FLEX-based inferring of terrestrial photosynthesis dynamics for quantifying European vegetation productivity
ERC (European Research Council)HORIZON-ERCID: 101086622
EC Contribution
€19,999
Consortium Size
1 orgs
Start Year
2023
▶Summary
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. 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. Dedicated to retrieve 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. 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. 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, given state of the art in plant physiology, leaf-canopy-atmosphere radiative transfer mechanisms, machine learning and image processing. 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. Together with physically-based modelling, 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.
Consortium (1)
Project Results (34)
Source: CORDIS, the EU research results database.
▶Publications (34)
A User-Friendly Google Earth Engine Web Application for Vegetation Trait Mapping and Time Series Analysis From Sentinel-2 and Sentinel-3 Imagery
Emma De Clerck, Jochem Verrelst
Assessment of PlanetScope Spectral Data for Estimation of Peanut Leaf Area Index Using Machine Learning and Statistical Methods
Michael Ekwe, Hansanee Fernando, Godstime James, Oluseun Adeluyi, Jochem Verrelst, Angela Kross
Epistemic and aleatoric uncertainty in optical vegetation trait retrieval: Concepts, Methods, and Outlook
Jochem Verrelst, José Luis García-Soria, Pablo Reyes-Muñoz, Emma De Clerck, Miguel Morata, Juan Pablo Rivera-Caicedo
High-spatial-resolution gross primary production estimation from Sentinel-2 reflectance using hybrid Gaussian processes modeling
Emma De Clerck, Pablo Reyes-Muñoz, Egor Prikaziuk, Dávid D.Kovács, Jochem Verrelst
Machine Learning for Satellite Solar-Induced Fluorescence: Retrieval, Reconstruction, Downscaling, and Applications
Jochem Verrelst, Yuxin Zhang, Miguel Morata, Emma De Clerck, Leizhen Liu
Quantifying angular sensitivity and synergistic effects of SIF and vegetation indices for robust winter wheat yield estimation
Huiren Tian, Yongyuan Gao, Yuxin Zhang, Hongwei Li, Jochem Verrelst, Yelu Zeng
Bridging Gaps in Aquatic Remote Sensing Reflectance Validation: Pixel Boundary Effect and Its Induced Errors
Shuling Xiao, Chunguang Lyu, Chi Zhang, Jochem Verrelst, Ling Wang, Yunfei Shi, Yanmei Lyu, Haochuan Shi
Enhancing Plant Ecological Unit Mapping Accuracy with Auxiliary Data from Landsat-8 in a Heterogeneous Rangeland
Masoumeh Aghababaei, Ataollah Ebrahimi, Ali Asghar Naghipour, Esmaeil Asadi, Jochem Verrelst
Evaluation and improvement of Copernicus HR-VPP product for crop phenology monitoring
Egor Prikaziuk, Cláudio F. Silva, Gerbrand Koren, Zhanzhang Cai, Katja Berger, Santiago Belda, Lukas Valentin Graf, Enrico Tomelleri, Jochem Verrelst, Joel Segarra, Dessislava Ganeva
GROUNDED EO: Data-driven Sentinel-2 LAI and FAPAR retrieval using Gaussian processes trained with extensive fiducial reference measurements
Luke A. Brown, Richard Fernandes, Jochem Verrelst, Harry Morris, Najib Djamai, Pablo Reyes-Muñoz, Dávid D.Kovács, Courtney Meier
Hyperspectral imaging for precision nitrogen management: A comparative exploration of two methodological approaches to estimate optimal nitrogen rate in processing tomato
Vito Aurelio Cerasola, Francesco Orsini, Giuseppina Pennisi, Gaia Moretti, Stefano Bona, Francesco Mirone, Jochem Verrelst, Katja Berger, Giorgio Gianquinto
Monitoring mangrove traits through optical Earth observation: Towards spatio-temporal scalability using cloud-based Sentinel-2 continuous time series
Nguyen An Binh, Leon T. Hauser, Matías Salinero-Delgado, Pham Viet Hoa, Giang Thi Phuong Thao, Jochem Verrelst
On the potential of principal component analysis for the reconstruction of full-spectrum SIF emission and emulated airborne-to-satellite upscaling
Miguel Morata, Bastian Siegmann, José Luis García-Soria, Juan Pablo Rivera-Caicedo, Jochem Verrelst
Optimizing Empirical and Hybrid Modeling for Advanced Canopy Chlorophyll and Nitrogen Retrieval Technique Using EnMAP Data
Mir Md Tasnim Alam, Anita Simic Milas, Jochem Verrelst, Qing Tian, Alia Soleil Kripal, Henry Poku Osei, Md Atiqur Rahman
Optimizing hybrid models for forest leaf and canopy trait mapping from EnMAP hyperspectral data with limited field samples
Nizom Farmonov, Susanne Walden, Eric Martinée, Christian Lampei, Mona Schreiber, Lars Opgenoorth, Anjaharinony Andry Ny Aina Rakotomalala, Tobias Müller, Nina Farwig, Stefan Pinkert, Lucy Saueressig
