Potential retrieval of biophysical parameters from FLORIS, S3-OLCI and its synergy. - Jochem Verrelst; Juan Pablo Rivera; Luis Alonso 002; Rasmus Lindstrot; José F. Moreno (IGARSS, 2012)

Optimizing LUT-based radiative transfer model inversion for retrieval of biophysical parameters using hyperspectral data. - Jochem Verrelst; Juan Pablo Rivera; Ganna Leonenko; Luis Alonso 002; José F. Moreno (IGARSS, 2012)

Multiple Cost Functions and Regularization Options for Improved Retrieval of Leaf Chlorophyll Content and LAI through Inversion of the PROSAIL Model. - Juan Pablo Rivera; Jochem Verrelst; Ganna Leonenko; José F. Moreno (Remote. Sens., 2013)

Gaussian Process Retrieval of Chlorophyll Content From Imaging Spectroscopy Data. - Jochem Verrelst; Luis Alonso 002; Juan Pablo Rivera Caicedo; José F. Moreno; Gustavo Camps-Valls (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2013)

Synthetic scene simulator for hyperspectral spaceborne passive optical sensors. Application to ESA's FLEX/sentinel-3 tandem mission. - Juan Pablo Rivera; Neus Sabater; Carolina Tenjo; Jorge Vicent 001; Luis Alonso 002; José F. Moreno (WHISPERS, 2014)

Global sensitivity analysis of the A-SCOPE model in support of future FLEX fluorescence retrievals. - Jochem Verrelst; Juan Pablo Rivera; Christiaan van der Tol; Federico Magnani; Gina Mohammed; José F. Moreno (WHISPERS, 2014)

On the Semi-Automatic Retrieval of Biophysical Parameters Based on Spectral Index Optimization. - Juan Pablo Rivera; Jochem Verrelst; Jesús Delegido; Frank Veroustraete; José F. Moreno (Remote. Sens., 2014)

Toward a Semiautomatic Machine Learning Retrieval of Biophysical Parameters. - Juan Pablo Rivera Caicedo; Jochem Verrelst; Jordi Muñoz-Marí; José F. Moreno; Gustavo Camps-Valls (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014)

Optimizing LUT-Based RTM Inversion for Semiautomatic Mapping of Crop Biophysical Parameters from Sentinel-2 and -3 Data: Role of Cost Functions. - Jochem Verrelst; Juan Pablo Rivera; Ganna Leonenko; Luis Alonso 002; José F. Moreno (IEEE Trans. Geosci. Remote. Sens., 2014)

Replacing radiative transfer models by surrogate approximations through machine learning. - Jochem Verrelst; Juan Pablo Rivera; José Gómez-Dans; Gustau Camps-Valls; José F. Moreno (IGARSS, 2015)

Brown and green LAI mapping through spectral indices. - Jesús Delegido; Jochem Verrelst; Juan Pablo Rivera; Antonio Ruiz-Verdú; José F. Moreno (Int. J. Appl. Earth Obs. Geoinformation, 2015)

An Emulator Toolbox to Approximate Radiative Transfer Models with Statistical Learning. - Juan Pablo Rivera; Jochem Verrelst; José Gómez-Dans; Jordi Muñoz-Marí; José F. Moreno; Gustau Camps-Valls (Remote. Sens., 2015)

Spectral band selection for vegetation properties retrieval using Gaussian processes regression. - Jochem Verrelst; Juan Pablo Rivera; Anatoly A. Gitelson; Jesús Delegido; José F. Moreno; Gustau Camps-Valls (Int. J. Appl. Earth Obs. Geoinformation, 2016)

Active Learning Methods for Efficient Hybrid Biophysical Variable Retrieval. - Jochem Verrelst; Sara Dethier; Juan Pablo Rivera; Jordi Muñoz-Marí; Gustau Camps-Valls; José F. Moreno (IEEE Geosci. Remote. Sens. Lett., 2016)

Emulation of Leaf, Canopy and Atmosphere Radiative Transfer Models for Fast Global Sensitivity Analysis. - Jochem Verrelst; Neus Sabater; Juan Pablo Rivera; Jordi Muñoz-Marí; Jorge Vicent 001; Gustau Camps-Valls; José F. Moreno (Remote. Sens., 2016)

