Papers

Found: 50 Result(s)

	#	Year
4	2023	A comprehensive survey on quantifying non-photosynthetic vegetation cover and biomass from imaging spectroscopy Verrelst, J., Halabuk, A., Atzberger, C., Hank, T., Steinhauser, S., & Berger, K. Ecological Indicators
5	2023	Untangling the Causal Links between Satellite Vegetation Products and Environmental Drivers on a Global Scale by the Granger Causality Method D.Kovács, D.; Amin, E.; Berger, K.; Reyes-Muñoz, P.; Verrelst, J. Remote Sensing
6	2023	Spatial and Temporal Analysis of Water Quality in High Andean Lakes with Sentinel-2 Satellite Automatic Water Products Ayala Izurieta, J.E.; Beltrán Dávalos, A.A.; Jara Santillán, C.A.; Godoy Ponce, S.C.; Van Wittenberghe, S.; Verrelst, J.; Delegido, J. Sensors
7	2023	Optimizing the Retrieval of Wheat Crop Traits from UAV-Borne Hyperspectral Image with Radiative Transfer Modelling Using Gaussian Process Regression Sahoo, R.N.; Gakhar, S.; Rejith, R.G.; Verrelst, J.; Ranjan, R.; Kondraju, T.; Meena, M.C.; Mukherjee, J.; Daas, A.; Kumar, S.; et al. Remote Sensing
8	2024	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 International Journal of Applied Earth Observation and Geoinformation
9	2024	Reviews and syntheses: Remotely sensed optical time series for monitoring vegetation productivity Kooistra, L. and Berger, K. and Brede, B. and Graf, L. V. and Aasen, H. and Roujean, J.-L. and Machwitz, M. and Schlerf, M. and Atzberger, C. and Prikaziuk, E. and Ganeva, D. and Tomelleri, E. and Croft, H. and Reyes Muñoz, P. and Garcia Millan, V. and Darvishzadeh, R. and Koren, G. and Herrmann, I. and Rozenstein, O. and Belda, S. and Rautiainen, M. and Rune Karlsen, S. and Figueira Silva, C. and Cerasoli, S. and Pierre, J. and Tanır Kayıkc{c}ı, E. and Halabuk, A. and Tunc Gormus, E. and Fluit, F. and Cai, Z. and Kycko, M. and Udelhoven, T. and Verrelst, J. Biogeosciences
10	2024	Multioutput Feature Selection for Emulation and Sensitivity Analysis J. Vicent, L. Martino, J. Verrelst, J. P. R. Caicedo and G. Camps-Valls IEEE Transactions on Geoscience and Remote Sensing
11	2024	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 Precision Agriculture
12	2024	Plant Disease Diagnosis Based on Hyperspectral Sensing: Comparative Analysis of Parametric Spectral Vegetation Indices and Nonparametric Gaussian Process Classification Approaches Reis Pereira, M.; Verrelst, J.; Tosin, R.; Rivera Caicedo, J.P.; Tavares, F.; Neves dos Santos, F.; Cunha, M. Agronomy
13	2024	Inferring global terrestrial carbon fluxes from the synergy of Sentinel 3 & 5P with Gaussian process hybrid models Pablo Reyes-Muñoz, Dávid D.Kovács, Katja Berger, Luca Pipia, Santiago Belda, Juan Pablo Rivera-Caicedo, Jochem Verrelst Remote Sensing of Environment
14	2024	Gaussian Process Regression Hybrid Models for the Top-of-Atmosphere Retrieval of Vegetation Traits Applied to PRISMA and EnMAP Imagery Pascual-Venteo, A.B.; Garcia, J.L.; Berger, K.; Estévez, J.; Vicent, J.; Pérez-Suay, A.; Van Wittenberghe, S.; Verrelst, J. Remote Sensing
15	2024	How global sensitive is the AquaCrop model to input parameters? A case study of silage maize yield on a regional scale Akbari, E., Darvishi Boloorani, A., Verrelst, J., Pignatti, S., Neysani Samany, N., Soufizadeh, S., & Hamzeh, S. Frontiers in Agronomy
16	2024	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 Chinnusamy Computers and Electronics in Agriculture
17	2024	Monitoring of Plant Ecological Units Cover Dynamics in a Semiarid Landscape from Past to Future Using Multi-Layer Perceptron and Markov Chain Model Aghababaei, M.; Ebrahimi, A.; Naghipour, A.A.; Asadi, E.; Verrelst, J. Remote Sensing