PyEOGPR: A Python package for vegetation trait mapping with Gaussian Process Regression on Earth observation cloud platforms
Dávid D. Kovács, Emma De Clerck, Jochem Verrelst
Retrieval of crop traits using PROSAIL-based hybrid radiative transfer model and EnMAP hyperspectral data
Prachi Singh, Prashant K. Srivastava, Prakash Kumar Jha, Jochem Verrelst, Pashupati Nath Singh, Rajendra Prasad
RTM Surrogate Modeling in Optical Remote Sensing: A Review of Emulation for Vegetation and Atmosphere Applications
Jochem Verrelst, Miguel Morata, José Luis García-Soria, Yilin Sun, Jianbo Qi, Juan Pablo Rivera-Caicedo
Scaling-up plant chlorophyll retrieval from proximal to UAV-borne hyperspectral data using a Gaussian process hybrid model
Rabi N. Sahoo, R. G. Rejith, Tarun Kondraju, Rajeev Ranjan, Amrita Bhandari, Shalini Gakhar, Mohd Asim, Jochem Verrelst, Ramanjit Kaur, Teekam Singh, Anchal Dass
Spatiotemporal Analysis of Water Quality Conditions in High-Andean Lakes Based on Satellite Indicators Using Sentinel 2 and Landsat 8/9 Images
Valeria Fernanda Flores Cantos, Patricio X. Lozano Rodríguez, Johanna Elizabeth Ayala Izurieta, Carlos Arturo Jara Santillán, Antonio Ruiz-Verdú, Jochem Verrelst, Peter L. M. Goethals, Jesús Delegido
Tower-to-global upscaling of terrestrial carbon fluxes driven by MODIS-LAI, Sentinel-3-LAI and ERA5-Land data
Pablo Reyes-Muñoz, Dávid D.Kovács, Jochem Verrelst
Estimating rainfed groundnut’s leaf area index using Sentinel-2 based on Machine Learning Regression Algorithms and Empirical Models
Michael Chibuike Ekwe, Oluseun Adeluyi, Jochem Verrelst, Angela Kross, Caleb Akoji Odiji
Estimation of wheat biophysical variables through UAV hyperspectral remote sensing using machine learning and radiative transfer models
Rabi N. Sahoo, R.G. Rejith, Shalini Gakhar, Jochem Verrelst, Rajeev Ranjan, Tarun Kondraju, Mahesh C. Meena, Joydeep Mukherjee, Anchal Dass, Sudhir Kumar, Mahesh Kumar, Raju Dhandapani, Viswanathan Ch
Evaluating epistemic uncertainty estimation strategies in vegetation trait retrieval using hybrid models and imaging spectroscopy data
José Luis García-Soria, Miguel Morata, Katja Berger, Ana Belén Pascual-Venteo, Juan Pablo Rivera-Caicedo, Jochem Verrelst
How global sensitive is the AquaCrop model to input parameters? A case study of silage maize yield on a regional scale
Elahe Akbari, Ali Darvishi Boloorani, Jochem Verrelst, Stefano Pignatti, Najmeh Neysani Samany, Saeid Soufizadeh, Saeid Hamzeh
In-season forecasting of within-field grain yield from Sentinel-2 time series data
Eatidal Amin, Luca Pipia, Santiago Belda, Gregor Perich, Lukas Valentin Graf, Helge Aasen, Shari Van Wittenberghe, José Moreno, Jochem Verrelst
Mapping mangrove functional traits from Sentinel-2 imagery based on hybrid models coupled with active learning strategies
Mingming Jia, Xianxian Guo, Lin Zhang, Mao Wang, Wenqing Wang, Chunyan Lu, Chuanpeng Zhao, Rong Zhang, Ming Wang, Hengqi Yan, Zongming Wang, Jochem Verrelst
Monitoring Biophysical Variables (FVC, LAI, LCab, and CWC) and Cropland Dynamics at Field Scale Using Sentinel-2 Time Series
Reza Hassanpour, Abolfazl Majnooni-Heris, Ahmad Fakheri Fard, Jochem Verrelst
Monitoring cropland LAI using Gaussian Process Regression and sentinel – 2 surface reflectance data in Google Earth Engine
Rabi N. Sahoo, Tarun Kondraju, R. G. Rejith, Jochem Verrelst, Rajeev Ranjan, Shalini Gakhar, Amrita Bhandari, Viswanathan Chinnusamy
Monitoring of Plant Ecological Units Cover Dynamics in a Semiarid Landscape from Past to Future Using Multi-Layer Perceptron and Markov Chain Model
Masoumeh Aghababaei, Ataollah Ebrahimi, Ali Asghar Naghipour, Esmaeil Asadi, Jochem Verrelst
Multi-decadal temporal reconstruction of Sentinel-3 OLCI-based vegetation products with multi-output Gaussian process regression
Dávid D.Kovács, Pablo Reyes-Muñoz, Katja Berger, Viktor Ixion Mészáros, Gabriel Caballero, Jochem Verrelst
Multioutput Feature Selection for Emulation and Sensitivity Analysis
Jorge Vicent Servera, Luca Martino, Jochem Verrelst, Juan Pablo Rivera-Caicedo, Gustau Camps-Valls
Optimizing hybrid models for canopy nitrogen mapping from Sentinel-2 in Google Earth Engine
Emma De Clerck, Dávid D.Kovács, Katja Berger, Martin Schlerf, Jochem Verrelst
A comprehensive survey on quantifying non-photosynthetic vegetation cover and biomass from imaging spectroscopy
Jochem Verrelst, Andrej Halabuk, Clement Atzberger, Tobias Hank, Stefanie Steinhauser, Katja Berger