FLEX End-to-End Mission Performance Simulator. - Jorge Vicent 001; Neus Sabater; Carolina Tenjo; Juan Ramon Acarreta; María Manzano; Juan Pablo Rivera; Pedro Jurado; Raffaella Franco; Luis Alonso 002; Jochem Verrelst; José F. Moreno (IEEE Trans. Geosci. Remote. Sens., 2016)

SCOPE-Based Emulators for Fast Generation of Synthetic Canopy Reflectance and Sun-Induced Fluorescence Spectra. - Jochem Verrelst; Juan Pablo Rivera Caicedo; Jordi Muñoz-Marí; Gustau Camps-Valls; José F. Moreno (Remote. Sens., 2017)

The Sensagri Sentinel-2 Lai Green and Brown Product: from Algorithm Development Towards Operational Mapping. - Eatidal Amin; Jochem Verrelst; Juan Pablo Rivera Caicedo; Nieves Pasqualotto; Jesús Delegido; Antonio Ruiz-Verdú; José F. Moreno (IGARSS, 2018)

Remote Estimation of Canopy Water Content in Different Crop Types with New Hyperspectral Indices. - Nieves Pasqualotto; Jesús Delegido; Shari Van Wittenberghe; Jochem Verrelst; Juan Pablo Rivera; José Moreno 001 (IGARSS, 2018)

FLEX/S3 Tandem Mission Performance Assessment: Evolution of the End-to-End Simulator Flex-E. - Carolina Tenjo; Antonio Ruiz-Verdú; Neus Sabater; Jorge Vicent 001; Juan Pablo Rivera Caicedo; Luis Alonso 002; Jochem Verrelst; Raffaella Franco; Ana Maria Sánchez; Sofia Freitas; José F. Moreno (IGARSS, 2018)

Progress in Emulation For Radiative Transfer Modeling And Mapping. - Jochem Verrelst; Juan Pablo Rivera Caicedo; José F. Moreno (IGARSS, 2018)

Approximating Experimental Vegetation Spectroscopy Data through Emulation. - Jochem Verrelst; Juan Pablo Rivera Caicedo; Jorge Vicent 001; José F. Moreno (IGARSS, 2018)

Statistical Learning For End-To-End Simulations. - Jorge Vicent 001; Jochem Verrelst; Juan Pablo Rivera Caicedo; Neus Sabater; Jordi Muñoz-Marí; Gustau Camps-Valls; José F. Moreno (IGARSS, 2018)

Retrieval of canopy water content of different crop types with two new hyperspectral indices: Water Absorption Area Index and Depth Water Index. - Nieves Pasqualotto; Jesús Delegido; Shari Van Wittenberghe; Jochem Verrelst; Juan Pablo Rivera; José F. Moreno (Int. J. Appl. Earth Obs. Geoinformation, 2018)

Emulation as an Accurate Alternative to Interpolation in Sampling Radiative Transfer Codes. - Jorge Vicent 001; Jochem Verrelst; Juan Pablo Rivera Caicedo; Neus Sabater; Jordi Muñoz-Marí; Gustau Camps-Valls; José F. Moreno (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 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. - Carolina Tenjo; Juan Pablo Rivera Caicedo; Neus Sabater; Jorge Vicent Servera; Luis Alonso 002; Jochem Verrelst; José F. Moreno (IEEE Trans. Geosci. Remote. Sens., 2018)

Quantifying the Robustness of Vegetation Indices through Global Sensitivity Analysis of Homogeneous and Forest Leaf-Canopy Radiative Transfer Models. - Pablo Morcillo Pallarés; Juan Pablo Rivera Caicedo; Santiago Belda; Charlotte De Grave; Helena Burriel; José Moreno 001; Jochem Verrelst (Remote. Sens., 2019)

Approximating Empirical Surface Reflectance Data through Emulation: Opportunities for Synthetic Scene Generation. - Jochem Verrelst; Juan Pablo Rivera Caicedo; Jorge Vicent 001; Pablo Morcillo Pallarés; José Moreno 001 (Remote. Sens., 2019)

