{"id":20734,"date":"2018-03-09T09:10:11","date_gmt":"2018-03-09T09:10:11","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/aplicacion-de-redes-neuronales-al-analisis-de-datos-en-teledeteccion-prediccion-cartografica-de-incendios-forestales\/"},"modified":"2018-03-09T09:10:11","modified_gmt":"2018-03-09T09:10:11","slug":"aplicacion-de-redes-neuronales-al-analisis-de-datos-en-teledeteccion-prediccion-cartografica-de-incendios-forestales","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/alcala\/aplicacion-de-redes-neuronales-al-analisis-de-datos-en-teledeteccion-prediccion-cartografica-de-incendios-forestales\/","title":{"rendered":"Aplicaci\u00f3n de redes neuronales al an\u00e1lisis de datos en teledetecci\u00f3n: predicci\u00f3n cartogr\u00e1fica de incendios forestales"},"content":{"rendered":"<h2>Tesis doctoral de <strong>  Carbacho Bart Luis Orlando <\/strong><\/h2>\n<p>Este trabajo busca determinar la fiabilidad de la t\u00e9cnica de redes neuronales artificiales en la predicci\u00f3n y n\u00famero de grandes incendios forestales (de m\u00e1s de 500 hect\u00e1reas) en la cuenca mediterr\u00e1nea europea. Se busca tambi\u00e9n averiguar si esta t\u00e9cnica es mejor clasificador para identificar \u00e1rea quemada usando im\u00e1genes de sat\u00e9lite, con respecto a otras t\u00e9cnicas convencionales de clasificaci\u00f3n (como el algoritmo de m\u00e1xima probabilidad o las regresiones).  para la predicci\u00f3n de incendios, se comparan los resultados que se obtienen por medio de redes neuronales con m\u00e9todos de regresi\u00f3n, comprob\u00e1ndose por medio de distintas pruebas, que efectivamente, las redes neuronales son mejores predictoras que los m\u00e9todos de regresi\u00f3n empleados (log\u00edstica y lineal m\u00faltiple), si bien son menos aptas que aquellos al momento de buscar una explicaci\u00f3n de las funciones de predicci\u00f3n encontradas, que no ha sido posible obtener por medio de redes neuronales.  en la determinaci\u00f3n de \u00e1rea quemada, se han contrastado los resultados obtenidos con redes neuronales, un clasificador de m\u00e1xima verosimilitud y regresi\u00f3n log\u00edstica, encontr\u00e1ndose que no parece haber diferencias significativas entre estos m\u00e9todos para identificar \u00e1rea quemada a partir de im\u00e1genes de sat\u00e9lite, pero la red neuronal se ha evidenciado como la mejor t\u00e9cnica para transportar el aprendizaje de lo que es el \u00e1rea quemada, a otras \u00e1reas desconocidas, siendo capaz de reconocer las zonas que han sido afectadas por el fuego con mayor fiabilidad que la ecuaci\u00f3n de regresi\u00f3n log\u00edstica obtenida en la misma imagen en que se obtuvo la red.<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>Aplicaci\u00f3n de redes neuronales al an\u00e1lisis de datos en teledetecci\u00f3n: predicci\u00f3n cartogr\u00e1fica de incendios forestales<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 Aplicaci\u00f3n de redes neuronales al an\u00e1lisis de datos en teledetecci\u00f3n: predicci\u00f3n cartogr\u00e1fica de incendios forestales <\/li>\n<li><strong>Autor:<\/strong>\u00a0  Carbacho Bart Luis Orlando <\/li>\n<li><strong>Universidad:<\/strong>\u00a0 Alcal\u00e1<\/li>\n<li><strong>Fecha de lectura de la tesis:<\/strong>\u00a0 16\/12\/2002<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h3>Direcci\u00f3n y tribunal<\/h3>\n<ul>\n<li><strong>Director de la tesis<\/strong>\n<ul>\n<li>Emilio Chuvieco Salinero<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal: Jos\u00e9 lu\u00eds Casanova roque <\/li>\n<li>Mar\u00eda del pilar Martin isabel (vocal)<\/li>\n<li>Jos\u00e9 ramon Hilera gonzalez (vocal)<\/li>\n<li> Barredo cano Jos\u00e9 ignacio (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tesis doctoral de Carbacho Bart Luis Orlando Este trabajo busca determinar la fiabilidad de la t\u00e9cnica de redes neuronales artificiales [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center 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