Jochem Verrelst

Orcid: 0000-0002-6313-2081

According to our database1, Jochem Verrelst authored at least 107 papers between 2007 and 2024.

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Bibliography

2024
In-season forecasting of within-field grain yield from Sentinel-2 time series data.
Int. J. Appl. Earth Obs. Geoinformation, February, 2024

Multioutput Feature Selection for Emulation and Sensitivity Analysis.
IEEE Trans. Geosci. Remote. Sens., 2024

2023
Optimizing the Retrieval of Wheat Crop Traits from UAV-Borne Hyperspectral Image with Radiative Transfer Modelling Using Gaussian Process Regression.
Remote. Sens., December, 2023

Spatial and Temporal Analysis of Water Quality in High Andean Lakes with Sentinel-2 Satellite Automatic Water Products.
Sensors, October, 2023

Untangling the Causal Links between Satellite Vegetation Products and Environmental Drivers on a Global Scale by the Granger Causality Method.
Remote. Sens., October, 2023

Cloud-Free Global Maps of Essential Vegetation Traits Processed from the TOA Sentinel-3 Catalogue in Google Earth Engine.
Remote. Sens., July, 2023

Biophysical Variable Retrieval of Silage Maize with Gaussian Process Regression and Hyperparameter Optimization Algorithms.
Remote. Sens., July, 2023

High resolution retrieval of leaf chlorophyll content over Himalayan pine forest using Visible/IR sensors mounted on UAV and radiative transfer model.
Ecol. Informatics, July, 2023

Deciphering maize vertical leaf area profiles by fusing spectral imagery data and a bell-shaped function.
Int. J. Appl. Earth Obs. Geoinformation, June, 2023

Synergy of Sentinel-1 and Sentinel-2 Time Series for Cloud-Free Vegetation Water Content Mapping with Multi-Output Gaussian Processes.
Remote. Sens., April, 2023

Satellite-Based Estimation of Soil Moisture Content in Croplands: A Case Study in Golestan Province, North of Iran.
Remote. Sens., April, 2023

Simultaneous retrieval of sugarcane variables from Sentinel-2 data using Bayesian regularized neural network.
Int. J. Appl. Earth Obs. Geoinformation, February, 2023

Multifidelity Gaussian Process Emulation for Atmospheric Radiative Transfer Models.
IEEE Trans. Geosci. Remote. Sens., 2023

Neural Network Emulation of Synthetic Hyperspectral Sentinel-2-Like Imagery With Uncertainty.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

2022
Systematic Assessment of MODTRAN Emulators for Atmospheric Correction.
IEEE Trans. Geosci. Remote. Sens., 2022

Prototyping Crop Traits Retrieval Models for CHIME: Dimensionality Reduction Strategies Applied to PRISMA Data.
Remote. Sens., 2022

Monitoring Cropland Phenology on Google Earth Engine Using Gaussian Process Regression.
Remote. Sens., 2022

Quantifying Fundamental Vegetation Traits over Europe Using the Sentinel-3 OLCI Catalogue in Google Earth Engine.
Remote. Sens., 2022

Retrieval of Crop Variables from Proximal Multispectral UAV Image Data Using PROSAIL in Maize Canopy.
Remote. Sens., 2022

Evaluation of Hybrid Models to Estimate Chlorophyll and Nitrogen Content of Maize Crops in the Framework of the Future CHIME Mission.
Remote. Sens., 2022

Quantifying Irrigated Winter Wheat LAI in Argentina Using Multiple Sentinel-1 Incidence Angles.
Remote. Sens., 2022

Seasonal Mapping of Irrigated Winter Wheat Traits in Argentina with a Hybrid Retrieval Workflow Using Sentinel-2 Imagery.
Remote. Sens., 2022

Multi-Season Phenology Mapping of Nile Delta Croplands Using Time Series of Sentinel-2 and Landsat 8 Green LAI.
Remote. Sens., 2022

Introducing ARTMO's Machine-Learning Classification Algorithms Toolbox: Application to Plant-Type Detection in a Semi-Steppe Iranian Landscape.
Remote. Sens., 2022

