FLEX-based inferring of terrestrial photosynthesis dynamics for quantifying European vegetation productivity

Informazioni relative al progetto

FLEXINEL

ID dell’accordo di sovvenzione: 101086622

DOI

10.3030/101086622

Data della firma CE 4 Aprile 2023

Data di avvio 1 Settembre 2023

Data di completamento 31 Agosto 2028

Finanziato da

• European Research Council (ERC)

Costo totale

€ 1 999 943,00

Contributo UE

€ 1 999 943,00

Coordinato da

UNIVERSITAT DE VALENCIA
Spain

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Pubblicazioni

Peer reviewed articles (23)

Multioutput Feature Selection for Emulation and Sensitivity Analysis

Autori: Jorge Vicent Servera, Luca Martino, Jochem Verrelst, Juan Pablo Rivera-Caicedo, Gustau Camps-Valls
Pubblicato in: IEEE Transactions on Geoscience and Remote Sensing, Numero 62, 2024, ISSN 0196-2892
Editore: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/TGRS.2024.3358231

Optimizing hybrid models for canopy nitrogen mapping from Sentinel-2 in Google Earth Engine

Autori: Emma De Clerck, Dávid D.Kovács, Katja Berger, Martin Schlerf, Jochem Verrelst
Pubblicato in: ISPRS Journal of Photogrammetry and Remote Sensing, Numero 218, 2024, ISSN 0924-2716
Editore: Elsevier BV
DOI: 10.1016/J.ISPRSJPRS.2024.11.005

Hyperspectral imaging for precision nitrogen management: A comparative exploration of two methodological approaches to estimate optimal nitrogen rate in processing tomato

Autori: Vito Aurelio Cerasola, Francesco Orsini, Giuseppina Pennisi, Gaia Moretti, Stefano Bona, Francesco Mirone, Jochem Verrelst, Katja Berger, Giorgio Gianquinto
Pubblicato in: Smart Agricultural Technology, Numero 10, 2025, ISSN 2772-3755
Editore: Elsevier BV
DOI: 10.1016/J.ATECH.2025.100802

Tower-to-global upscaling of terrestrial carbon fluxes driven by MODIS-LAI, Sentinel-3-LAI and ERA5-Land data

Autori: Pablo Reyes-Muñoz, Dávid D.Kovács, Jochem Verrelst
Pubblicato in: Ecological Indicators, Numero 177, 2025, ISSN 1470-160X
Editore: Elsevier BV
DOI: 10.1016/J.ECOLIND.2025.113597

Evaluation and improvement of Copernicus HR-VPP product for crop phenology monitoring

Autori: Egor Prikaziuk, Cláudio F. Silva, Gerbrand Koren, Zhanzhang Cai, Katja Berger, Santiago Belda, Lukas Valentin Graf, Enrico Tomelleri, Jochem Verrelst, Joel Segarra, Dessislava Ganeva
Pubblicato in: Computers and Electronics in Agriculture, Numero 233, 2025, ISSN 0168-1699
Editore: Elsevier BV
DOI: 10.1016/J.COMPAG.2025.110136

Estimation of wheat biophysical variables through UAV hyperspectral remote sensing using machine learning and radiative transfer models

Autori: 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
Pubblicato in: Computers and Electronics in Agriculture, Numero 221, 2024, ISSN 0168-1699
Editore: Elsevier BV
DOI: 10.1016/J.COMPAG.2024.108942

Monitoring cropland LAI using Gaussian Process Regression and sentinel – 2 surface reflectance data in Google Earth Engine

Autori: Rabi N. Sahoo, Tarun Kondraju, R. G. Rejith, Jochem Verrelst, Rajeev Ranjan, Shalini Gakhar, Amrita Bhandari, Viswanathan Chinnusamy
Pubblicato in: International Journal of Remote Sensing, Numero 45, 2024, ISSN 0143-1161
Editore: Informa UK Limited
DOI: 10.1080/01431161.2024.2370503

