Zobrazeno 1 - 10
of 272
pro vyhledávání: '"C. Camino"'
Autor:
P. J. Zarco-Tejada, T. Poblete, C. Camino, V. Gonzalez-Dugo, R. Calderon, A. Hornero, R. Hernandez-Clemente, M. Román-Écija, M. P. Velasco-Amo, B. B. Landa, P. S. A. Beck, M. Saponari, D. Boscia, J. A. Navas-Cortes
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-11 (2021)
Spectral screening can be used to monitor plant health. Here via airborne hyperspectral imaging of tree species, the authors show that spectral pathways associated with vascular pathogens can be distinguished from those linked to abiotic stress provi
Externí odkaz:
https://doaj.org/article/0dbed469b1b848208d89347c71fd9375
Autor:
E. Cuevas, C. Camino, A. Benedetti, S. Basart, E. Terradellas, J. M. Baldasano, J. J. Morcrette, B. Marticorena, P. Goloub, A. Mortier, A. Berjón, Y. Hernández, M. Gil-Ojeda, M. Schulz
Publikováno v:
Atmospheric Chemistry and Physics, Vol 15, Iss 8, Pp 3991-4024 (2015)
In the present work, atmospheric mineral dust from a MACC-II short reanalysis run for 2 years (2007–2008) has been evaluated over northern Africa and the Middle East using satellite aerosol products (from MISR, MODIS and OMI satellite sensors), gro
Externí odkaz:
https://doaj.org/article/301def503181495e8575532b01e922c1
Autor:
C. Guirado, E. Cuevas, V. E. Cachorro, C. Toledano, S. Alonso-Pérez, J. J. Bustos, S. Basart, P. M. Romero, C. Camino, M. Mimouni, L. Zeudmi, P. Goloub, J. M. Baldasano, A. M. de Frutos
Publikováno v:
Atmospheric Chemistry and Physics, Vol 14, Iss 21, Pp 11753-11773 (2014)
More than 2 years of columnar atmospheric aerosol measurements (2006–2009) at the Tamanrasset site (22.79° N, 5.53° E, 1377 m a.s.l.), in the heart of the Sahara, are analysed. Aerosol Robotic Network (AERONET) level 2.0 data were used. The KCICL
Externí odkaz:
https://doaj.org/article/df977c0b58de421c9d854c632763d360
Autor:
J. L. Pancorbo, M. Alonso-Ayuso, C. Camino, M. D. Raya-Sereno, P. J. Zarco-Tejada, I. Molina, J. L. Gabriel, M. Quemada
Publikováno v:
Precision Agriculture.
24 Pág.
Early prediction of crop production by remote sensing (RS) may help to plan the harvest and ensure food security. This study aims to improve the quantification of yield, grain protein concentration (GPC), and nitrogen (N) output in wint
Early prediction of crop production by remote sensing (RS) may help to plan the harvest and ensure food security. This study aims to improve the quantification of yield, grain protein concentration (GPC), and nitrogen (N) output in wint
Autor:
P. V. Arun, Alok Porwal, C. Camino, Ittai Herrmann, Roy Sadeh, A. Avneri, Ran Nisim Lati, Pablo J. Zarco-Tejada, Krishna Mohan Buddhiraju, Y. Tubul, Zvi Peleg
Publikováno v:
Digital.CSIC. Repositorio Institucional del CSIC
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Multiple and heterogenous Earth observation (EO) platforms are broadly used for a wide array of applications, and the integration of these diverse modalities facilitates better extraction of information than using them individually. The detection cap
Autor:
Miguel Quemada, J.L. Pancorbo, Maria D. Raya-Sereno, José Luis Gabriel, Maria Alonso-Ayuso, Pablo J. Zarco-Tejada, C. Camino
Publikováno v:
Digital.CSIC. Repositorio Institucional del CSIC
instname
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Adjusting nitrogen (N) fertilization and accounting for the legacy of past N fertilizer application (i.e., residual N) based on remote sensing estimation of crop nutritional status may increase resource efficiency and promote sustainable management o
Autor:
Guillebert, V., Nyingifa, E., Frangolho, D., Loureiro, C. Camino, Sporen, A., Tinsley, L., Shaw, A., Redding, L.E., Roy, R.
