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Special Issue "OPTIMISE: Innovative Optical Tools for Proximal Sensing of Ecophysiological Processes"

A special issue of Remote Sensing (ISSN 2072-4292).

Deadline for manuscript submissions: 30 November 2018

Special Issue Editors

Guest Editor
Dr. Loris Vescovo

Research and Innovation Center, Fondazione E. Mach, Via E. Mach 1, 38010 S. Michele all'Adige (TN), Italy
Website | E-Mail
Phone: +39(0)461615379
Interests: remote sensing; proximal sensing, biogeochemical cycles; grassland ecology; plant traits
Guest Editor
Dr. MaPi Cendrero-Mateo

Laboratory of Earth Observation, University of Valencia, C/ Catedrático Agustín Escardino, nº 9, 46980 Paterna, Valencia, Spain
Website | E-Mail
Phone: (+34)963543110
Interests: chlorophyll fluorescence; point and imaging spectroscopy; plant phenotyping; remote sensing of plant photosynthesis
Guest Editor
Dr. Yves Goulas

Laboratory of Dynamic Meteorology, Ecole polytechnique, Route de Saclay, F91128 Palaiseau, France
Website | E-Mail
Phone: +33 (0) 1 69 33 51 56
Interests: chlorophyll fluorescence; sun-induced fluorescence; laser-induced fluorescence; photosynthesis; remote sensing; radiative transfer
Guest Editor
Dr. Helge Aasen

Crop Science Group, Institute of Agricultural Sciences, Department of Environmental Systems Science, Federal Institute of Technology Zürich (ETHZ), Universitätstrasse 2, 8092 Zürich, Switzerland
Website | E-Mail
Interests: high-resolution (hyper-) spectral and optical sensing; UAVs; laser scanning; upscaling; field phenotyping; precision agriculture; plant traits
Guest Editor
Dr. Alasdair MacArthur

School of GeoSciences, University of Edinburgh, Crew Building, Alexander Crum Brown Road, King's Buildings, Edinburgh EH9 3FF, UK
Website | E-Mail
Phone: 0044 131 6505926
Interests: high resolution spectral and spatial optical Earth observation, UAVs for optical and thermal Earth observation, radiative transfer modelling, optical and thermal cal/val
Guest Editor
Dr. Javier Pacheco-Labrador

Max Planck Institute for Biogeochemistry, Department Biogeochemical Integration, Hans-Knöll-Str. 10, D-07745 Jena, Germany
Website | E-Mail
Interests: spectroradiometry; instrumental characterization; BRDF; hyperspectral; radiative transfer models; biophysical variables of vegetation; functional traits of vegetation; sun induced fluorescence
Guest Editor
Dr. Shari Van Wittenberghe

Laboratory of Earth Observation, University of Valencia, C/ Catedrático José Beltrán, 2, 46980 Paterna, Valencia, Spain
Website | E-Mail
Interests: chlorophyll fluorescence;stress physiology; photoprotection; hyperspectral (point) spectroscopy

Special Issue Information

Dear Colleagues,

The ES1309 (OPTIMISE) Cost Action network brought together scientists working in different domains (spectral information systems; remote sensing with unmanned aerial vehicles; reflectance and fluorescence observations) to explore innovative optical tools for remote and proximal sensing of ecophysiological processes and biogeochemical cycles. The intention was to promote reflectance and fluorescence measurements of ecosystems for Earth system models, validate global satellite observations, investigate the use of innovative spectrometers and UAV platforms to make these measurements, and develop automated wireless communication systems with on-line spectral information storage, quality assurance and data product sharing portals.

This Special Issue is calling for papers reporting the science outputs of such innovative tools, using near-ground optical data of high spectral, temporal and spatial resolutions. From these data, scientists are better able to comprehend the links between plant physiology, ecosystem functioning and biogeochemical cycles, and can provide key validation datasets for space-based remote sensing missions (Sentinels, FLEX).

In this Special Issue, papers are welcome that address the following:

  • Progress made in remote sensing of sun-induced fluorescence (SIF) studies, considering, e.g., fluorescence and reflectance data acquisition protocols, state-of-the-art and performance of instrumentation, retrieval methods, and modelling applications
  • Best practice procedures for UAV spectral sampling
  • Research developments in UAV platforms and optical sensors, able to provide unprecedented opportunities for high spatial, spectral and multi-angular near-ground Earth observations
  • Multi-scale observations adopting empirical and modelling methods to monitor ecosystem functioning and biogeochemical cycles
  • Smart on-line platforms and spectral information systems to assign quality flags, process and analyze optical data along with biophysical and water/carbon flux state variables, to enable data to be shared with other scientific communities and networks.

Dr. Loris Vescovo
Dr. MaPi Cendrero-Mateo
Dr. Yves Goulas
Dr. Helge Aasen
Dr. Alasdair MacArthur
Dr. Javier Pacheco-Labrador
Dr. Shari Van Wittenberghe
Guest Editors

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 1800 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.

Keywords

  • Remote Sensing
  • Proximal Sensing
  • Unmanned Aerial Vehicles
  • Reflectance
  • Fluorescence
  • Spectral Information Systems
  • Biogeochemical Cycles

Published Papers (1 paper)

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Research

Open AccessArticle Potential of Photochemical Reflectance Index for Indicating Photochemistry and Light Use Efficiency in Leaves of European Beech and Norway Spruce Trees
Remote Sens. 2018, 10(8), 1202; https://doi.org/10.3390/rs10081202
Received: 1 May 2018 / Revised: 19 July 2018 / Accepted: 24 July 2018 / Published: 31 July 2018
Cited by 1 | PDF Full-text (2923 KB) | HTML Full-text | XML Full-text | Supplementary Files
Abstract
Hyperspectral reflectance is becoming more frequently used for measuring the functions and productivity of ecosystems. The purpose of this study was to re-evaluate the potential of the photochemical reflectance index (PRI) for evaluating physiological status of plants. This is needed because the reasons
[...] Read more.
Hyperspectral reflectance is becoming more frequently used for measuring the functions and productivity of ecosystems. The purpose of this study was to re-evaluate the potential of the photochemical reflectance index (PRI) for evaluating physiological status of plants. This is needed because the reasons for variation in PRI and its relationships to physiological traits remain poorly understood. We examined the relationships between PRI and photosynthetic parameters in evergreen Norway spruce and deciduous European beech grown in controlled conditions during several consecutive periods of 10–12 days between which the irradiance and air temperature were changed stepwise. These regime changes induced significant changes in foliar biochemistry and physiology. The responses of PRI corresponded particularly to alterations in the actual quantum yield of photosystem II photochemistry (ΦPSII). Acclimation responses of both species led to loss of PRI sensitivity to light use efficiency (LUE). The procedure of measuring PRI at multiple irradiance-temperature conditions has been designed also for testing accuracy of ΔPRI in estimating LUE. A correction mechanism of subtracting daily measured PRI from early morning PRI has been performed to account for differences in photosynthetic pigments between irradiance-temperature regimes. Introducing ΔPRI, which provided a better estimate of non-photochemical quenching (NPQ) compared to PRI, also improved the accuracy of LUE estimation. Furthermore, ΔPRI was able to detect the effect of drought, which is poorly observable from PRI. Full article
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