Opendata, web and dolomites


Statistical Learning for Earth Observation Data Analysis.

Total Cost €


EC-Contrib. €






Project "SEDAL" data sheet

The following table provides information about the project.


Organization address
postcode: 46010

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Spain [ES]
 Project website
 Total cost 1˙716˙954 €
 EC max contribution 1˙716˙954 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2014-CoG
 Funding Scheme ERC-COG
 Starting year 2015
 Duration (year-month-day) from 2015-09-01   to  2020-08-31


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITAT DE VALENCIA ES (VALENCIA) coordinator 1˙716˙954.00


 Project objective

SEDAL is an interdisciplinary project that aims to develop novel statistical learning methods to analyze Earth Observation (EO) satellite data. In the last decade, machine learning models have helped to monitor land, oceans, and atmosphere through the analysis and estimation of climate and biophysical parameters. Current approaches, however, cannot deal efficiently with the particular characteristics of remote sensing data. In the coming few years, this problem will largely increase: several satellite missions, such as the operational EU Copernicus Sentinels, will be launched, and we will face the urgent need to process and understand huge amounts of complex, heterogeneous, multisource, and structured data to monitor the rapid changes already occurring in our Planet.

SEDAL aims to develop the next generation of statistical inference methods for EO data analysis. We will develop advanced regression methods to improve efficiency, prediction accuracy and uncertainties, encode physical knowledge about the problem, and attain self-explanatory models learned from empirical data. Even more importantly, we will learn graphical causal models to explain the potentially complex interactions between key observed variables, and discover hidden essential drivers and confounding factors. This project will thus aboard the fundamental problem of moving from correlation to dependence and then to causation through EO data analysis. The theoretical developments will be guided by the challenging problems of estimating biophysical parameters and learning causal relations at both local and global planetary scales.

The long-term vision of SEDAL is tied to open new frontiers and foster research towards algorithms capable of discovering knowledge from EO data, a stepping stone before the more ambitious far-end goal of machine reasoning of anthropogenic climate change.