Publikováno v:
In Procedia CIRP 2013 11:124-129
Autor:
Alberto Hornero, Pablo J. Zarco-Tejada, Maria Saponari, Pieter S. A. Beck, Teja Kattenborn, Juan A Navas-Cortes, Tomas Poblete, C. Camino, Donato Boscia
Publikováno v:
ISPRS Journal of Photogrammetry and Remote Sensing
Digital.CSIC. Repositorio Institucional del CSIC
instname
ISPRS journal of photogrammetry and remote sensing 162 (2020): 27–40. doi:10.1016/j.isprsjprs.2020.02.010
info:cnr-pdr/source/autori:Poblete T., Camino C., Beck P.S.A., Hornero A., Kattenborn T., Saponari M., Boscia D, Navas-Cortes J.A., Zarco-Tejada P.J./titolo:Detection of Xylella fastidiosa infection symptoms with airborne multispectral and thermal imagery: Assessing bandset reduction performance from hyperspectral analysis./doi:10.1016%2Fj.isprsjprs.2020.02.010/rivista:ISPRS journal of photogrammetry and remote sensing/anno:2020/pagina_da:27/pagina_a:40/intervallo_pagine:27–40/volume:162
Digital.CSIC. Repositorio Institucional del CSIC
instname
ISPRS journal of photogrammetry and remote sensing 162 (2020): 27–40. doi:10.1016/j.isprsjprs.2020.02.010
info:cnr-pdr/source/autori:Poblete T., Camino C., Beck P.S.A., Hornero A., Kattenborn T., Saponari M., Boscia D, Navas-Cortes J.A., Zarco-Tejada P.J./titolo:Detection of Xylella fastidiosa infection symptoms with airborne multispectral and thermal imagery: Assessing bandset reduction performance from hyperspectral analysis./doi:10.1016%2Fj.isprsjprs.2020.02.010/rivista:ISPRS journal of photogrammetry and remote sensing/anno:2020/pagina_da:27/pagina_a:40/intervallo_pagine:27–40/volume:162
Xylella fastidiosa (Xf) is a harmful plant pathogenic bacterium, able to infect over 500 plant species worldwide. Successful eradication and containment strategies for harmful pathogens require large-scale monitoring techniques for the detection of i
Autor:
G. Enbeita, A. Ortíz, F. Diez, S. Larregla, C. Camino, M. Ojinaga, C.M. Lacasa, A Otaño, M. Gandariasbeitia, M.M. Guerrero, J. Arizmendi, E. Orbegozo
Publikováno v:
Acta Horticulturae. :327-336
Autor:
Pieter S. A. Beck, Pablo J. Zarco-Tejada, Maria Saponari, María Pilar Velasco-Amo, Miguel Román-Écija, Juan A Navas-Cortes, Rocío Hernández-Clemente, Blanca B. Landa, Donato Boscia, Victoria González-Dugo, Tomas Poblete, R. Calderon, C. Camino, Alberto Hornero
Publikováno v:
Nature communications 12 (2021): 1–11. doi:10.1038/s41467-021-26335-3
info:cnr-pdr/source/autori:Zarco-Tejada P.J., Poblete T., Camino C., Gonzalez-Dugo V., Calderon R., Hornero A., Hernandez-Clemente R., Román-Écija M., Velasco-Amo M.P., Landa B.B., Beck P.S.A., Saponari M., Boscia D., Navas-Cortes J.A./titolo:Divergent abiotic spectral pathways unravel pathogen stress signals across species/doi:10.1038%2Fs41467-021-26335-3/rivista:Nature communications/anno:2021/pagina_da:1/pagina_a:11/intervallo_pagine:1–11/volume:12
Nature Communications, Vol 12, Iss 1, Pp 1-11 (2021)
Nature Communications
Digital.CSIC. Repositorio Institucional del CSIC
instname
info:cnr-pdr/source/autori:Zarco-Tejada P.J., Poblete T., Camino C., Gonzalez-Dugo V., Calderon R., Hornero A., Hernandez-Clemente R., Román-Écija M., Velasco-Amo M.P., Landa B.B., Beck P.S.A., Saponari M., Boscia D., Navas-Cortes J.A./titolo:Divergent abiotic spectral pathways unravel pathogen stress signals across species/doi:10.1038%2Fs41467-021-26335-3/rivista:Nature communications/anno:2021/pagina_da:1/pagina_a:11/intervallo_pagine:1–11/volume:12
Nature Communications, Vol 12, Iss 1, Pp 1-11 (2021)
Nature Communications
Digital.CSIC. Repositorio Institucional del CSIC
instname
Plant pathogens pose increasing threats to global food security, causing yield losses that exceed 30% in food-deficit regions. Xylella fastidiosa (Xf) represents the major transboundary plant pest and one of the world’s most damaging pathogens in t