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 Chinnusamy
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, Annabell Rosemarie Wagner, Robert R. Junker, Jochem Verrelst, Jörg Bendix
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