SEDAL SIGNED
Statistical Learning for Earth Observation Data Analysis.
Total Cost €
0EC-Contrib. €
0Partnership
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0SEDAL project word cloud
Explore the words cloud of the SEDAL project. It provides you a very rough idea of what is the project "SEDAL" about.
Project "SEDAL" data sheet
The following table provides information about the project.
| Coordinator |
UNIVERSITAT DE VALENCIA
Organization address contact info |
| Coordinator Country | Spain [ES] |
| Project website | http://isp.uv.es/sedal.html |
| 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 |
Partnership
Take a look of project's partnership.
| # | ||||
|---|---|---|---|---|
| 1 | UNIVERSITAT DE VALENCIA | ES (VALENCIA) | coordinator | 1˙716˙954.00 |
Map
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.
Publications
| year | authors and title | journal | last update |
|---|---|---|---|
| 2017 |
Jochem Verrelst, Juan Rivera Caicedo, Jordi Muñoz-MarÃ, 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-MarÃ, 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.
http://isp.uv.es/papers/Tramontana16bg.pdf 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, VÃctor 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 GarcÃa-Haro, Lorenzo Busetto, Luigi Ranghetti, Beatriz MartÃnez, MarÃa 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 GarcÃa-Haro, Manuel Campos-Taberner, Jordi Muñoz-MarÃ, 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-MarÃ, 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 GarcÃa-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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