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A Survey of Active Learning for Quantifying Vegetation Traits from Terrestrial Earth Observation Data

Remote sensing (Basel, Switzerland), 2021-01, Vol.13 (2), p.287-287

2021

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Global Sensitivity Analysis of Leaf-Canopy-Atmosphere RTMs: Implications for Biophysical Variables Retrieval from Top-of-Atmosphere Radiance Data

Remote sensing (Basel, Switzerland), 2019-08, Vol.11 (16), p.1923-1923

2019

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Systematic Assessment of MODTRAN Emulators for Atmospheric Correction

IEEE transactions on geoscience and remote sensing, 2022-01, Vol.60, p.1-17

2022

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Quantifying Fundamental Vegetation Traits over Europe Using the Sentinel-3 OLCI Catalogue in Google Earth Engine

Remote sensing (Basel, Switzerland), 2022-03, Vol.14 (6), p.1347-1347

2022

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Prototyping Crop Traits Retrieval Models for CHIME: Dimensionality Reduction Strategies Applied to PRISMA Data

Remote sensing (Basel, Switzerland), 2022-05, Vol.14 (10), p.2448-2448

2022

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Evaluation of Hybrid Models to Estimate Chlorophyll and Nitrogen Content of Maize Crops in the Framework of the Future CHIME Mission

Remote sensing (Basel, Switzerland), 2022-04, Vol.14 (8), p.1792-1792

2022

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Quantifying the Robustness of Vegetation Indices through Global Sensitivity Analysis of Homogeneous and Forest Leaf-Canopy Radiative Transfer Models

Remote sensing (Basel, Switzerland), 2019-10, Vol.11 (20), p.2418-2418

2019

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Toward a Semiautomatic Machine Learning Retrieval of Biophysical Parameters

IEEE journal of selected topics in applied earth observations and remote sensing, 2014-04, Vol.7 (4), p.1249-1259

2014

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Comparative analysis of atmospheric radiative transfer models using the Atmospheric Look-up table Generator (ALG) toolbox (version 2.0)

Geoscientific Model Development, 2020-04, Vol.13 (4), p.1945-1957

2020

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Seasonal Mapping of Irrigated Winter Wheat Traits in Argentina with a Hybrid Retrieval Workflow Using Sentinel-2 Imagery

Remote sensing (Basel, Switzerland), 2022-09, Vol.14 (18), p.4531-4531

2022

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Emulation as an Accurate Alternative to Interpolation in Sampling Radiative Transfer Codes

IEEE journal of selected topics in applied earth observations and remote sensing, 2018-12, Vol.11 (12), p.4918-4931

2018

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Introducing ARTMO’s Machine-Learning Classification Algorithms Toolbox: Application to Plant-Type Detection in a Semi-Steppe Iranian Landscape

Remote sensing (Basel, Switzerland), 2022-09, Vol.14 (18), p.4452-4452

2022

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Intelligent Sampling for Vegetation Nitrogen Mapping Based on Hybrid Machine Learning Algorithms

IEEE geoscience and remote sensing letters, 2021-12, Vol.18 (12), p.2038-2042

2021

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Approximating Empirical Surface Reflectance Data through Emulation: Opportunities for Synthetic Scene Generation

Remote sensing (Basel, Switzerland), 2019-01, Vol.11 (2), p.157-157

2019

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Mapping landscape canopy nitrogen content from space using PRISMA data

ISPRS journal of photogrammetry and remote sensing, 2021-08, Vol.178, p.382-395

2021

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

Agronomy (Basel), 2024-02, Vol.14 (3), p.493

2024

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DATimeS: A machine learning time series GUI toolbox for gap-filling and vegetation phenology trends detection

Environmental modelling & software : with environment data news, 2020-05, Vol.127, p.104666, Article 104666

2020

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Hyperspectral dimensionality reduction for biophysical variable statistical retrieval

ISPRS journal of photogrammetry and remote sensing, 2017-10, Vol.132, p.88-101

2017

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Hybrid retrieval of crop traits from multi-temporal PRISMA hyperspectral imagery

