Memorias de investigación
Ponencias en congresos:
Landcover degradation analysis of Mediterranean forest by means of hyperplanes obtained from mixture linear algorithms (MLA)
Año:2008
Áreas de investigación
  • Procesado y análisis de la señal
Datos
Descripción
The percentage alteration of the Mediterranean forest landscape is one of the primary indicators for its degradation. In this sense, the land cover abundances change analysis by using mixture linear algorithms (MLA), is presented like a good alternative to study this degradation. This research analyzes the use of two information sources like Remote Sensing (Landsat-ETM+) and Field Radiometry (GER 1500) to obtain mixture hyperplanes. These are calculated by models based on least square estimations, assuming that each pure land cover (endmember) belonging to any geographic area, behaves as a random variable which distribution function is known. The mixture hyperplanes provide spectral signatures with a suitable correlation level with regard to the supplied from remote satellite sensors once corrected, for the same geographical zone. These established hyperplanes can be used in future researches about Mediterranean forest landscape changes, because they can represent the different levels of its degradation. In this sense, it is proposed that they will feed a land cover spectral library with free accessibility.
Internacional
Si
Nombre congreso
EARSEL 08
Tipo de participación
960
Lugar del congreso
Estambul (Turquia)
Revisores
Si
ISBN o ISSN
978-1-58603-986-8
DOI
Fecha inicio congreso
02/06/2008
Fecha fin congreso
07/06/2008
Desde la página
676
Hasta la página
676
Título de las actas
Abstract Book, se publica en el 2009 con el ISBN indicado con el nombre Remote Sensing for a Changing Europe
Esta actividad pertenece a memorias de investigación
Participantes
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Informática Aplicada al Procesado de Señal e Imagen
  • Departamento: Arquitectura y Tecnología de Sistemas Informáticos