Special Issue "Remote Sensing of Vegetation Fluorescence and Photosynthetic Efficiency"
Deadline for manuscript submissions: closed (30 April 2017)
Prof. Dr. Jose Moreno
Laboratory for Earth Observation, Image Processing Laboratory - Scientific Park, Department of Earth Physics and Thermodynamics, Faculty of Physics, University of Valencia, C/ Dr. Moliner, 50, 46100 Burjassot, Valencia, Spain
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Phone: +34 96 3543112
Fax: +34 96 354 33 85
Interests: optical remote sensing; imaging spectroscopy; vegetation fluorescence; vegetation biophysical parameters; land surface applications; optical reflectance/fluorescence models; retrieval methods; design of future earth observation missions; dynamical vegetation models; calibration/validation field campaigns
Until very recently, all the information about vegetation dynamics acquired from local to regional and global scales by means of remote sensing methods was based on measuring the amount of solar light reflected by the vegetation layer, or emitted as thermal infrared radiation as a function of temperature. Plants also emit light in the form of fluorescence, particularly from chlorophyll, but such emission was too small to be detectable using remote sensing techniques, mostly due to the overlap with the background reflected radiation. While active laser-induced fluorescence has been used for a long time in laboratory and field conditions, the passive measurement of fluorescence induced by solar radiation in natural environmental conditions has been elusive. Technological and methodological improvements have recently been made possible by the measurement of solar-induced vegetation fluorescence by remote sensing methods, in laboratory/field conditions, by means of airborne sensors and even by satellite systems. Some satellite systems, originally intended for atmospheric chemistry measurements and covering the required spectral range at enough spectral resolution to retrieve vegetation fluorescence, have been used as a proof-of-concept, even though they are not optimized for such a purpose. Global vegetation fluorescence maps derived from GOSAT, GOME-2 and other systems have been recently exploited to link fluorescence variability with vegetation phenology, seasonal dynamics, global primary productivity and patterns of changes associated to climate and environmental conditions. The recent selection of the Fluorescence Explorer (FLEX) as the next Earth Explorer mission by the European Space Agency, which will be the first dedicated mission to observe vegetation fluorescence and photosynthesis from space, has consolidated the remote sensing vegetation fluorescence community and creates new aspirations for use of such information in vegetation models and applications. Other space agencies are also planning dedicated vegetation fluorescence missions in the near future.
While vegetation chlorophyll fluorescence is the best remote sensing proxy for photosynthesis, the quantitative retrieval of vegetation photosynthetic efficiency and carbon assimilation through photosynthesis (Gross Primary Productivity) requires additional information about light absorption by chlorophyll, non-photochemical energy dissipation and other canopy biochemical and structural variables. Advanced modelling approaches and new experimental activities have, in the last few years, played a key role in understanding the dynamics of fluorescence emission, the links between environmental variables and fluorescence emission, the coupling of fluorescence information with energy/carbon/water exchanges between the surface and the atmosphere, and global vegetation dynamics as a function of species, photosynthetic pathways, and stress conditions.
Great expectations are now put on vegetation fluorescence as a new type of remote sensing information. The derivation of global maps of vegetation photosynthesis in adequate spatial and temporal resolutions will open unprecedented capabilities in remote sensing of vegetation dynamics. This Special Issue will review the state of the art in the retrieval and exploitation of vegetation fluorescence, and the derivation of actual photosynthetic efficiency of vegetation by means of the synergistic integration of vegetation fluorescence with other related measurements about vegetation status, conditions and functioning.
Articles covering recent research about the following topics are invited for this Special Issue:
• Multiple methods for the retrieval of vegetation fluorescence
• Field methods to measure vegetation fluorescence emission
• Retrieval methods based on solar Fraunhofer lines
• Retrieval methods based on atmospheric terrestrial absorption lines
• Statistical retrieval methods based on spectral decomposition
• Modeling fluorescence emission at leaf, canopy and ecosystem levels
• Usage of vegetation fluorescence information in carbon balance models and carbon cycle studies
• Usage of vegetation fluorescence information in agriculture and forestry
• Usage of vegetation fluorescence information in food security and crop production
• Applications in quantification of vegetation stress and identification of vegetation diseases
• Innovative usages of vegetation fluorescence information
• Active versus passive vegetation fluorescence measurement techniques
• Information content of vegetation fluorescence
• Measurement and quantification of non-photochemical energy dissipation
• Complementary measurements needed to interpret the dynamics of fluorescence emission
• Estimation of actual versus potential photosynthesis rates
• Derivation of photosynthetic efficiency of vegetation from fluorescence measurements
• Methods to estimate Gross Primary Productivity from vegetation fluorescence
• Calibration/validation activities for the derived vegetation fluorescence maps and associated products
Prof. Dr. Jose Moreno
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
• Photosynthetic efficiency of vegetation
• Carbon assimilation by vegetation (GPP)
• Applications in agriculture and forestry
• Vegetation stress conditions
• Global vegetation dynamics