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Inferring causation from time series in Earth system sciences

Nature communications, 2019-06, Vol.10 (1), p.2553-13, Article 2553

2019

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Digital Signal Processing with Kernel Methods

1st, 2018

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On the Impact of Lossy Compression on Hyperspectral Image Classification and Unmixing

IEEE geoscience and remote sensing letters, 2011-03, Vol.8 (2), p.253-257

2011

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Semisupervised One-Class Support Vector Machines for Classification of Remote Sensing Data

IEEE transactions on geoscience and remote sensing, 2010-08, Vol.48 (8), p.3188-3197

2010

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Kernel-Based Framework for Multitemporal and Multisource Remote Sensing Data Classification and Change Detection

IEEE transactions on geoscience and remote sensing, 2008-06, Vol.46 (6), p.1822-1835

2008

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Optical remote sensing and the retrieval of terrestrial vegetation bio-geophysical properties – A review

ISPRS journal of photogrammetry and remote sensing, 2015-10, Vol.108, p.273-290

2015

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A Survey of Active Learning Algorithms for Supervised Remote Sensing Image Classification

IEEE journal of selected topics in signal processing, 2011-06, Vol.5 (3), p.606-617

2011

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Fusing optical and SAR time series for LAI gap fillingwith multioutput Gaussian processes

Remote sensing of environment, 2019-12, Vol.235

2019

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Support Vector Machines for Nonlinear Kernel ARMA System Identification

IEEE transaction on neural networks and learning systems, 2006-11, Vol.17 (6), p.1617-1622

2006

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Multitemporal Cloud Masking in the Google Earth Engine

Remote sensing (Basel, Switzerland), 2018-07, Vol.10 (7), p.1079

2018

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Divisive normalization image quality metric revisited

Journal of the Optical Society of America. A, Optics, image science, and vision, 2010-04, Vol.27 (4), p.852

2010

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SCOPE-Based Emulators for Fast Generation of Synthetic Canopy Reflectance and Sun-Induced Fluorescence Spectra

Remote sensing (Basel, Switzerland), 2017-09, Vol.9 (9), p.927

2017

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Emulation of Leaf, Canopy and Atmosphere Radiative Transfer Models for Fast Global Sensitivity Analysis

Remote sensing (Basel, Switzerland), 2016-08, Vol.8 (8), p.673

2016

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Learning main drivers of crop progress and failure in Europe with interpretable machine learning

International journal of applied earth observation and geoinformation, 2021-12, Vol.104, p.102574, Article 102574

2021

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Sparse Deconvolution Using Support Vector Machines

EURASIP journal on advances in signal processing, 2008-01, Vol.2008 (1), Article 816507

2008

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Estimation of vegetation traits with kernel NDVI

ISPRS journal of photogrammetry and remote sensing, 2023-01, Vol.195, p.408-417

2023

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Fusing optical and SAR time series for LAI gap filling with multioutput Gaussian processes

Remote sensing of environment, 2019-12, Vol.235, p.111452, Article 111452

2019

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Improved forecasting of extreme hurricane events by integrating spatio-temporal CNN-RF learning of tropical cyclone characteristics

Frontiers in earth science (Lausanne), 2023-07, Vol.11

2023

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Causal discovery reveals complex patterns of drought-induced displacement

iScience, 2024-09, Vol.27 (9), p.110628, Article 110628

2024

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An Emulator Toolbox to Approximate Radiative Transfer Models with Statistical Learning

Remote sensing (Basel, Switzerland), 2015-07, Vol.7 (7), p.9347-9370

2015

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Synergistic integration of optical and microwave satellite data for crop yield estimation

Remote sensing of environment, 2019-12, Vol.234, p.111460-111460, Article 111460

2019

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Multispectral high resolution sensor fusion for smoothing and gap-filling in the cloud

Remote sensing of environment, 2020-09, Vol.247, p.111901-111901, Article 111901

2020

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Experimental Sentinel-2 LAI estimation using parametric, non-parametric and physical retrieval methods – A comparison

ISPRS journal of photogrammetry and remote sensing, 2015-10, Vol.108, p.260-272

2015

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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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A unified vegetation index for quantifying the terrestrial biosphere

Science advances, 2021-02, Vol.7 (9)

2021

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Inferring causation from time series in Earth system sciences

Digital Signal Processing with Kernel Methods

On the Impact of Lossy Compression on Hyperspectral Image Classification and Unmixing

Semisupervised One-Class Support Vector Machines for Classification of Remote Sensing Data

Kernel-Based Framework for Multitemporal and Multisource Remote Sensing Data Classification and Change Detection

Optical remote sensing and the retrieval of terrestrial vegetation bio-geophysical properties – A review

A Survey of Active Learning Algorithms for Supervised Remote Sensing Image Classification

Fusing optical and SAR time series for LAI gap fillingwith multioutput Gaussian processes

Support Vector Machines for Nonlinear Kernel ARMA System Identification

Multitemporal Cloud Masking in the Google Earth Engine

Divisive normalization image quality metric revisited

SCOPE-Based Emulators for Fast Generation of Synthetic Canopy Reflectance and Sun-Induced Fluorescence Spectra

Emulation of Leaf, Canopy and Atmosphere Radiative Transfer Models for Fast Global Sensitivity Analysis

Learning main drivers of crop progress and failure in Europe with interpretable machine learning

Sparse Deconvolution Using Support Vector Machines

Estimation of vegetation traits with kernel NDVI

Fusing optical and SAR time series for LAI gap filling with multioutput Gaussian processes

Improved forecasting of extreme hurricane events by integrating spatio-temporal CNN-RF learning of tropical cyclone characteristics

Causal discovery reveals complex patterns of drought-induced displacement

An Emulator Toolbox to Approximate Radiative Transfer Models with Statistical Learning

Synergistic integration of optical and microwave satellite data for crop yield estimation

Multispectral high resolution sensor fusion for smoothing and gap-filling in the cloud

Experimental Sentinel-2 LAI estimation using parametric, non-parametric and physical retrieval methods – A comparison

Hyperspectral dimensionality reduction for biophysical variable statistical retrieval

A unified vegetation index for quantifying the terrestrial biosphere

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