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pro vyhledávání: '"Piles M"'
The recent work by (Rieger et al 2021) is concerned with the problem of extracting features from spatio-temporal geophysical signals. The authors introduce the complex rotated MCA (xMCA) to deal with lagged effects and non-orthogonality of the featur
Externí odkaz:
http://arxiv.org/abs/2212.07635
Publikováno v:
In animal - open space December 2024 3
Publikováno v:
In animal November 2024 18(11)
Autor:
Salcedo-Sanz, S., Casillas-Pérez, D., Del Ser, J., Casanova-Mateo, C., Cuadra, L., Piles, M., Camps-Valls, G.
Publikováno v:
Physics Reports, Volume 957, 29 April 2022, Pages 1-73
Persistence is an important characteristic of many complex systems in nature, related to how long the system remains at a certain state before changing to a different one. The study of complex systems' persistence involves different definitions and u
Externí odkaz:
http://arxiv.org/abs/2205.02082
Autor:
Salcedo-Sanz, S., Ghamisi, P., Piles, M., Werner, M., Cuadra, L., Moreno-Martínez, A., Izquierdo-Verdiguier, E., Muñoz-Marí, J., Mosavi, Amirhosein, Camps-Valls, G.
Publikováno v:
Information Fusion, Volume 63, November 2020, Pages 256-272
This paper reviews the most important information fusion data-driven algorithms based on Machine Learning (ML) techniques for problems in Earth observation. Nowadays we observe and model the Earth with a wealth of observations, from a plethora of dif
Externí odkaz:
http://arxiv.org/abs/2012.05795
Publikováno v:
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
In this study the framework of the $\tau$-$\omega$ model is used to derive vegetation loss coefficients and canopy penetration depths from SMAP multi-temporal retrievals of vegetation optical depth, single scattering albedo and ICESat lidar vegetatio
Externí odkaz:
http://arxiv.org/abs/2012.03318
Autor:
Sánchez, N., González-Zamora, A., Martínez-Fernández, J., Piles, M., Pablos, M., Wardlow, Brian, Tadesse, Tsegaye, Svoboda, Mark
Publikováno v:
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
An application of the Soil Moisture Agricultural Drought Index (SMADI) at the global scale is presented. The index integrates surface soil moisture from the SMOS mission with land surface temperature (LST) and Normalized Difference Vegetation Index (
Externí odkaz:
http://arxiv.org/abs/2012.03313
The ESA's SMOS and the NASA's SMAP missions, launched in 2009 and 2015, respectively, are the first two missions having on-board L-band microwave sensors, which are very sensitive to the water content in soils and vegetation. Focusing on the vegetati
Externí odkaz:
http://arxiv.org/abs/2012.03297
Autor:
Salcedo-Sanz, S., Piles, M., Cuadra, L., Casanova-Mateo, C., Caamaño, A.J., Cerro-Prada, E., Camps-Valls, G.
Publikováno v:
In Atmospheric Research 15 April 2021 252
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