields were investigated in relation to tree age to infer new insights on the potential of those measurements in better describing ecosystem processes. The results showed that red fluorescence yield varies with stand age. Young stands exhibited a nearly twofold higher red fluorescence yield than mature forest plantations, while the far-red fluorescence yield remained constant. We interpreted this finding in a context of photosynthetic stomatal limitation in aging loblolly pine stands. Current and future satellite missions provide global datasets of SIF at coarse spatial resolution, resulting in intrapixel mixture effects, which could be a confounding factor for fluorescence signal interpretation. To mitigate this effect, we propose a surrogate of the fluorescence yield, namely the Canopy Cover Fluorescence Index (CCFI) that accounts for the spatial variability in canopy structure by exploiting the vegetation fractional cover. It was found that spatial aggregation tended to mask the effective relationships, while the CCFI was still able to maintain this link. This study is a first attempt in interpreting the fluorescence variability in aging forest stands and it may open new perspectives in understanding long-term forest dynamics in response to future climatic conditions from remote sensing of SIF.
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Affiliation(s)
- Roberto Colombo
- Remote Sensing of Environmental Dynamics Laboratory, DISAT, University of Milano-Bicocca, Milan, Italy
| | - Marco Celesti
- Remote Sensing of Environmental Dynamics Laboratory, DISAT, University of Milano-Bicocca, Milan, Italy
| | | | - Petya K E Campbell
- Joint Center for Earth Systems Technology, University of Maryland Baltimore County, Baltimore, MD, USA
| | - Sergio Cogliati
- Remote Sensing of Environmental Dynamics Laboratory, DISAT, University of Milano-Bicocca, Milan, Italy
| | - Bruce D Cook
- Biospheric Sciences Laboratory, NASA/GSFC, Greenbelt, MD, USA
| | | | - Alexander Damm
- Remote Sensing Laboratories, University of Zurich, Zurich, Switzerland
- Department of Surface Waters - Research and Management, Eawag, Swiss Federal Institute of Aquatic Science and Technology, Dübendorf, Switzerland
| | - Jean-Christophe Domec
- Bordeaux Sciences Agro, UMR 1391 INRA-ISPA, Gradignan Cedex, France
- Nicholas School of the Environment, Duke University, Durham, NC, USA
| | - Luis Guanter
- Helmholtz Centre Potsdam, German Research Center for Geosciences (GFZ), Potsdam, Germany
| | - Tommaso Julitta
- Remote Sensing of Environmental Dynamics Laboratory, DISAT, University of Milano-Bicocca, Milan, Italy
| | | | - Asko Noormets
- Department of Forestry & Environmental Resources, North Carolina State University, Raleigh, NC, USA
| | - Cinzia Panigada
- Remote Sensing of Environmental Dynamics Laboratory, DISAT, University of Milano-Bicocca, Milan, Italy
| | - Francisco Pinto
- Institute of Bio and Geosciences, IBG-2: Plant Sciences, Forschungszentrum Jülich GmbH, Jülich, Germany
- Global Wheat Program, International Maize and Wheat Improvement Center (CIMMYT), Mexico City, Mexico
| | - Uwe Rascher
- Institute of Bio and Geosciences, IBG-2: Plant Sciences, Forschungszentrum Jülich GmbH, Jülich, Germany
| | - Micol Rossini
- Remote Sensing of Environmental Dynamics Laboratory, DISAT, University of Milano-Bicocca, Milan, Italy
| | - Anke Schickling
- Institute of Bio and Geosciences, IBG-2: Plant Sciences, Forschungszentrum Jülich GmbH, Jülich, Germany
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6
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Migliavacca M, Perez-Priego O, Rossini M, El-Madany TS, Moreno G, van der Tol C, Rascher U, Berninger A, Bessenbacher V, Burkart A, Carrara A, Fava F, Guan JH, Hammer TW, Henkel K, Juarez-Alcalde E, Julitta T, Kolle O, Martín MP, Musavi T, Pacheco-Labrador J, Pérez-Burgueño A, Wutzler T, Zaehle S, Reichstein M. Plant functional traits and canopy structure control the relationship between photosynthetic CO 2 uptake and far-red sun-induced fluorescence in a Mediterranean grassland under different nutrient availability. New Phytol 2017; 214:1078-1091. [PMID: 28181244 DOI: 10.1111/nph.14437] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/06/2016] [Accepted: 12/08/2016] [Indexed: 06/06/2023]
Abstract
Sun-induced fluorescence (SIF) in the far-red region provides a new noninvasive measurement approach that has the potential to quantify dynamic changes in light-use efficiency and gross primary production (GPP). However, the mechanistic link between GPP and SIF is not completely understood. We analyzed the structural and functional factors controlling the emission of SIF at 760 nm (F760 ) in a Mediterranean grassland manipulated with nutrient addition of nitrogen (N), phosphorous (P) or nitrogen-phosphorous (NP). Using the soil-canopy observation of photosynthesis and energy (SCOPE) model, we investigated how nutrient-induced changes in canopy structure (i.e. changes in plant forms abundance that influence leaf inclination distribution function, LIDF) and functional traits (e.g. N content in dry mass of leaves, N%, Chlorophyll a+b concentration (Cab) and maximum carboxylation capacity (Vcmax )) affected the observed linear relationship between F760 and GPP. We conclude that the addition of nutrients imposed a change in the abundance of different plant forms and biochemistry of the canopy that controls F760 . Changes in canopy structure mainly control the GPP-F760 relationship, with a secondary effect of Cab and Vcmax . In order to exploit F760 data to model GPP at the global/regional scale, canopy structural variability, biodiversity and functional traits are important factors that have to be considered.