Estimating soil moisture content under grassland with hyperspectral data using radiative transfer modelling and machine learning.
Int. J. Appl. Earth Obs. Geoinformation, 2022

Paving the Road to Flex and Biomass: The Land Surface Carbon Constellation Study.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Emulation of Synthetic Hyperspectral Sentinel-2-Like Reflectance Images Using Neural Networks.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

LAI and Leaf Chlorophyll Content Retrieval Under Changing Spatial Scale Using a UAV-Mounted Multispectral Camera.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021
Green LAI Mapping and Cloud Gap-Filling Using Gaussian Process Regression in Google Earth Engine.
Remote. Sens., 2021

Crop Nitrogen Retrieval Methods for Simulated Sentinel-2 Data Using In-Field Spectrometer Data.
Remote. Sens., 2021

Emulation of Sun-Induced Fluorescence from Radiance Data Recorded by the HyPlant Airborne Imaging Spectrometer.
Remote. Sens., 2021

Retrieving and Validating Leaf and Canopy Chlorophyll Content at Moderate Resolution: A Multiscale Analysis with the Sentinel-3 OLCI Sensor.
Remote. Sens., 2021

Top-of-Atmosphere Retrieval of Multiple Crop Traits Using Variational Heteroscedastic Gaussian Processes within a Hybrid Workflow.
Remote. Sens., 2021

Assessing Non-Photosynthetic Cropland Biomass from Spaceborne Hyperspectral Imagery.
Remote. Sens., 2021

A Survey of Active Learning for Quantifying Vegetation Traits from Terrestrial Earth Observation Data.
Remote. Sens., 2021

Vegetation Types Mapping Using Multi-Temporal Landsat Images in the Google Earth Engine Platform.
Remote. Sens., 2021

Classification of Plant Ecological Units in Heterogeneous Semi-Steppe Rangelands: Performance Assessment of Four Classification Algorithms.
Remote. Sens., 2021

Comparison of Crop Trait Retrieval Strategies Using UAV-Based VNIR Hyperspectral Imaging.
Remote. Sens., 2021

Intelligent Sampling for Vegetation Nitrogen Mapping Based on Hybrid Machine Learning Algorithms.
IEEE Geosci. Remote. Sens. Lett., 2021

Estimating the phenological dynamics of irrigated rice leaf area index using the combination of PROSAIL and Gaussian Process Regression.
Int. J. Appl. Earth Obs. Geoinformation, 2021

Prototyping Vegetation Traits Models in the Context of the Hyperspectral Chime Mission Preparation.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Mapping Essential Vegetation Variables Over Europe Using Gaussian Process Regression and Sentinel-3 Data in Google Earth Engine.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

First Results of Hyperspectral Scene Generation in Preparation of the Chime Imaging Spectrometer Mission.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Towards Quantifying Non-Photosynthetic Vegetation for Agriculture Using Spaceborne Imaging Spectroscopy.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Crop Phenology Retrieval Through Gaussian Process Regression.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020
Urban Heat Island Monitoring and Impacts on Citizen's General Health Status in Isfahan Metropolis: A Remote Sensing and Field Survey Approach.
Remote. Sens., 2020

Transboundary Basins Need More Attention: Anthropogenic Impacts on Land Cover Changes in Aras River Basin, Monitoring and Prediction.
Remote. Sens., 2020

Assessment of Workflow Feature Selection on Forest LAI Prediction with Sentinel-2A MSI, Landsat 7 ETM+ and Landsat 8 OLI.
Remote. Sens., 2020

Optimal Spectral Wavelengths for Discriminating Orchard Species Using Multivariate Statistical Techniques.
Remote. Sens., 2020

DATimeS: A machine learning time series GUI toolbox for gap-filling and vegetation phenology trends detection.
Environ. Model. Softw., 2020

Gradient-based Automatic Look-Up Table Generator for Atmospheric Radiative Transfer Models.
CoRR, 2020