Global Sensitivity Analysis of Leaf-Canopy-Atmosphere RTMs: Implications for Biophysical Variables Retrieval from Top-of-Atmosphere Radiance Data. - Jochem Verrelst; Jorge Vicent 001; Juan Pablo Rivera Caicedo; Maria Lumbierres; Pablo Morcillo Pallarés; José F. Moreno (Remote. Sens., 2019)

Estimation of leaf area index using PROSAIL based LUT inversion, MLRA-GPR and empirical models: Case study of tropical deciduous forest plantation, North India. - Sanjiv K. Sinha; Hitendra Padalia; Anindita Dasgupta; Jochem Verrelst; Juan Pablo Rivera (Int. J. Appl. Earth Obs. Geoinformation, 2020)

DATimeS: A machine learning time series GUI toolbox for gap-filling and vegetation phenology trends detection. - Santiago Belda; Luca Pipia; Pablo Morcillo Pallarés; Juan Pablo Rivera Caicedo; Eatidal Amin; Charlotte De Grave; Jochem Verrelst (Environ. Model. Softw., 2020)

Mapping Sugarcane Using Vegetation Indices and Time Series of Sentinel-2 Images. - Humberto Cruz-Sanabria; María Guadalupe Sánchez; Juan Pablo Rivera Caicedo; Himer Avila-George (IGARSS, 2021)

Water Pollution Detection in Acapulco Coasts Using Merged Data from the Sentinel-2 and Sentinel-3 Satellites. - Roberto Lomelí-Huerta; Himer Avila-George; Juan Pablo Rivera Caicedo; Miguel De-la-Torre (IGARSS, 2021)

Intelligent Sampling for Vegetation Nitrogen Mapping Based on Hybrid Machine Learning Algorithms. - Jochem Verrelst; Katja Berger; Juan Pablo Rivera Caicedo (IEEE Geosci. Remote. Sens. Lett., 2021)

A Survey of Active Learning for Quantifying Vegetation Traits from Terrestrial Earth Observation Data. - Katja Berger; Juan Pablo Rivera Caicedo; Luca Martino; Matthias Wocher; Tobias Hank; Jochem Verrelst (Remote. Sens., 2021)

Assessing Non-Photosynthetic Cropland Biomass from Spaceborne Hyperspectral Imagery. - Katja Berger; Tobias Hank; Andrej Halabuk; Juan Pablo Rivera Caicedo; Matthias Wocher; Matej Mojses; Katarina Gerhátová; Giulia Tagliabue; Miguel Morata; Ana Belen Pascual Venteo; Jochem Verrelst (Remote. Sens., 2021)

Top-of-Atmosphere Retrieval of Multiple Crop Traits Using Variational Heteroscedastic Gaussian Processes within a Hybrid Workflow. - José Estévez; Katja Berger; Jorge Vicent 001; Juan Pablo Rivera Caicedo; Matthias Wocher; Jochem Verrelst (Remote. Sens., 2021)

Retrieving and Validating Leaf and Canopy Chlorophyll Content at Moderate Resolution: A Multiscale Analysis with the Sentinel-3 OLCI Sensor. - Charlotte De Grave; Luca Pipia; Bastian Siegmann; Pablo Morcillo Pallarés; Juan Pablo Rivera Caicedo; José Moreno 001; Jochem Verrelst (Remote. Sens., 2021)

Emulation of Sun-Induced Fluorescence from Radiance Data Recorded by the HyPlant Airborne Imaging Spectrometer. - Miguel Morata; Bastian Siegmann; Pablo Morcillo Pallarés; Juan Pablo Rivera Caicedo; Jochem Verrelst (Remote. Sens., 2021)

Emulation of Synthetic Hyperspectral Sentinel-2-Like Reflectance Images Using Neural Networks. - Miguel Morata; Bastian Siegmann; Adrián Pérez-Suay; Juan Pablo Rivera Caicedo; Jochem Verrelst (IGARSS, 2022)

An approach to fill in missing data from satellite imagery using data-intensive computing and DINEOF. - Roberto Lomelí-Huerta; Juan Pablo Rivera Caicedo; Miguel De-la-Torre; Brenda Acevedo-Juárez; Jushiro Cepeda-Morales; Himer Avila-George (PeerJ Comput. Sci., 2022)