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Affiliation(s)
- Mirco Migliavacca
- Max Planck Institute for Biogeochemistry, Hans Knöll Straße 10, Jena, D-07745, Germany
| | - Oscar Perez-Priego
- Max Planck Institute for Biogeochemistry, Hans Knöll Straße 10, Jena, D-07745, Germany
| | - Micol Rossini
- University of Milano Bicocca, Piazza della Scienza 1, Milan, 20126, Italy
| | - Tarek S El-Madany
- Max Planck Institute for Biogeochemistry, Hans Knöll Straße 10, Jena, D-07745, Germany
| | - Gerardo Moreno
- INDEHESA-Forest Research Group, Universidad de Extremadura, Plasencia, 10600, Spain
| | - Christiaan van der Tol
- Department of Water Resources, Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede, 7500 AE, the Netherlands
| | - Uwe Rascher
- Institute of Bio- and Geosciences, IBG-2: Plant Sciences, Forschungszentrum Jülich GmbH, Leo-Brandt-Str., Jülich, 52425, Germany
| | - Anna Berninger
- Max Planck Institute for Biogeochemistry, Hans Knöll Straße 10, Jena, D-07745, Germany
| | - Verena Bessenbacher
- Max Planck Institute for Biogeochemistry, Hans Knöll Straße 10, Jena, D-07745, Germany
| | - Andreas Burkart
- Institute of Bio- and Geosciences, IBG-2: Plant Sciences, Forschungszentrum Jülich GmbH, Leo-Brandt-Str., Jülich, 52425, Germany
| | - Arnaud Carrara
- Fundación Centro de Estudios Ambientales del Mediterráneo (CEAM), Valencia, 46980, Spain
| | - Francesco Fava
- International Livestock Research Institute, Naivasha Rd, Nairobi, 30709, Kenya
| | - Jin-Hong Guan
- Max Planck Institute for Biogeochemistry, Hans Knöll Straße 10, Jena, D-07745, Germany
- State Key Laboratory of Soil Erosion and Dryland Farming on Loess Plateau, Northwest A&F University, Yangling, Shaanxi, 712100, China
| | - Tiana W Hammer
- Max Planck Institute for Biogeochemistry, Hans Knöll Straße 10, Jena, D-07745, Germany
| | - Kathrin Henkel
- Max Planck Institute for Biogeochemistry, Hans Knöll Straße 10, Jena, D-07745, Germany
| | | | - Tommaso Julitta
- University of Milano Bicocca, Piazza della Scienza 1, Milan, 20126, Italy
| | - Olaf Kolle
- Max Planck Institute for Biogeochemistry, Hans Knöll Straße 10, Jena, D-07745, Germany
| | - M Pilar Martín
- Environmental Remote Sensing and Spectroscopy Laboratory (SpecLab), Institute of Economics, Geography and Demography (IEGD), Spanish National Research Council (CSIC), Albasanz 26-28, Madrid, 28037, Spain
| | - Talie Musavi
- Max Planck Institute for Biogeochemistry, Hans Knöll Straße 10, Jena, D-07745, Germany
| | - Javier Pacheco-Labrador
- Environmental Remote Sensing and Spectroscopy Laboratory (SpecLab), Institute of Economics, Geography and Demography (IEGD), Spanish National Research Council (CSIC), Albasanz 26-28, Madrid, 28037, Spain
| | | | - Thomas Wutzler
- Max Planck Institute for Biogeochemistry, Hans Knöll Straße 10, Jena, D-07745, Germany
| | - Sönke Zaehle
- Max Planck Institute for Biogeochemistry, Hans Knöll Straße 10, Jena, D-07745, Germany
| | - Markus Reichstein
- Max Planck Institute for Biogeochemistry, Hans Knöll Straße 10, Jena, D-07745, Germany
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7
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Rascher U, Alonso L, Burkart A, Cilia C, Cogliati S, Colombo R, Damm A, Drusch M, Guanter L, Hanus J, Hyvärinen T, Julitta T, Jussila J, Kataja K, Kokkalis P, Kraft S, Kraska T, Matveeva M, Moreno J, Muller O, Panigada C, Pikl M, Pinto F, Prey L, Pude R, Rossini M, Schickling A, Schurr U, Schüttemeyer D, Verrelst J, Zemek F. Sun-induced fluorescence - a new probe of photosynthesis: First maps from the imaging spectrometer HyPlant. Glob Chang Biol 2015; 21:4673-84. [PMID: 26146813 DOI: 10.1111/gcb.13017] [Citation(s) in RCA: 68] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/29/2014] [Accepted: 05/26/2015] [Indexed: 05/27/2023]
Abstract