18	2024	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 International Journal of Applied Earth Observation and Geoinformation
19	2024	Evaluating epistemic uncertainty estimation strategies in vegetation trait retrieval using hybrid models and imaging spectroscopy data. García-Soria, J. L., Morata, M., Berger, K., Pascual-Venteo, A. B., Rivera-Caicedo, J. P., & Verrelst, J. Remote Sensing of Environment
20	2024	Monitoring mangrove traits through optical Earth observation: Towards spatio-temporal scalability using cloud-based Sentinel-2 continuous time series Binh, N. A., Hauser, L. T., Salinero-Delgado, M., Hoa, P. V., Thao, G. T. P., & Verrelst, J. ISPRS Journal of Photogrammetry and Remote Sensing
21	2024	Monitoring Biophysical Variables (FVC, LAI, LCab, and CWC) and Cropland Dynamics at Field Scale Using Sentinel-2 Time Series Hassanpour, R., Majnooni-Heris, A., Fakheri Fard, A., & Verrelst, J. Remote Sensing
22	2024	Monitoring cropland LAI using Gaussian Process Regression and sentinel – 2 surface reflectance data in Google Earth Engine Sahoo, R. N., Kondraju, T., Rejith, R. G., Verrelst, J., Ranjan, R., Gakhar, S., … Chinnusamy, V. International Journal of Remote Sensing
23	2024	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 Verrels Ecological Informatics
24	2024	Optimizing hybrid models for canopy nitrogen mapping from Sentinel-2 in Google Earth Engine De Clerck, E., Kovács, D. D., Berger, K., Schlerf, M., & Verrelst, J. ISPRS Journal of Photogrammetry and Remote Sensing
25	2024	Assimilating Satellite-Based Biophysical Variables Data into AquaCrop Model for Silage Maize Yield Estimation Using Water Cycle Algorithm Akbari, E.; Boloorani, A.D.; Verrelst, J.; Pignatti, S. Remote Sensing
26	2025	Evaluation and improvement of Copernicus HR-VPP product for crop phenology monitoring Prikaziuk, E., Silva, C.F., Koren, G., Cai, Z., Berger, K., Belda, S., Graf, L.V., Tomelleri, E., Verrelst, J., Segarra, J. and Ganeva, D Computers and Electronics in Agriculture
27	2025	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 Environmental Challenges
28	2025	Hyperspectral imaging for precision nitrogen management: A comparative exploration of two methodological approaches to estimate optimal nitrogen rate in processing tomato Cerasola, V.A., Orsini, F., Pennisi, G., Moretti, G., Bona, S., Mirone, F., Verrelst, J., Berger, K. and Gianquinto, G Smart Agricultural Technology
29	2025	A comprehensive land surface vegetation model for multi-stream data assimilation, D&B v1. 0. Knorr, Wolfgang, Matthew Williams, Tea Thum, Thomas Kaminski, Michael Voßbeck, Marko Scholze, Tristan Quaife et al. Geoscientific Model Development
30	2025	Driving variables to explain soil organic carbon dynamics: páramo highlands of the Ecuadorian Real mountain range Beltrán-Dávalos, A.A., Ayala Izurieta, J.E., Echeverría, M., Jara Santillán, C.A., Verrelst, J., Delegido, J., Merino, A. and Otero, X.L. Journal of Soils and Sediments
31	2025	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, Remote Sensing of Environment,
32	2025	Tower-to-global upscaling of terrestrial carbon fluxes driven by MODIS-LAI, Sentinel-3-LAI and ERA5-Land data Reyes-Muñoz, Pablo, Dávid D. Kovács, and Jochem Verrelst Ecological Indicators
33	2025	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, Annabell Rosemarie Wagner, Robert R. Junker, Jochem Verrelst, Jörg Bendix Science of Remote Sensing
34	2025	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 Remote Sensing of Environment
36	2025	Retrieval of crop traits using PROSAIL-based hybrid radiative transfer model and EnMAP hyperspectral data Singh, P., Srivastava, P. K., Jha, P. K., Verrelst, J., Singh, P. N., & Prasad, R. International Journal of Applied Earth Observation and Geoinformation