Fusing Optical and SAR time series for LAI gap filling with multioutput Gaussian processes.
CoRR, 2020

Estimation of leaf area index using PROSAIL based LUT inversion, MLRA-GPR and empirical models: Case study of tropical deciduous forest plantation, North India.
Int. J. Appl. Earth Obs. Geoinformation, 2020

Retrieval of aboveground crop nitrogen content with a hybrid machine learning method.
Int. J. Appl. Earth Obs. Geoinformation, 2020

2019
Gradient-Based Automatic Lookup Table Generator for Radiative Transfer Models.
IEEE Trans. Geosci. Remote. Sens., 2019

Global Sensitivity Analysis of Leaf-Canopy-Atmosphere RTMs: Implications for Biophysical Variables Retrieval from Top-of-Atmosphere Radiance Data.
Remote. Sens., 2019

Approximating Empirical Surface Reflectance Data through Emulation: Opportunities for Synthetic Scene Generation.
Remote. Sens., 2019

Quantifying the Robustness of Vegetation Indices through Global Sensitivity Analysis of Homogeneous and Forest Leaf-Canopy Radiative Transfer Models.
Remote. Sens., 2019

Eco-Friendly Estimation of Heavy Metal Contents in Grapevine Foliage Using In-Field Hyperspectral Data and Multivariate Analysis.
Remote. Sens., 2019

Scenario-based discrimination of common grapevine varieties using in-field hyperspectral data in the western of Iran.
Int. J. Appl. Earth Obs. Geoinformation, 2019

2018
Design of a Generic 3-D Scene Generator for Passive Optical Missions and Its Implementation for the ESA's FLEX/Sentinel-3 Tandem Mission.
IEEE Trans. Geosci. Remote. Sens., 2018

Emulation as an Accurate Alternative to Interpolation in Sampling Radiative Transfer Codes.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

Compensation of Oxygen Transmittance Effects for Proximal Sensing Retrieval of Canopy-Leaving Sun-Induced Chlorophyll Fluorescence.
Remote. Sens., 2018

Retrieval of canopy water content of different crop types with two new hyperspectral indices: Water Absorption Area Index and Depth Water Index.
Int. J. Appl. Earth Obs. Geoinformation, 2018

Alg: a Toolbox for the Generation of Look-Up tables Based on Atmospheric Radiative Transfer Models.
Proceedings of the 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2018

Statistical Learning For End-To-End Simulations.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Approximating Experimental Vegetation Spectroscopy Data through Emulation.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Progress in Emulation For Radiative Transfer Modeling And Mapping.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

FLEX/S3 Tandem Mission Performance Assessment: Evolution of the End-to-End Simulator Flex-E.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Remote Estimation of Canopy Water Content in Different Crop Types with New Hyperspectral Indices.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

The Sensagri Sentinel-2 Lai Green and Brown Product: from Algorithm Development Towards Operational Mapping.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017
Assessment of Approximations in Aerosol Optical Properties and Vertical Distribution into FLEX Atmospherically-Corrected Surface Reflectance and Retrieved Sun-Induced Fluorescence.
Remote. Sens., 2017

SCOPE-Based Emulators for Fast Generation of Synthetic Canopy Reflectance and Sun-Induced Fluorescence Spectra.
Remote. Sens., 2017

Impact of Atmospheric Inversion Effects on Solar-Induced Chlorophyll Fluorescence: Exploitation of the Apparent Reflectance as a Quality Indicator.
Remote. Sens., 2017

Oxygen transmittance correction for solar-induced chlorophyll fluorescence measured on proximal sensing: Application to the NASA-GSFC fusion tower.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

2016
FLEX End-to-End Mission Performance Simulator.
IEEE Trans. Geosci. Remote. Sens., 2016

Emulation of Leaf, Canopy and Atmosphere Radiative Transfer Models for Fast Global Sensitivity Analysis.
Remote. Sens., 2016

Active Learning Methods for Efficient Hybrid Biophysical Variable Retrieval.
IEEE Geosci. Remote. Sens. Lett., 2016