year authors and title journal last update
List of publications.
2017 Jochem Verrelst, Juan Rivera Caicedo, Jordi Muñoz-Marí, Gustau Camps-Valls, José Moreno
SCOPE-Based Emulators for Fast Generation of Synthetic Canopy Reflectance and Sun-Induced Fluorescence Spectra
published pages: 927, ISSN: 2072-4292, DOI: 10.3390/rs9090927
Remote Sensing 9/9 2019-06-06
2017 Adeline Bailly, Laetitia Chapel, Romain Tavenard, Gustau Camps-Valls
Nonlinear Time-Series Adaptation for Land Cover Classification
published pages: 896-900, ISSN: 1545-598X, DOI: 10.1109/LGRS.2017.2686639
IEEE Geoscience and Remote Sensing Letters 14/6 2019-06-06
2017 Adrián Pérez-Suay, Julia Amorós-López, Luis Gómez-Chova, Valero Laparra, Jordi Muñoz-Marí, Gustau Camps-Valls
Randomized kernels for large scale Earth observation applications
published pages: , ISSN: 0034-4257, DOI: 10.1016/j.rse.2017.02.009
Remote Sensing of Environment 2019-06-06
2016 Jochem Verrelst, Juan Pablo Rivera, Anatoly Gitelson, Jesus Delegido, José Moreno and Camps-Valls, G.
Spectral Band Selection for Vegetation Properties Retrieval using Gaussian Processes Regression
published pages: 554–567, ISSN: 0303-2434, DOI: 10.1016/j.jag.2016.07.016
International Journal of Applied Earth Observation and Geoinformation 52 2019-06-06
2016 Tramontana, G. and Jung, M. and Camps-Valls, G. and Ichii, K. and Raduly, B. and Reichstein, M. and Schwalm, C. R. and Arain, M. A. and Cescatti, A. and Kiely, G. and Merbold, L. and Serrano-Ortiz, P. and Sickert, S. and Wolf, S. and Papale, D.
Predicting carbon dioxide and energy fluxes across global FLUXNET sites with regression algorithms
published pages: 4291-4313, ISSN: 1726-4189, DOI: 10.5194/bg-2015-661
Biogeosciences Discussions 13 2019-06-06
2017 Sujan Koirala, Martin Jung, Markus Reichstein, Inge E. M. de Graaf, Gustau Camps-Valls, Kazuhito Ichii, Dario Papale, Botond Ráduly, Christopher R. Schwalm, Gianluca Tramontana, Nuno Carvalhais
Global distribution of groundwater-vegetation spatial covariation
published pages: , ISSN: 0094-8276, DOI: 10.1002/2017GL072885
Geophysical Research Letters 2019-06-06
2018 Luca Martino, Víctor Elvira, Gustau Camps-Valls
The Recycling Gibbs sampler for efficient learning
published pages: 1-13, ISSN: 1051-2004, DOI: 10.1016/j.dsp.2017.11.012
Digital Signal Processing 74 2019-06-06
2016 Verrelst, Jochem and Sabater, Neus and Rivera, Juan Pablo and Munoz-Mari, Jordi and Vicent, Jorge and Camps-Valls, Gustau and Moreno, José
Emulation of Leaf, Canopy and Atmosphere Radiative Transfer Models for Fast Global Sensitivity Analysis
published pages: 673, ISSN: 2072-4292, DOI: 10.3390/rs8080673
Remote Sensing 8-8 2019-06-06
2018 Daniel Heestermans Svendsen, Luca Martino, Manuel Campos-Taberner, Francisco Javier Garcia-Haro, Gustau Camps-Valls
Joint Gaussian Processes for Biophysical Parameter Retrieval
published pages: 1718-1727, ISSN: 0196-2892, DOI: 10.1109/TGRS.2017.2767205
IEEE Transactions on Geoscience and Remote Sensing 56/3 2019-06-06
2018 Manuel Campos-Taberner, Francisco García-Haro, Lorenzo Busetto, Luigi Ranghetti, Beatriz Martínez, María Amparo Gilabert, Gustau Camps-Valls, Fernando Camacho, Mirco Boschetti
A Critical Comparison of Remote Sensing Leaf Area Index Estimates over Rice-Cultivated Areas: From Sentinel-2 and Landsat-7/8 to MODIS, GEOV1 and EUMETSAT Polar System
published pages: 763, ISSN: 2072-4292, DOI: 10.3390/rs10050763
Remote Sensing 10/5 2019-06-06
2017 L. Martino
Parsimonious adaptive rejection sampling
published pages: 1115-1117, ISSN: 0013-5194, DOI: 10.1049/el.2017.1711
Electronics Letters 53/16 2019-06-06
2017 Marieke Eleveld, Ana Ruescas, Annelies Hommersom, Timothy Moore, Steef Peters, Carsten Brockmann
An Optical Classification Tool for Global Lake Waters
published pages: 420, ISSN: 2072-4292, DOI: 10.3390/rs9050420
Remote Sensing 9/5 2019-06-06
2017 Martin Jung, Markus Reichstein, Christopher R. Schwalm, Chris Huntingford, Stephen Sitch, Anders Ahlström, Almut Arneth, Gustau Camps-Valls, Philippe Ciais, Pierre Friedlingstein, Fabian Gans, Kazuhito Ichii, Atul K. Jain, Etsushi Kato, Dario Papale, Ben Poulter, Botond Raduly, Christian Rödenbeck, Gianluca Tramontana, Nicolas Viovy, Ying-Ping Wang, Ulrich Weber, Sönke Zaehle, Ning Zeng
Compensatory water effects link yearly global land CO2 sink changes to temperature
published pages: 516-520, ISSN: 0028-0836, DOI: 10.1038/nature20780
Nature 541/7638 2019-06-06
2018 Luca Martino
A review of multiple try MCMC algorithms for signal processing
published pages: 134-152, ISSN: 1051-2004, DOI: 10.1016/j.dsp.2018.01.004
Digital Signal Processing 75 2019-06-06
2017 Garcia Sobrino, J. and Serra-Sagrista and Laparra, V. and Calbet, X. and Camps-Valls, G.