How global sensitive is the AquaCrop model to input parameters? A case study of silage maize yield on a regional scale

Autori: Elahe Akbari, Ali Darvishi Boloorani, Jochem Verrelst, Stefano Pignatti, Najmeh Neysani Samany, Saeid Soufizadeh, Saeid Hamzeh
Pubblicato in: Frontiers in Agronomy, Numero 6, 2024, ISSN 2673-3218
Editore: Frontiers Media SA
DOI: 10.3389/FAGRO.2024.1304611

Monitoring of Plant Ecological Units Cover Dynamics in a Semiarid Landscape from Past to Future Using Multi-Layer Perceptron and Markov Chain Model

Autori: Masoumeh Aghababaei, Ataollah Ebrahimi, Ali Asghar Naghipour, Esmaeil Asadi, Jochem Verrelst
Pubblicato in: Remote Sensing, Numero 16, 2024, ISSN 2072-4292
Editore: MDPI AG
DOI: 10.3390/RS16091612

Retrieval of crop traits using PROSAIL-based hybrid radiative transfer model and EnMAP hyperspectral data

Autori: Prachi Singh, Prashant K. Srivastava, Prakash Kumar Jha, Jochem Verrelst, Pashupati Nath Singh, Rajendra Prasad
Pubblicato in: International Journal of Applied Earth Observation and Geoinformation, Numero 143, 2025, ISSN 1569-8432
Editore: Elsevier BV
DOI: 10.1016/J.JAG.2025.104769

Optimizing Empirical and Hybrid Modeling for Advanced Canopy Chlorophyll and Nitrogen Retrieval Technique Using EnMAP Data

Autori: Mir Md Tasnim Alam, Anita Simic Milas, Jochem Verrelst, Qing Tian, Alia Soleil Kripal, Henry Poku Osei, Md Atiqur Rahman
Pubblicato in: Environmental Challenges, Numero 18, 2025, ISSN 2667-0100
Editore: Elsevier BV
DOI: 10.1016/J.ENVC.2025.101114

A comprehensive survey on quantifying non-photosynthetic vegetation cover and biomass from imaging spectroscopy

Autori: Jochem Verrelst, Andrej Halabuk, Clement Atzberger, Tobias Hank, Stefanie Steinhauser, Katja Berger
Pubblicato in: Ecological Indicators, Numero 155, 2023, ISSN 1470-160X
Editore: Elsevier BV
DOI: 10.1016/J.ECOLIND.2023.110911

Mapping mangrove functional traits from Sentinel-2 imagery based on hybrid models coupled with active learning strategies

Autori: Mingming Jia, Xianxian Guo, Lin Zhang, Mao Wang, Wenqing Wang, Chunyan Lu, Chuanpeng Zhao, Rong Zhang, Ming Wang, Hengqi Yan, Zongming Wang, Jochem Verrelst
Pubblicato in: International Journal of Applied Earth Observation and Geoinformation, Numero 130, 2024, ISSN 1569-8432
Editore: Elsevier BV
DOI: 10.1016/J.JAG.2024.103905

Scaling-up plant chlorophyll retrieval from proximal to UAV-borne hyperspectral data using a Gaussian process hybrid model

Autori: Rabi N. Sahoo, R. G. Rejith, Tarun Kondraju, Rajeev Ranjan, Amrita Bhandari, Shalini Gakhar, Mohd Asim, Jochem Verrelst, Ramanjit Kaur, Teekam Singh, Anchal Dass
Pubblicato in: International Journal of Remote Sensing, 2025, ISSN 0143-1161
Editore: Informa UK Limited
DOI: 10.1080/01431161.2025.2546152

Optimizing hybrid models for forest leaf and canopy trait mapping from EnMAP hyperspectral data with limited field samples

Autori: 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
Pubblicato in: Science of Remote Sensing, Numero 12, 2025, ISSN 2666-0172
Editore: Elsevier BV
DOI: 10.1016/J.SRS.2025.100253