37	2025	Scaling-up plant chlorophyll retrieval from proximal to UAV-borne hyperspectral data using a Gaussian process hybrid model Sahoo, R. N., Rejith, R. G., Kondraju, T., Ranjan, R., Bhandari, A., Gakhar, S., Asim, M., Verrelst J. Kaur, R., Singh, T., Dass, A. International Journal of Remote Sensing
38	2025	RTM Surrogate Modeling in Optical Remote Sensing: A Review of Emulation for Vegetation and Atmosphere Applications Verrelst, J.; Morata, M.; García-Soria, J.L.; Sun, Y.; Qi, J.; Rivera-Caicedo, J.P. Remote Sensing
39	2025	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 Ecological Informatics
40	2025	Spatiotemporal Analysis of Water Quality Conditions in High-Andean Lakes Based on Satellite Indicators Using Sentinel 2 and Landsat 8/9 Images Cantos VFF, Rodríguez PXL, Izurieta JEA, Santillán CAJ, Ruiz-Verdú A, Verrelst J, Goethals PLM, Delegido J. Water
41	2025	Bridging Gaps in Aquatic Remote Sensing Reflectance Validation: Pixel Boundary Effect and Its Induced Errors Xiao, S.; Lyu, C.; Zhang, C.; Verrelst, J.; Wang, L.; Shi, Y.; Lyu, Y.; Shi, H. Sensors
42	2026	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 ISPRS Journal of Photogrammetry and Remote Sensing
43	2025	Enhancing Plant Ecological Unit Mapping Accuracy with Auxiliary Data from Landsat-8 in a Heterogeneous Rangeland Aghababaei M, Ebrahimi A, Naghipour AA, Asadi E, Verrelst J. Remote Sensing
44	2026	A user-friendly Google Earth Engine Web Application for vegetation trait mapping and time series analysis from Sentinel-2 and Sentinel-3 imagery E. D. Clerck and J. Verrelst IEEE Geoscience and Remote Sensing Letters
45	2026	Assessment of PlanetScope Spectral Data for Estimation of Peanut Leaf Area Index Using Machine Learning and Statistical Methods Ekwe M, Fernando H, James G, Adeluyi O, Verrelst J, Kross A. Sensors
46	2026	Machine Learning for Satellite Solar-Induced Fluorescence: Retrieval, Reconstruction, Downscaling, and Applications Verrelst J, Zhang Y, Morata M, De Clerck E, Liu L. Remote Sensing
47	2026	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 ISPRS Journal of Photogrammetry and Remote Sensing
48	2026	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 International Journal of Applied Earth Observation and Geoinformation
49	2026	Quantifying Uncertainty in Spectral Leaf Chlorophyll Content Retrieval: A Propagation Analysis Werfeli, M.,Ganeva, D., García-Soria, J. L., Mihai, L., Filchev, L., Roumenina, E., Verrelst, J., Hueni, A IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
50	2026	Cloud-Native Earth Observation for Quantitative Vegetation Science: Architectures, Workflows, and Scientific Implications Verrelst J, Clerck ED, Verma B, Mishra K, Caballero G. Remote Sensing
51	2026	A cloud-computing framework for downscaled global 300 m SIF retrieval from Sentinel-3 and TROPOSIF Yuxin Zhang, Pablo Reyes-Muñoz, Jochem Verrelst International Journal of Applied Earth Observation and Geoinformation
52	2026	Scale-Aware Interpretation of Vegetation Traits and SIF-Based Dynamics in Earth Observation Verrelst, J.; Verma, B.; Reyes-Muñoz, P. Remote Sensing
53	2026	Hybrid FAPAR and FVC retrieval from Sentinel-3 SYNERGY with Gaussian processes: Development, validation, and cloud-readiness Dávid D.Kovács, Emma De Clerck, Luke A. Brown, Pablo Reyes-Muñoz, Jochem Verrelst Science of Remote Sensing
54	2026	Earth Observation-Driven Inference for Level-4 Terrestrial Products: Process-Based, Machine Learning, and Hybrid Frameworks Verrelst, J.; Reyes-Muñoz, P. Remote Sensing