Statistical Atmospheric Parameter Retrieval Largely Benefits from Spatial-Spectral Image Compression
published pages: 1-12, ISSN: 0196-2892, DOI: 10.1109/TGRS.2016.2639099
IEEE Transactions on Geoscience and Remote Sensing 55-4 2019-06-06
2018 Francisco Javier García-Haro, Manuel Campos-Taberner, Jordi Muñoz-Marí, Valero Laparra, Fernando Camacho, Jorge Sánchez-Zapero, Gustau Camps-Valls
Derivation of global vegetation biophysical parameters from EUMETSAT Polar System
published pages: 57-74, ISSN: 0924-2716, DOI: 10.1016/j.isprsjprs.2018.03.005
ISPRS Journal of Photogrammetry and Remote Sensing 139 2019-06-06
2018 Ana Ruescas, Martin Hieronymi, Gonzalo Mateo-Garcia, Sampsa Koponen, Kari Kallio, Gustau Camps-Valls
Machine Learning Regression Approaches for Colored Dissolved Organic Matter (CDOM) Retrieval with S2-MSI and S3-OLCI Simulated Data
published pages: 786, ISSN: 2072-4292, DOI: 10.3390/rs10050786
Remote Sensing 10/5 2019-06-06
2016 Tuia, D. and Marcos, D. and Camps-Valls, G.
Multi-temporal and Multi-source Remote Sensing Image Classification by Nonlinear Relative Normalization
published pages: 1-12, ISSN: 0924-2716, DOI: 10.1016/j.isprsjprs.2016.07.004
ISPRS Journal of Photogrammetry and Remote Sensing 120 2019-06-06
2018 Irene E. Teubner, Matthias Forkel, Martin Jung, Yi Y. Liu, Diego G. Miralles, Robert Parinussa, Robin van der Schalie, Mariette Vreugdenhil, Christopher R. Schwalm, Gianluca Tramontana, Gustau Camps-Valls, Wouter A. Dorigo
Assessing the relationship between microwave vegetation optical depth and gross primary production
published pages: 79-91, ISSN: 0303-2434, DOI: 10.1016/j.jag.2017.10.006
International Journal of Applied Earth Observation and Geoinformation 65 2019-06-06
2018 Pablo Morales-Alvarez, Adrian Perez-Suay, Rafael Molina, Gustau Camps-Valls
Remote Sensing Image Classification With Large-Scale Gaussian Processes
published pages: 1103-1114, ISSN: 0196-2892, DOI: 10.1109/TGRS.2017.2758922
IEEE Transactions on Geoscience and Remote Sensing 56/2 2019-06-06
2017 Manuel Campos-Taberner, M. and Garcia-Haro, F.J and Camps-Valls, G. and Grau-Muedra, G. and Nutini, F. and Busetto, L. and Katsantonis, D. and Stavrakoudis, D. and Minakou, C. and Gatti, L. and Barbieri, M. and Holecz, F. and Stroppiana, D. and Boschetti, M.
Exploitation of SAR and optical Sentinel data to detect rice crop and estimate seasonal dynamics of leaf area index
published pages: 248, ISSN: 2072-4292, DOI: 10.3390/rs9030248
Remote Sensing 9-3 2019-06-06
2016 Verrelst, J. and Dethier, S. and Rivera, J.P. and Muñoz-Marí, J. and Camps-Valls, G. and Moreno, J.
Active learning methods for efficient hybrid biophysical variable retrieval
published pages: 1012-1016, ISSN: 1558-0571, DOI: 10.1109/LGRS.2016.2560799
IEEE Geoscience and Remote Sensing Letters 13-7 2019-06-06
2017 Blix, K. and Jenssen, R. and Camps-Valls, Gustau
Gaussian Process Sensitivity Analysis for Oceanic Chlorophyll Estimation
published pages: 1-13, ISSN: 2151-1535, DOI: 10.1109/JSTARS.2016.2641583
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 99 2019-06-06
2016 Manuel Campos-Taberner and Francisco Javier García-Haro and Gustau Camps-Valls and Gonçal Grau-Muedra and Francesco Nutini and Alberto Crema and Mirco Boschetti
Multitemporal and multiresolution leaf area index retrieval for operational local rice crop monitoring
published pages: 102-118, ISSN: 0034-4257, DOI: 10.1016/j.rse.2016.10.009
Remote Sensing of Environment 187 2019-06-06
2016 Gustau Camps-Valls, Jochem Verrelst, Jordi Munoz-Mari, Valero Laparra, Fernando Mateo-Jimenez, Jose Gomez-Dans
A Survey on Gaussian Processes for Earth-Observation Data Analysis: A Comprehensive Investigation
published pages: 58-78, ISSN: 2168-6831, DOI: 10.1109/MGRS.2015.2510084
IEEE Geoscience and Remote Sensing Magazine 4/2 2019-06-06
2017 Gustau Camps-Valls and Thomas Hickler and Birgitta König-Ries
Computer Science Meets Ecology (Dagstuhl Seminar 17091)
published pages: , ISSN: 2192-5283, DOI: 10.4230/DagRep.7.2.109
Dagstuhl Reports 2019-06-06
2017 Adrián Pérez-Suay, Gustau Camps-Valls
Sensitivity Maps of the Hilbert-Schmidt Independence Criterion
published pages: , ISSN: 1568-4946, DOI: 10.1016/j.asoc.2017.04.024
Applied Soft Computing 2019-06-06
2016 G. Camps-Valls
Kernel spectral angle mapper
published pages: 1218-1220, ISSN: 0013-5194, DOI: 10.1049/el.2016.0661
Electronics Letters 52/14 2019-06-06
2016 Devis Tuia, Gustau Camps-Valls
Kernel Manifold Alignment for Domain Adaptation
published pages: e0148655, ISSN: 1932-6203, DOI: 10.1371/journal.pone.0148655
PLOS ONE 11/2 2019-06-06

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