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JulioContrerasH committed Jan 7, 2025
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40 changes: 20 additions & 20 deletions assets/bibfiles/conferences.bib
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Expand Up @@ -791,7 +791,7 @@ @inproceedings{Martinez23egu
organization = {EGU},
project = {usmile}
}
@inproceedings{9897849,
@inproceedings{Laparra2022,
title = {{Orthonormal Convolutions for the Rotation Based Iterative Gaussianization}},
author = {Laparra, Valero and Hepburn, Alexander and Johnson, J. Emmanuel and Malo, Jesús},
year = 2022,
Expand Down Expand Up @@ -1256,7 +1256,7 @@ @inproceedings{Anand22egu
organization = {EGU},
project = {xaida}
}
@inproceedings{9553132,
@inproceedings{Portal2021,
title = {{Incidence Angle Diversity on L-Band Microwave Radiometry and Its Impact on Consistent Soil Moisture Retrievals}},
author = {Portal, Gerard and Vall-llossera, Mercè and Jagdhuber, Thomas and Camps, Adriano and Pablos', Miriam and Piles, María},
year = 2021,
Expand All @@ -1266,7 +1266,7 @@ @inproceedings{9553132
pages = {6186--6189},
doi = {10.1109/IGARSS47720.2021.9553132}
}
@inproceedings{9554872,
@inproceedings{Chaparro2021,
title = {{Global L-Band Vegetation Volume Fraction Estimates for Modeling Vegetation Optical Depth}},
author = {Chaparro, David and Jagdhuber, Thomas and Piles, María and Entekhabi, Dara and Jonard, François and Fluhrer, Anke and Feldman, Andrew and Vall-llossera, Mercé and Camps, Adriano},
year = 2021,
Expand All @@ -1276,7 +1276,7 @@ @inproceedings{9554872
pages = {6399--6402},
doi = {10.1109/IGARSS47720.2021.9554872}
}
@inproceedings{9554622,
@inproceedings{Jagdhuber2021,
title = {{Retrieval of Forest Water Potential from L-Band Vegetation Optical Depth}},
author = {Jagdhuber, T. and Fluhrer, A. and Schmidt, A.-S. and Jonard, F. and Chaparro, D. and Meyer, T. and Holtzman, N. and Konings, A. G. and Feldman, A. and Baur, M. and Piles, M. and Entekhabi, D.},
year = 2021,
Expand All @@ -1286,9 +1286,9 @@ @inproceedings{9554622
pages = {5949--5952},
doi = {10.1109/IGARSS47720.2021.9554622}
}
@inproceedings{2021EGUGA..2316478P,
@inproceedings{Piles2021,
title = {{Synergistic use of SMOS and Sentinel-3 for retrieving spatiotemporally estimates of surface soil moisture and evaporative fraction}},
author = {{Piles}, Maria and {Pablos Hernandez}, Miriam and {Vall-llossera}, Merc{\`e} and {Portal}, Gerard and {Sandric}, Ionut and {Petropoulos}, George P. and {Hristopulos}, Dionisis},
author = {Piles, Maria and Pablos Hernandez, Miriam and Vall-llossera, Mercè and Portal, Gerard and Sandric, Ionut and Petropoulos, George P. and Hristopulos, Dionisis},
year = 2021,
month = apr,
booktitle = {EGU General Assembly Conference Abstracts},
Expand Down Expand Up @@ -2105,9 +2105,9 @@ @inproceedings{mateo-garcia_domain_2019
doi = {https://dx.doi.org/10.1109/IGARSS.2019.8899193},
note = {ISSN: 2153-6996}
}
@inproceedings{8900244,
@inproceedings{Chaparro2019,
title = {{Mapping Carbon Stocks In Central And South America With Smap Vegetation Optical Depth}},
author = {D. {Chaparro} and G. {Duveiller} and M. {Piles} and M. {Vall-llossera} and A. {Cescatti} and A. {Camps} and D. {Entekhabi}},
author = {D. Chaparro and G. Duveiller and M. Piles and M. Vall-llossera and A. Cescatti and A. Camps and D. Entekhabi},
year = 2019,
month = jul,
booktitle = {IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium},
Expand All @@ -2118,9 +2118,9 @@ @inproceedings{8900244
issn = {2153-6996},
keywords = {carbon;optical radar;remote sensing;remote sensing by laser beam;vegetation;vegetation mapping;mapping carbon stocks;South America;smap Vegetation Optical Depth;climate change mitigation;passive microwave remote sensing;deep canopy layers;Vegetation Optical Depth parameter;optical vegetation indices;airborne Lidar data;higher penetration capacity;airborne carbon maps;SMAP L-band VOD;Vegetation Index;carbon variability;resulting VOD-derived carbon estimates;size 9.0 km;Carbon;Vegetation mapping;L-band;Optical sensors;Forestry;Biomedical optical imaging;Carbon modelling;vegetation optical depth;tropical forests;L-band;climate change.}