Papers

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

Untangling the Causal Links between Satellite Vegetation Products and Environmental Drivers on a Global Scale by the Granger Causality Method

Spatial and Temporal Analysis of Water Quality in High Andean Lakes with Sentinel-2 Satellite Automatic Water Products

Optimizing the Retrieval of Wheat Crop Traits from UAV-Borne Hyperspectral Image with Radiative Transfer Modelling Using Gaussian Process Regression

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

Reviews and syntheses: Remotely sensed optical time series for monitoring vegetation productivity

Multioutput Feature Selection for Emulation and Sensitivity Analysis

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

Plant Disease Diagnosis Based on Hyperspectral Sensing: Comparative Analysis of Parametric Spectral Vegetation Indices and Nonparametric Gaussian Process Classification Approaches

Inferring global terrestrial carbon fluxes from the synergy of Sentinel 3 & 5P with Gaussian process hybrid models

Gaussian Process Regression Hybrid Models for the Top-of-Atmosphere Retrieval of Vegetation Traits Applied to PRISMA and EnMAP Imagery

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

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

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

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

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

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

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

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

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

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

Assimilating Satellite-Based Biophysical Variables Data into AquaCrop Model for Silage Maize Yield Estimation Using Water Cycle Algorithm

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

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

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

A comprehensive land surface vegetation model for multi-stream data assimilation, D&B v1. 0.

Driving variables to explain soil organic carbon dynamics: páramo highlands of the Ecuadorian Real mountain range

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

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

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

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

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

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

RTM Surrogate Modeling in Optical Remote Sensing: A Review of Emulation for Vegetation and Atmosphere Applications

PyEOGPR: A Python package for vegetation trait mapping with Gaussian Process Regression on Earth observation cloud platforms

Spatiotemporal Analysis of Water Quality Conditions in High-Andean Lakes Based on Satellite Indicators Using Sentinel 2 and Landsat 8/9 Images

Bridging Gaps in Aquatic Remote Sensing Reflectance Validation: Pixel Boundary Effect and Its Induced Errors

High-spatial-resolution gross primary production estimation from Sentinel-2 reflectance using hybrid Gaussian processes modeling

Enhancing Plant Ecological Unit Mapping Accuracy with Auxiliary Data from Landsat-8 in a Heterogeneous Rangeland

A user-friendly Google Earth Engine Web Application for vegetation trait mapping and time series analysis from Sentinel-2 and Sentinel-3 imagery

Assessment of PlanetScope Spectral Data for Estimation of Peanut Leaf Area Index Using Machine Learning and Statistical Methods

Machine Learning for Satellite Solar-Induced Fluorescence: Retrieval, Reconstruction, Downscaling, and Applications

Epistemic and aleatoric uncertainty in optical vegetation trait retrieval: Concepts, Methods, and Outlook

Quantifying angular sensitivity and synergistic effects of SIF and vegetation indices for robust winter wheat yield estimation

Quantifying Uncertainty in Spectral Leaf Chlorophyll Content Retrieval: A Propagation Analysis

Cloud-Native Earth Observation for Quantitative Vegetation Science: Architectures, Workflows, and Scientific Implications

A cloud-computing framework for downscaled global 300 m SIF retrieval from Sentinel-3 and TROPOSIF

Scale-Aware Interpretation of Vegetation Traits and SIF-Based Dynamics in Earth Observation

Hybrid FAPAR and FVC retrieval from Sentinel-3 SYNERGY with Gaussian processes: Development, validation, and cloud-readiness

Earth Observation-Driven Inference for Level-4 Terrestrial Products: Process-Based, Machine Learning, and Hybrid Frameworks