Monitoring mangrove traits through optical Earth observation: Towards spatio-temporal scalability using cloud-based Sentinel-2 continuous time series

Autori: Nguyen An Binh, Leon T. Hauser, Matías Salinero-Delgado, Pham Viet Hoa, Giang Thi Phuong Thao, Jochem Verrelst
Pubblicato in: ISPRS Journal of Photogrammetry and Remote Sensing, Numero 214, 2025, ISSN 0924-2716
Editore: Elsevier BV
DOI: 10.1016/J.ISPRSJPRS.2024.06.007

Multi-decadal temporal reconstruction of Sentinel-3 OLCI-based vegetation products with multi-output Gaussian process regression

Autori: Dávid D.Kovács, Pablo Reyes-Muñoz, Katja Berger, Viktor Ixion Mészáros, Gabriel Caballero, Jochem Verrelst
Pubblicato in: Ecological Informatics, Numero 83, 2024, ISSN 1574-9541
Editore: Elsevier BV
DOI: 10.1016/J.ECOINF.2024.102816

In-season forecasting of within-field grain yield from Sentinel-2 time series data

Autori: Eatidal Amin, Luca Pipia, Santiago Belda, Gregor Perich, Lukas Valentin Graf, Helge Aasen, Shari Van Wittenberghe, José Moreno, Jochem Verrelst
Pubblicato in: International Journal of Applied Earth Observation and Geoinformation, Numero 126, 2024, ISSN 1569-8432
Editore: Elsevier BV
DOI: 10.1016/J.JAG.2023.103636

Monitoring Biophysical Variables (FVC, LAI, LCab, and CWC) and Cropland Dynamics at Field Scale Using Sentinel-2 Time Series

Autori: Reza Hassanpour, Abolfazl Majnooni-Heris, Ahmad Fakheri Fard, Jochem Verrelst
Pubblicato in: Remote Sensing, Numero 16, 2024, ISSN 2072-4292
Editore: MDPI AG
DOI: 10.3390/RS16132284

Estimating rainfed groundnut’s leaf area index using Sentinel-2 based on Machine Learning Regression Algorithms and Empirical Models

Autori: Michael Chibuike Ekwe, Oluseun Adeluyi, Jochem Verrelst, Angela Kross, Caleb Akoji Odiji
Pubblicato in: Precision Agriculture, Numero 25, 2024, ISSN 1385-2256
Editore: Springer Science and Business Media LLC
DOI: 10.1007/S11119-024-10117-0

On the potential of principal component analysis for the reconstruction of full-spectrum SIF emission and emulated airborne-to-satellite upscaling

Autori: Miguel Morata, Bastian Siegmann, José Luis García-Soria, Juan Pablo Rivera-Caicedo, Jochem Verrelst
Pubblicato in: Remote Sensing of Environment, Numero 328, 2025, ISSN 0034-4257
Editore: Elsevier BV
DOI: 10.1016/J.RSE.2025.114865

Evaluating epistemic uncertainty estimation strategies in vegetation trait retrieval using hybrid models and imaging spectroscopy data

Autori: José Luis García-Soria, Miguel Morata, Katja Berger, Ana Belén Pascual-Venteo, Juan Pablo Rivera-Caicedo, Jochem Verrelst
Pubblicato in: Remote Sensing of Environment, Numero 310, 2024, ISSN 0034-4257
Editore: Elsevier BV
DOI: 10.1016/J.RSE.2024.114228

GROUNDED EO: Data-driven Sentinel-2 LAI and FAPAR retrieval using Gaussian processes trained with extensive fiducial reference measurements

Autori: Luke A. Brown, Richard Fernandes, Jochem Verrelst, Harry Morris, Najib Djamai, Pablo Reyes-Muñoz, Dávid D.Kovács, Courtney Meier
Pubblicato in: Remote Sensing of Environment, Numero 326, 2025, ISSN 0034-4257
Editore: Elsevier BV
DOI: 10.1016/J.RSE.2025.114797