ISPRS journal of photogrammetry and remote sensing, 2022-05, Vol.187, p.362-377

2022

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Quantifying vegetation biophysical variables from the Sentinel-3/FLEX tandem mission: Evaluation of the synergy of OLCI and FLORIS data sources

Remote sensing of environment, 2020-12, Vol.251, p.112101, Article 112101

2020

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An approach to fill in missing data from satellite imagery using data-intensive computing and DINEOF

PeerJ. Computer science, 2022-05, Vol.8, p.e979-e979, Article e979

2022

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Gaussian processes retrieval of LAI from Sentinel-2 top-of-atmosphere radiance data

ISPRS journal of photogrammetry and remote sensing, 2020-09, Vol.167, p.289-304

2020

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Multioutput Feature Selection for Emulation and Sensitivity Analysis

IEEE transactions on geoscience and remote sensing, 2024, Vol.62, p.1-11

2024

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Improving the remote estimation of soil organic carbon in complex ecosystems with Sentinel-2 and GIS using Gaussian processes regression

Plant and soil, 2022-10, Vol.479 (1-2), p.159-183

2022

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Top-of-Atmosphere Retrieval of Multiple Crop Traits Using Variational Heteroscedastic Gaussian Processes within a Hybrid Workflow

Remote sensing (Basel, Switzerland), 2021-04, Vol.13 (8), p.1589-1589

2021

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A Survey of Active Learning for Quantifying Vegetation Traits from Terrestrial Earth Observation Data

Global Sensitivity Analysis of Leaf-Canopy-Atmosphere RTMs: Implications for Biophysical Variables Retrieval from Top-of-Atmosphere Radiance Data

Systematic Assessment of MODTRAN Emulators for Atmospheric Correction

Quantifying Fundamental Vegetation Traits over Europe Using the Sentinel-3 OLCI Catalogue in Google Earth Engine

Prototyping Crop Traits Retrieval Models for CHIME: Dimensionality Reduction Strategies Applied to PRISMA Data

Evaluation of Hybrid Models to Estimate Chlorophyll and Nitrogen Content of Maize Crops in the Framework of the Future CHIME Mission

Quantifying the Robustness of Vegetation Indices through Global Sensitivity Analysis of Homogeneous and Forest Leaf-Canopy Radiative Transfer Models

Toward a Semiautomatic Machine Learning Retrieval of Biophysical Parameters

Comparative analysis of atmospheric radiative transfer models using the Atmospheric Look-up table Generator (ALG) toolbox (version 2.0)

Seasonal Mapping of Irrigated Winter Wheat Traits in Argentina with a Hybrid Retrieval Workflow Using Sentinel-2 Imagery

Emulation as an Accurate Alternative to Interpolation in Sampling Radiative Transfer Codes

Introducing ARTMO’s Machine-Learning Classification Algorithms Toolbox: Application to Plant-Type Detection in a Semi-Steppe Iranian Landscape

Intelligent Sampling for Vegetation Nitrogen Mapping Based on Hybrid Machine Learning Algorithms

Approximating Empirical Surface Reflectance Data through Emulation: Opportunities for Synthetic Scene Generation

Mapping landscape canopy nitrogen content from space using PRISMA data

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

DATimeS: A machine learning time series GUI toolbox for gap-filling and vegetation phenology trends detection

Hyperspectral dimensionality reduction for biophysical variable statistical retrieval

Hybrid retrieval of crop traits from multi-temporal PRISMA hyperspectral imagery

Quantifying vegetation biophysical variables from the Sentinel-3/FLEX tandem mission: Evaluation of the synergy of OLCI and FLORIS data sources

An approach to fill in missing data from satellite imagery using data-intensive computing and DINEOF

Gaussian processes retrieval of LAI from Sentinel-2 top-of-atmosphere radiance data

Multioutput Feature Selection for Emulation and Sensitivity Analysis

Improving the remote estimation of soil organic carbon in complex ecosystems with Sentinel-2 and GIS using Gaussian processes regression

Top-of-Atmosphere Retrieval of Multiple Crop Traits Using Variational Heteroscedastic Gaussian Processes within a Hybrid Workflow

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