}
@inproceedings{8900273,
@inproceedings{Pablos2019,
title = {{Influence of Quality Filtering Approaches in BEC SMOS L3 Soil Moisture Products}},
author = {M. {Pablos} and M. {Vall-llossera} and M. {Piles} and A. {Camps} and C. {González-Haro} and A. {Turiel} and C. J. {Herbert} and D. {Chaparro} and G. {Portal}},
author = {M. Pablos and M. Vall-llossera and M. Piles and A. Camps and C. González-Haro and A. Turiel and C. J. Herbert and D. Chaparro and G. Portal},
year = 2019,
month = jul,
booktitle = {IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium},
Expand All @@ -2131,9 +2131,9 @@ @inproceedings{8900273
issn = {2153-6996},
keywords = {hydrological techniques;moisture;remote sensing;soil;binning approach;DQX-based L3 SM;BEC SMOS L3 SM products;Quality filtering approaches;BEC SMOS L3 Soil Moisture Products;Global Soil Moisture;Ocean Salinity Level 3 soil moisture products;SMOS Level 2 SM;SM retrievals;Data Quality Index;latest L2 release;DQX-based BEC;Soil moisture;Meteorology;Temperature measurement;Orbits;Filtering;Correlation;Extraterrestrial measurements;SMOS;soil moisture;DQX;chisquared}
}
@inproceedings{8897823,
@inproceedings{Meyer2019,
title = {{Estimation Of Volume Fraction And Gravimetric Moisture Of Winter Wheat Based On Microwave Attenuation: A Field Scale Study}},
author = {T. {Meyer} and T. {Jagdhuber} and M. {Piles} and A. {Fluhrer} and F. {Jonard}},
author = {T. Meyer and T. Jagdhuber and M. Piles and A. Fluhrer and F. Jonard},
year = 2019,
month = jul,
booktitle = {IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium},
Expand Down Expand Up @@ -3581,7 +3581,7 @@ @inproceedings{Walther2016
url = {https://agu.confex.com/agu/fm16/meetingapp.cgi/Paper/179882},
project = {sedal}
}
@inproceedings{7325686,
@inproceedings{Laparra2015,
title = {{Large-scale random features for kernel regression}},
author = {Laparra, V. and Gonzalez, D.M. and Tuia, D. and Camps-Valls, G.},
year = 2015,
Expand All @@ -3593,7 +3593,7 @@ @inproceedings{7325686
keywords = {geophysics computing;learning (artificial intelligence);operating system kernels;random processes;regression analysis;remote sensing;Fourier domain;PROSAIL radiative transfer models;Walsh expansions;atmospheric parameter retrieval;biogeophysical parameters;biophysical parameter retrieval;geosciences;high computational cost;infrared sounders;kernel matrix;kernel regression analysis;kernel regression methods;large scale problems;large-scale random features;machine learning algorithms;radiative transfer model inversion;random bases;random kitchen sink method;remote sensing;simulated Sentinel- 2 data;statistical retrieval;Accuracy;Approximation methods;Atmospheric modeling;Biological system modeling;Computational modeling;Kernel;Remote sensing},
project = {sedal,kermes}
}
@inproceedings{7325843,
@inproceedings{Verrelst2015,
title = {{Replacing radiative transfer models by surrogate approximations through machine learning}},
author = {Verrelst, J. and Rivera, J.P. and Gomez-Dans, J. and Camps-Valls, G. and Moreno, J.},
year = 2015,
Expand All @@ -3604,7 +3604,7 @@ @inproceedings{7325843
url = {http://www.igarss2015.org/},
keywords = {geophysical techniques;learning (artificial intelligence);radiative transfer;Earth surface;Emulator toolbox;computational efficiency;data-driven machine learning algorithms;multioutput machine learning regression algorithms;physically-based radiative transfer models;statistical models;sun-induced fluorescence;surrogate approximations;Accuracy;Approximation methods;Biological system modeling;Computational modeling;Fluorescence;Table lookup;Training;ARTMO;Emulator;FLEX;Fluorescence;multi-output regression algorithms}
}
@inproceedings{7325936,
@inproceedings{Blix2015,
title = {{Sensitivity analysis of Gaussian processes for oceanic chlorophyll prediction}},
author = {Blix, K. and Camps-Valls, G. and Jenssen, R.},
year = 2015,