Variations in photosynthesis still cause substantial uncertainties in predicting photosynthetic CO2 uptake rates and monitoring plant stress. Changes in actual photosynthesis that are not related to greenness of vegetation are difficult to measure by reflectance based optical remote sensing techniques. Several activities are underway to evaluate the sun-induced fluorescence signal on the ground and on a coarse spatial scale using space-borne imaging spectrometers. Intermediate-scale observations using airborne-based imaging spectroscopy, which are critical to bridge the existing gap between small-scale field studies and global observations, are still insufficient. Here we present the first validated maps of sun-induced fluorescence in that critical, intermediate spatial resolution, employing the novel airborne imaging spectrometer HyPlant. HyPlant has an unprecedented spectral resolution, which allows for the first time quantifying sun-induced fluorescence fluxes in physical units according to the Fraunhofer Line Depth Principle that exploits solar and atmospheric absorption bands. Maps of sun-induced fluorescence show a large spatial variability between different vegetation types, which complement classical remote sensing approaches. Different crop types largely differ in emitting fluorescence that additionally changes within the seasonal cycle and thus may be related to the seasonal activation and deactivation of the photosynthetic machinery. We argue that sun-induced fluorescence emission is related to two processes: (i) the total absorbed radiation by photosynthetically active chlorophyll; and (ii) the functional status of actual photosynthesis and vegetation stress.
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Affiliation(s)
- U Rascher
- Institute of Bio- and Geosciences, IBG-2: Plant Sciences, Forschungszentrum Jülich GmbH, Leo-Brandt-Str., 52425, Jülich, Germany
| | - L Alonso
- Department of Earth Physics and Thermodynamics, University of Valencia, Dr Moliner 50 46100 Burjassot, Valencia, Spain
| | - A Burkart
- Institute of Bio- and Geosciences, IBG-2: Plant Sciences, Forschungszentrum Jülich GmbH, Leo-Brandt-Str., 52425, Jülich, Germany
| | - C Cilia
- Institute of Bio- and Geosciences, IBG-2: Plant Sciences, Forschungszentrum Jülich GmbH, Leo-Brandt-Str., 52425, Jülich, Germany
- Remote Sensing of Environmental Dynamics Lab, DISAT, Università degli Studi Milano-Bicocca, Milano, Italy
| | - S Cogliati
- Remote Sensing of Environmental Dynamics Lab, DISAT, Università degli Studi Milano-Bicocca, Milano, Italy
| | - R Colombo
- Remote Sensing of Environmental Dynamics Lab, DISAT, Università degli Studi Milano-Bicocca, Milano, Italy
| | - A Damm
- Remote Sensing Laboratories, University of Zurich, Winterthurerstrasse 190, 8057, Zurich, Switzerland
| | - M Drusch
- European Space Agency (ESA), ESTEC, Keplerlaan 1, 2200 AG, Noordwijk, the Netherlands
| | - L Guanter
- Institute for Space Sciences, Free University of Berlin, Carl-Heinrich-Becker-Weg 6-10, 12165, Berlin, Germany
| | - J Hanus
- Global Change Research Centre AS CR, Bělidla 986/4a, 603 00, Brno, Czech Republic
| | - T Hyvärinen
- Specim Spectral Imaging Ltd., Teknologiantie 18A, 90590, Oulu, Finland
| | - T Julitta
- Remote Sensing of Environmental Dynamics Lab, DISAT, Università degli Studi Milano-Bicocca, Milano, Italy
| | - J Jussila
- Specim Spectral Imaging Ltd., Teknologiantie 18A, 90590, Oulu, Finland
| | - K Kataja
- Specim Spectral Imaging Ltd., Teknologiantie 18A, 90590, Oulu, Finland
| | - P Kokkalis
- Institute for Astronomy, Astrophysics, Space Applications and Remote Sensing, National Observatory of Athens, 15236, Athens, Greece
| | - S Kraft
- European Space Agency (ESA), ESTEC, Keplerlaan 1, 2200 AG, Noordwijk, the Netherlands
| | - T Kraska
