Observatorio de I+D+i UPM

Memorias de investigación
Communications at congresses:
Landcover degradation analysis of Mediterranean forest by means of hyperplanes obtained from mixture linear algorithms (MLA)
Year:2008
Research Areas
  • Processing and signal analysis
Information
Abstract
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.
International
Si
Congress
EARSEL 08
960
Place
Estambul (Turquia)
Reviewers
Si
ISBN/ISSN
978-1-58603-986-8
Start Date
02/06/2008
End Date
07/06/2008
From page
676
To page
676
Abstract Book, se publica en el 2009 con el ISBN indicado con el nombre Remote Sensing for a Changing Europe
Participants
  • Participante: Jose Manuel Vazquez Sierra (Universidad San Pablo CEU)
  • Autor: Agueda Arquero Hidalgo (UPM)
  • Autor: M.Estibaliz Martinez Izquierdo (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Informática Aplicada al Procesado de Señal e Imagen
  • Departamento: Arquitectura y Tecnología de Sistemas Informáticos
S2i 2020 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)