FLEX-based inferring of terrestrial photosynthesis dynamics for quantifying European vegetation productivity
FLEXINEL aims to leverage data from the FLEX mission to enhance understanding of photosynthesis dynamics and carbon fluxes in European vegetation using advanced modeling and machine learning techniques.
Projectdetails
Introduction
Photosynthesis, the biochemical process by which vegetation harvests sunlight to convert carbon dioxide and water into carbohydrates and O2, fuels all life on Earth and drives the global carbon cycle.
Photosynthetic Process
Although the majority of absorbed light is used for carbon assimilation, a remaining part is lost as heat and dissipated as emissions of solar-induced chlorophyll fluorescence (SIF). SIF, the radiant flux emitted between 650 and 800 nm, is therefore the most direct measurable reporter of photosynthetic machinery in plants.
FLEX Mission Concept
Dedicated to retrieving the full SIF signal emitted across the globe, ESA has selected the FLuorescence EXplorer (FLEX) mission concept as Earth Explorer 8. To be launched in 2024, FLEX will fly in tandem with Copernicus’ Sentinel-3 (S3) and will operate at ideal spectral, spatial, and temporal resolutions.
Current Challenges
We are only at the dawn of uncovering the full SIF potential from space, as so far only a few single SIF bands have been exploited. The key challenge in the upcoming FLEX era will be to explore this unique new source of information and link it to photosynthetic activity.
Proposal Overview
This proposal - named FLEXINEL - is determined to take leadership in exploiting and interpreting the forthcoming FLEX data stream targeting European vegetation productivity and carbon fluxes monitoring. This will be achieved given the state of the art in:
- Plant physiology
- Leaf-canopy-atmosphere radiative transfer mechanisms
- Machine learning
- Image processing
Scientific Advancements
FLEXINEL seeks to advance the science in consolidating relationships between SIF products and complementary S3 vegetation traits, thereby uncovering the role of dynamic vegetative and atmospheric variables given a changing Earth.
Methodology
Together with physically-based modelling, the latest image processing concepts will be applied, such as emulation and cloud computing. FLEX and S3 products will be fed into assimilation systems for quantifying photosynthesis dynamics, and into an operational biosphere model for improving Europe-to-global carbon flux estimation.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 1.999.943 |
Totale projectbegroting | € 1.999.943 |
Tijdlijn
Startdatum | 1-9-2023 |
Einddatum | 31-8-2028 |
Subsidiejaar | 2023 |
Partners & Locaties
Projectpartners
- UNIVERSITAT DE VALENCIApenvoerder
Land(en)
Vergelijkbare projecten binnen European Research Council
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Global assessment of plant photosynthesis optimization for climate change versus enhanced plant productivity
The PHOTOFLUX project aims to enhance understanding of photosynthesis by quantifying energy partitioning in plants using the FLEX satellite's advanced sensors to improve agricultural management and climate resilience.
Hyperspectral Fiber Photometry for Flexible, Multiplexed Optical Measurements of Brain Function
Develop a flexible, commercializable hyperspectral fiber photometry system to enhance neuronal activity measurement and expand applications in neuroscience and medical diagnostics.
Fusing LiDAR Observations with Remote-sensing Analysis for finding “beauty” in the city
The FLORA project aims to create a multidimensional dashboard integrating diverse data sources to enhance urban health and aesthetics, aiding planners in data-driven decision-making for improved quality of life.
Forecasting Global Change Impacts On Ecosystems Using a Unified Plant Functional Spectrum
PLECTRUM aims to enhance trait-based ecology by integrating above- and belowground traits to predict community composition and ecosystem responses to global change using deep learning methods.
Photons and Electrons on the Move
This project aims to investigate nanoscale energy transport and charge separation in photosynthesis using advanced imaging and spectroscopy techniques to enhance artificial photosynthesis and solar technology.
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Intelligente flexibiliteit door geïntegreerde hybride opslagtechnologieën (“FLEXINet”)
FLEXINet ontwikkelt een integraal systeem voor hybride energieopslag in gebouwen, gericht op verduurzaming en flexibiliteit van elektriciteitsvoorzieningen, met sociale acceptatie als kernaspect.
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The project aims to aggregate over 2500 decentralized residential energy units to optimize demand and generation, enabling participation in flexibility markets and reducing CO2 emissions.
BAYesian Inference with FLEXible electronics for biomedical Applications
BAYFLEX aims to develop low-cost, green organic electronics for continuous bio-signal monitoring and classification, enhancing healthcare through innovative flexible AI sensors.
Dynamic Regulation of photosynthEsis in light-Acclimated organisMs
DREAM aims to enhance plant cultivation efficiency by developing innovative sensing technologies and models for optimizing photosynthesis under controlled lighting conditions.
Flexible InteligenT NEar-field Sensing Skins
The FITNESS project aims to develop flexible smart skins using metasurfaces for non-contact touch sensing and far-field communication, enhancing human-robot interaction in robotics and medical applications.