Expand All @@ -3616,7 +3616,7 @@ @inproceedings{7325936
project = {sedal},
keywords = {Gaussian distribution;ocean composition;oceanographic techniques;regression analysis;remote sensing;GPR ocean chlorophyll content;Gaussian processes regression;SA ocean chlorophyll content;case-1 water condition;case-2 water condition;chlorophyll content mapping;machine learning;nonlinear kernel regression method;oceanic chlorophyll prediction;probabilistic approach;regression process;remotely sensed data;sensitivity analysis;spec- tral bands;Biological system modeling;Gaussian processes;Ground penetrating radar;Oceans;Remote sensing;Sensitivity analysis;Gaussian Process Regression (GPR);Kernel methods;Oceanic Chlorophyll Prediction;Sensitivity Analysis (SA)}
}
@inproceedings{7326341,
@inproceedings{Gonzalez2015,
title = {{Weakly supervised alignment of multisensor images}},
author = {Gonzalez, D.M. and Camps-Valls, G. and Tuia, D.},
year = 2015,
Expand All @@ -3627,7 +3627,7 @@ @inproceedings{7326341
url = {http://www.igarss2015.org/},
keywords = {geophysical image processing;geophysical techniques;Gaussian radial basis function;WorldView 2 image;geographic image correspondences;image-specific ground truth;manifold alignment;multisensor images supervised alignment;Manifolds;Predictive models;Remote sensing;Semantics;Sensors;Support vector machines;Training}
}
@inproceedings{7326744,
@inproceedings{Campos2015,
title = {{Shared feature representations of LiDAR and optical images: Trading sparsity for semantic discrimination}},
author = {Campos-Taberner, M. and Romero, A. and Gatta, C. and Camps-Valls, G.},
year = 2015,
Expand All @@ -3638,7 +3638,7 @@ @inproceedings{7326744
url = {http://www.igarss2015.org/},
keywords = {data visualisation;feature extraction;neural nets;optical images;optical radar;pattern clustering;remote sensing by laser beam;remote sensing by radar;clustering data visualization;colored edge filters;derived basis functions;discriminative power;high resolution LiDAR image;joint feature representations;lifetime sparsity score;optical image;population sparsity score;shared feature representations;topological data visualization;unsupervised convolutional neural network;unsupervised spatial-spectral feature extraction;Feature extraction;Image color analysis;Joints;Laser radar;Semantics;Sociology;Statistics}
}
@inproceedings{7326806,
@inproceedings{Camps2015,
title = {{Ranking drivers of global carbon and energy fluxes over land}},
author = {Camps-Valls, G. and Jung, M. and Ichii, K. and Papale, D. and Tramontana, G. and Bodesheim, P. and Schwalm, C. and Zscheischler, J. and Mahecha, M. and Reichstein, M.},
year = 2015,
Expand Down Expand Up @@ -4087,7 +4087,7 @@ @inproceedings{Laparra2012
art_number = 6349786,
document_type = {Conference Paper}
}
@inproceedings{6005053,
@inproceedings{Amoros2011,
title = {{Multitemporal fusion of Landsat and MERIS images}},
author = {Amoros-Lopez, J. and Gómez-Chova, L. and Guanter, L. and Alonso, L. and Moreno, J. and Camps-Valls, G.},
year = 2011,
Expand All @@ -4097,7 +4097,7 @@ @inproceedings{6005053
doi = {http://dx.doi.org/10.1109/Multi-Temp.2011.6005053},
keywords = {AD 2004;Albacete;ENVISAT sensor;Earth dynamics;Landsat TM sensor;Landsat multitemporal fusion;MERIS image multitemporal fusion;MERIS sensor;NDVI;Spain;agricultural monitoring method;cloud cover probability;coarser spatial resolution;environmental change analysis;high spatial resolution sensors;image time series;land cover change;land use change;remote sensing community;temporal image series;temporal resolution;vegetation dynamics monitoring;agriculture;geophysical image processing;image fusion;image resolution;image sensors;terrain mapping;time series;vegetation mapping;}
}
@inproceedings{6050035,
@inproceedings{Gomez2011,
title = {{Kernel entropy component analysis in remote sensing data clustering}},
author = {Gómez-Chova, Luis and Jenssen, Robert and Camps-Valls, Gustavo},
year = 2011,
Expand Down
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