Introducing ARTMO's Machine-Learning Classification Algorithms Toolbox: Application to Plant-Type Detection in a Semi-Steppe Iranian Landscape. - Masoumeh Aghababaei; Ataollah Ebrahimi; Ali Asghar Naghipour; Esmaeil Asadi; Adrián Pérez-Suay; Miguel Morata; Jose L. Garcia; Juan Pablo Rivera Caicedo; Jochem Verrelst (Remote. Sens., 2022)

Seasonal Mapping of Irrigated Winter Wheat Traits in Argentina with a Hybrid Retrieval Workflow Using Sentinel-2 Imagery. - Gabriel Caballero; Alejandro Pezzola; Cristina Winschel; Alejandra Casella; Paolo Sanchez Angonova; Juan Pablo Rivera Caicedo; Katja Berger; Jochem Verrelst; Jesús Delegido (Remote. Sens., 2022)

Evaluation of Hybrid Models to Estimate Chlorophyll and Nitrogen Content of Maize Crops in the Framework of the Future CHIME Mission. - Gabriele Candiani; Giulia Tagliabue; Cinzia Panigada; Jochem Verrelst; Valentina Picchi; Juan Pablo Rivera Caicedo; Mirco Boschetti (Remote. Sens., 2022)

Quantifying Fundamental Vegetation Traits over Europe Using the Sentinel-3 OLCI Catalogue in Google Earth Engine. - Pablo Reyes-Muñoz; Luca Pipia; Matías Salinero-Delgado; Santiago Belda; Katja Berger; José Estévez; Miguel Morata; Juan Pablo Rivera Caicedo; Jochem Verrelst (Remote. Sens., 2022)

Prototyping Crop Traits Retrieval Models for CHIME: Dimensionality Reduction Strategies Applied to PRISMA Data. - Ana Belen Pascual Venteo; Enrique Portales; Katja Berger; Giulia Tagliabue; Jose L. Garcia; Adrián Pérez-Suay; Juan Pablo Rivera Caicedo; Jochem Verrelst (Remote. Sens., 2022)

Systematic Assessment of MODTRAN Emulators for Atmospheric Correction. - Jorge Vicent Servera; Juan Pablo Rivera Caicedo; Jochem Verrelst; Jordi Muñoz-Marí; Neus Sabater; Béatrice Berthelot; Gustau Camps-Valls; José F. Moreno (IEEE Trans. Geosci. Remote. Sens., 2022)

Neural Network Emulation of Synthetic Hyperspectral Sentinel-2-Like Imagery With Uncertainty. - Miguel Morata; Bastian Siegmann; Adrián Pérez-Suay; José Luis García-Soria; Juan Pablo Rivera Caicedo; Jochem Verrelst (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

High resolution retrieval of leaf chlorophyll content over Himalayan pine forest using Visible/IR sensors mounted on UAV and radiative transfer model. - Prachi Singh; Prashant K. Srivastava; Jochem Verrelst; R. K. Mall; Juan Pablo Rivera; Vikas Dugesar; Rajendra Prasad (Ecol. Informatics, 2023)

Escalation Risks from Language Models in Military and Diplomatic Decision-Making. - Juan Pablo Rivera; Gabriel Mukobi; Anka Reuel; Max Lamparth; Chandler Smith; Jacquelyn Schneider (FAccT, 2024)

Fusion of Electrical Resistivity Tomography and Satellite Imagery For Precision Agriculture. - Néstor Fernando Delgadillo Jáuregui; Miguel De-la-Torre; Quiriat Jearim Gutiérrez Peña; Ivan E. Villalon-Turrubiates; Juan Pablo Rivera Caicedo (IGARSS, 2024)

Towards Measuring Goal-Directedness in AI Systems. - Dylan Xu; Juan Pablo Rivera (CoRR, 2024)

Multioutput Feature Selection for Emulation and Sensitivity Analysis. - Jorge Vicent Servera; Luca Martino; Jochem Verrelst; Juan Pablo Rivera Caicedo; Gustau Camps-Valls (IEEE Trans. Geosci. Remote. Sens., 2024)