Spectral band selection for vegetation properties retrieval using Gaussian processes regression.
Int. J. Appl. Earth Obs. Geoinformation, 2016

2015
An Emulator Toolbox to Approximate Radiative Transfer Models with Statistical Learning.
Remote. Sens., 2015

Brown and green LAI mapping through spectral indices.
Int. J. Appl. Earth Obs. Geoinformation, 2015

Learning Structures in Earth Observation Data with Gaussian Processes.
Proceedings of the Advanced Analysis and Learning on Temporal Data, 2015

Replacing radiative transfer models by surrogate approximations through machine learning.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

A sun-induced vegetation fluorescence retrieval method from top of atmosphere radiance for the FLEX/Sentinel-3 TanDEM mission.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

Biophysical parameter retrieval with warped Gaussian processes.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

2014
Optimizing LUT-Based RTM Inversion for Semiautomatic Mapping of Crop Biophysical Parameters from Sentinel-2 and -3 Data: Role of Cost Functions.
IEEE Trans. Geosci. Remote. Sens., 2014

Toward a Semiautomatic Machine Learning Retrieval of Biophysical Parameters.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014

On the Semi-Automatic Retrieval of Biophysical Parameters Based on Spectral Index Optimization.
Remote. Sens., 2014

A Comparison of Advanced Regression Algorithms for Quantifying Urban Land Cover.
Remote. Sens., 2014

Retrieval of Biophysical Parameters With Heteroscedastic Gaussian Processes.
IEEE Geosci. Remote. Sens. Lett., 2014

Global sensitivity analysis of the A-SCOPE model in support of future FLEX fluorescence retrievals.
Proceedings of the 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2014

Sensitivity of scope modelled GPP and fluorescence for different plant functional types.
Proceedings of the 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2014

A fluorescence retrieval method for the flex sentinel-3 tandem mission.
Proceedings of the 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2014

2013
Gaussian Process Retrieval of Chlorophyll Content From Imaging Spectroscopy Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2013

Multiple Cost Functions and Regularization Options for Improved Retrieval of Leaf Chlorophyll Content and LAI through Inversion of the PROSAIL Model.
Remote. Sens., 2013

Estimation of vegetation chlorophyll content with Variational Heteroscedastic Gaussian Processes.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

2012
Retrieval of Vegetation Biophysical Parameters Using Gaussian Process Techniques.
IEEE Trans. Geosci. Remote. Sens., 2012

Mapping Vegetation Density in a Heterogeneous River Floodplain Ecosystem Using Pointable CHRIS/PROBA Data.
Remote. Sens., 2012

Optimizing LUT-based radiative transfer model inversion for retrieval of biophysical parameters using hyperspectral data.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

Potential retrieval of biophysical parameters from FLORIS, S3-OLCI and its synergy.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

2011
Evaluation of Sentinel-2 Red-Edge Bands for Empirical Estimation of Green LAI and Chlorophyll Content.
Sensors, 2011

Multioutput Support Vector Regression for Remote Sensing Biophysical Parameter Estimation.
IEEE Geosci. Remote. Sens. Lett., 2011

2010
Merging the Minnaert- k Parameter With Spectral Unmixing to Map Forest Heterogeneity With CHRIS/PROBA Data.
IEEE Trans. Geosci. Remote. Sens., 2010

2009
Mapping of aggregated floodplain plant communities using image fusion of CASI and LiDAR data.
Int. J. Appl. Earth Obs. Geoinformation, 2009

Fusing Minnaert-k parameter with spectral unmixing for forest heterogeneity mapping using CHRIS-PROBA data.
Proceedings of the First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2009

2007
Erratum to "Capturing the fugitive: Applying remote sensing to terrestrial animal distribution and diversity" [Int. J. Appl. Earth Observ. Geoinform. (2007) 1-20].
Int. J. Appl. Earth Obs. Geoinformation, 2007

Capturing the fugitive: Applying remote sensing to terrestrial animal distribution and diversity.
Int. J. Appl. Earth Obs. Geoinformation, 2007


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