Zobrazeno 1 - 10
of 827
pro vyhledávání: '"Á. Moreno Martínez"'
Autor:
M. Santoro, O. Cartus, N. Carvalhais, D. M. A. Rozendaal, V. Avitabile, A. Araza, S. de Bruin, M. Herold, S. Quegan, P. Rodríguez-Veiga, H. Balzter, J. Carreiras, D. Schepaschenko, M. Korets, M. Shimada, T. Itoh, Á. Moreno Martínez, J. Cavlovic, R. Cazzolla Gatti, P. da Conceição Bispo, N. Dewnath, N. Labrière, J. Liang, J. Lindsell, E. T. A. Mitchard, A. Morel, A. M. Pacheco Pascagaza, C. M. Ryan, F. Slik, G. Vaglio Laurin, H. Verbeeck, A. Wijaya, S. Willcock
Publikováno v:
Earth System Science Data, Vol 13, Pp 3927-3950 (2021)
The terrestrial forest carbon pool is poorly quantified, in particular in regions with low forest inventory capacity. By combining multiple satellite observations of synthetic aperture radar (SAR) backscatter around the year 2010, we generated a glob
Externí odkaz:
https://doaj.org/article/b9b0c7e5831246388da2cc296b648be4
Autor:
Domingo-Gardeta, Tomás, Montero-Cabezas, José M., Jurado-Román, Alfonso, Sabaté, Manel, Aboal, Jaime, Baranchuk, Adrián, Carrillo, Xavier, García-Zamora, Sebastián, Dores, Hélder, van der Valk, Viktor, Scherptong, Roderick W.C., Andrés-Cordón, Joan F., Vidal, Pablo, Moreno-Martínez, Daniel, Toribio-Fernández, Raquel, Lillo-Castellano, José María, Cruz, Roberto, De Guio, François, Marina-Breysse, Manuel, Martínez-Sellés, Manuel
Publikováno v:
In Journal of Electrocardiology September-October 2024 86
Autor:
Dechant, Benjamin, Kattge, Jens, Pavlick, Ryan, Schneider, Fabian D., Sabatini, Francesco M., Moreno-Martínez, Álvaro, Butler, Ethan E., van Bodegom, Peter M., Vallicrosa, Helena, Kattenborn, Teja, Boonman, Coline C.F., Madani, Nima, Wright, Ian J., Dong, Ning, Feilhauer, Hannes, Peñuelas, Josep, Sardans, Jordi, Aguirre-Gutiérrez, Jesús, Reich, Peter B., Leitão, Pedro J., Cavender-Bares, Jeannine, Myers-Smith, Isla H., Durán, Sandra M., Croft, Holly, Prentice, I. Colin, Huth, Andreas, Rebel, Karin, Zaehle, Sönke, Šímová, Irena, Díaz, Sandra, Reichstein, Markus, Schiller, Christopher, Bruelheide, Helge, Mahecha, Miguel, Wirth, Christian, Malhi, Yadvinder, Townsend, Philip A.
Publikováno v:
In Remote Sensing of Environment 1 September 2024 311
Autor:
Saroj, Neeshu, Shanker, Shiv, Serrano-Hernández, Eduardo, Manjarrez-Gutiérrez, Gabriel, Mondragón, José-Antonio, Moreno-Martínez, Saidel, Jarillo-Luna, Rosa A., López-Sánchez, Pedro, Terrón, José A.
Publikováno v:
In Psychoneuroendocrinology January 2025 171
Publikováno v:
In Reumatología clínica (English Edition) May 2024 20(5):254-262
Publikováno v:
In Reumatologia Clinica May 2024 20(5):254-262
Autor:
Moreno-Martinez, Alvaro, Maneta, Marco, Camps-Valls, Gustau, Martino, Luca, Robinson, Nathaniel, Allred, Brady, Running, Steven W
Publikováno v:
IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium
Products derived from a single multispectral sensor are hampered by a limited spatial, spectral or temporal resolutions. Image fusion in general and downscaling/blending in particular allow to combine different multiresolution datasets. We present he
Externí odkaz:
http://arxiv.org/abs/2012.07987
Autor:
Moreno-Martinez, Alvaro, Camps-Valls, Gustau, Kattge, Jens, Robinson, Nathaniel, Reichstein, Markus, van Bodegom, Peter, Kramer, Koen, Cornelissen, J. Hans C., Reich, Peter, Bahn, Michael, Niinemets, Ulo, Peñuelas, Josep, Craine, Joseph, Cerabolini, Bruno E. L., Minden, Vanessa, Laughlin, Daniel C., Sack, Lawren, Allred, Brady, Baraloto, Christopher, Byun, Chaeho, Soudzilovskaia, Nadejda A., Running, Steven W.
Publikováno v:
Remote Sensing of Environment, Volume 218, 1 December 2018, Pages 69-88
This paper introduces a modular processing chain to derive global high-resolution maps of leaf traits. In particular, we present global maps at 500 m resolution of specific leaf area, leaf dry matter content, leaf nitrogen and phosphorus content per
Externí odkaz:
http://arxiv.org/abs/2012.06417
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
Autor:
Arroyo, Hiram, Rojas, Eduardo, Moreno-Martínez, Jatziri Y., Palacios, Otoniel, Galván, Arturo
Publikováno v:
In Computers and Structures 1 February 2024 292