- Field Lab Campus Klein-Altendorf, Agricultural Faculty, University of Bonn, Klein-Altendorf 3, 53359, Rheinbach, Germany
| | - M Matveeva
- Institute of Bio- and Geosciences, IBG-2: Plant Sciences, Forschungszentrum Jülich GmbH, Leo-Brandt-Str., 52425, Jülich, Germany
| | - J Moreno
- Department of Earth Physics and Thermodynamics, University of Valencia, Dr Moliner 50 46100 Burjassot, Valencia, Spain
| | - O Muller
- Institute of Bio- and Geosciences, IBG-2: Plant Sciences, Forschungszentrum Jülich GmbH, Leo-Brandt-Str., 52425, Jülich, Germany
| | - C Panigada
- Remote Sensing of Environmental Dynamics Lab, DISAT, Università degli Studi Milano-Bicocca, Milano, Italy
| | - M Pikl
- Global Change Research Centre AS CR, Bělidla 986/4a, 603 00, Brno, Czech Republic
| | - F Pinto
- Institute of Bio- and Geosciences, IBG-2: Plant Sciences, Forschungszentrum Jülich GmbH, Leo-Brandt-Str., 52425, Jülich, Germany
| | - L Prey
- Institute of Bio- and Geosciences, IBG-2: Plant Sciences, Forschungszentrum Jülich GmbH, Leo-Brandt-Str., 52425, Jülich, Germany
| | - R Pude
- Field Lab Campus Klein-Altendorf, Agricultural Faculty, University of Bonn, Klein-Altendorf 3, 53359, Rheinbach, Germany
| | - M Rossini
- Remote Sensing of Environmental Dynamics Lab, DISAT, Università degli Studi Milano-Bicocca, Milano, Italy
| | - A Schickling
- Institute of Bio- and Geosciences, IBG-2: Plant Sciences, Forschungszentrum Jülich GmbH, Leo-Brandt-Str., 52425, Jülich, Germany
| | - U Schurr
- Institute of Bio- and Geosciences, IBG-2: Plant Sciences, Forschungszentrum Jülich GmbH, Leo-Brandt-Str., 52425, Jülich, Germany
| | - D Schüttemeyer
- European Space Agency (ESA), ESTEC, Keplerlaan 1, 2200 AG, Noordwijk, the Netherlands
| | - J Verrelst
- Department of Earth Physics and Thermodynamics, University of Valencia, Dr Moliner 50 46100 Burjassot, Valencia, Spain
| | - F Zemek
- Global Change Research Centre AS CR, Bělidla 986/4a, 603 00, Brno, Czech Republic
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Anderson K, Rossini M, Pacheco-Labrador J, Balzarolo M, Mac Arthur A, Fava F, Julitta T, Vescovo L. Inter-comparison of hemispherical conical reflectance factors (HCRF) measured with four fibre-based spectrometers. Opt Express 2013; 21:605-617. [PMID: 23388953 DOI: 10.1364/oe.21.000605] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/01/2023]
Abstract
We describe the results of an experiment designed to compare the radiometric performance of four different spectroradiometers in ideal field conditions. A carefully designed experiment where instruments were simultaneously triggered was used to measure the Hemispherical Conical Reflectance Factors (HCRF) of four targets of varying reflectance. The experiment was in two parts. Stage 1 covered a 2 hour period finishing at solar noon, where 50 measurements of the targets were collected in sequence. Stage 2 comprised 10 rapid sequential measurements over each target. We applied a method for normalising full width half maximum (FWHM) differences between the instruments, which was a source of variability in the raw data. The work allowed us to determine data reproducibility, and we found that lower-cost instruments (Ocean Optics and PP Systems) produced data of similar radiometric quality to those manufactured by Analytical Spectral Devices (ASD -here we used the ASD FieldSpec Pro) in the spectral range 400-850 nm, which is the most significant region for research communities interested in measuring vegetation dynamics. Over the longer time-series there were changes in HCRF caused by the structural and spectral characteristics of some targets.
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Affiliation(s)
- K Anderson
- Environment and Sustainability Institute, University of Exeter, Cornwall Campus, UK.
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