Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Javier González Matesanz"'
Autor:
Calimanut-Ionut Cira, Miguel-Ángel Manso-Callejo, Ramón Alcarria, Borja Bordel Sánchez, Javier González Matesanz
Publikováno v:
Remote Sensing, Vol 15, Iss 8, p 2099 (2023)
Most existing road extraction approaches apply learning models based on semantic segmentation networks and consider reduced study areas, featuring favorable scenarios. In this work, an end-to-end processing strategy to extract the road surface areas
Externí odkaz:
https://doaj.org/article/9503185141b541fab82e986708000c59
Publikováno v:
Proceedings of the International Cartographic Association, ISSN 2570-2092, 2019, Vol. 2
Archivo Digital UPM
Universidad Politécnica de Madrid
Archivo Digital UPM
Universidad Politécnica de Madrid
For millions of years, the Jarama Valley, located in the middle of Spain, has fluctuated physically and geomorphological, supposing over the centuries a crucial settlement for wildlife and different human cultures as an efficient route through South
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::87b18e6e2b1050adc40d9303acc32902
https://doi.org/10.5194/ica-proc-2-105-2019
https://doi.org/10.5194/ica-proc-2-105-2019
Autor:
Javier González Matesanz, Adolfo Dalda Mourón, Javier García García, Juan Luis Bermúdez González, Francisco Maza Vázquez
Publikováno v:
Ciencias Espaciales. 8:491-508
Las tareas de elaboración o actualización de la cartografía nacional de un país deben iniciarse con el análisis pormenorizado de las opciones disponibles, y aprovechar la experiencia y conocimientos adquiridos por otros productores en la elabora
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f12055c2c106d83eecff0e7a8328b03f
https://doi.org/10.5377/ce.v8i1.2063
https://doi.org/10.5377/ce.v8i1.2063
Autor:
Francisco Javier González Matesanz, María Concepción Alonso Rodríguez, María Guadalupe Rodríguez Díaz, José Antonio Malpica, Roberto Goycoolea Prado, Jesús Martínez-Frías, Joaquín Bosque Sendra, Adolfo Dalda Mourón, Francisco Maza Vázquez, Juan Gregorio Rejas Ayuga, María Luisa Soriano Sanz, Francisco Javier Gómez Martínez, Juan Luís Bermúdez, Fernando Cerezal
Publikováno v:
Ciencias Espaciales. 8:110-125
La Geoética es la disciplina que interpela y trata desde un enfoque ético las materias profesionales y de investigación involucradas en las Ciencias de la Tierra y Planetarias en su conjunto. Desde su irrupción a finales del pasado siglo hasta la
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::22222810a38a949619fe900ebf0e0854
https://doi.org/10.5377/ce.v8i1.2044
https://doi.org/10.5377/ce.v8i1.2044
Autor:
Alfonso Marín, Francisco Mariño, Francisco Javier González Matesanz, Pilar Sánchez-Ortiz, Francisco Javier García, Gonzalo Moreno
Publikováno v:
Abstracts of the ICA. 1:1-1
In order to improve the efficiency in the continuous updating of the spatial objects compiled in the geospatial information databases, National Geographic Institute of Spain launched The Program for the Productive Change GIDB (Geospatial Information
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e3c274dfe5a59f93c86ab470965d722b
https://doi.org/10.5194/ica-abs-1-257-2019
https://doi.org/10.5194/ica-abs-1-257-2019
Autor:
Alfonso Calera, Juan José Peces, Jose Moreno, Sergio Molina, Emilio Domenech, José Antonio Tejeiro, Luis Gómez-Chova, Jose Ángel Martínez, Javier González-Matesanz, Nuria Plaza, Jesús Garrido, Guillermo Villa, Julia Amorós-López, Ana Porcuna, Gustavo Camps-Valls, Nuria Valcárcel
Publikováno v:
International Journal of Remote Sensing. 34:3699-3715
The conflict between spatial and temporal resolution of satellite systems, as well as the frequent presence of clouds in the images, has been a traditional limitation of remote sensing in the optical domain. Nevertheless, most of the conceptual tools
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d6d1777f2ae3e971fe59ef42979b8606
https://doi.org/10.1080/01431161.2012.716910
https://doi.org/10.1080/01431161.2012.716910
Publikováno v:
Remote Sensing of Environment. 92:345-352
The use of lidar data to estimate critical variables needed for modeling wildfire behavior was tested on a Scots pine forest (Pinus sylvestris L.) in central Spain. Lidar data accurately estimated crown bulk density at the plot level (r 2 =0.80). Lid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2fb148fe1ae3443457f379f5fe57e051
https://doi.org/10.1016/j.rse.2003.12.014
https://doi.org/10.1016/j.rse.2003.12.014