Landcover degradation analysis of Mediterranean forest by means of hyperplanes obtained from mixture linear algorithms (MLA)

Arquero Hidalgo, Águeda; Martínez Izquierdo, María Estíbaliz y Vázquez Sierra, José Manuel (2009). Landcover degradation analysis of Mediterranean forest by means of hyperplanes obtained from mixture linear algorithms (MLA). En: "28th EARSeL Symposium: Remote Sensing for a Changing Europe Details Programme", 02/06/2008-05/06/2008, Estambul (Turquia). ISBN 978-1-58603-986-8.

Descripción

Título: Landcover degradation analysis of Mediterranean forest by means of hyperplanes obtained from mixture linear algorithms (MLA)
Autor/es:
  • Arquero Hidalgo, Águeda
  • Martínez Izquierdo, María Estíbaliz
  • Vázquez Sierra, José Manuel
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: 28th EARSeL Symposium: Remote Sensing for a Changing Europe Details Programme
Fechas del Evento: 02/06/2008-05/06/2008
Lugar del Evento: Estambul (Turquia)
Título del Libro: Remote Sensing for a Changing Europe. Proceedings of the 28th Symposium of the European Association of Remote Sensing Laboratories
Fecha: 2009
ISBN: 978-1-58603-986-8
Materias:
Escuela: Facultad de Informática (UPM) [antigua denominación]
Departamento: Arquitectura y Tecnología de Sistemas Informáticos
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

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.

Más información

ID de Registro: 3445
Identificador DC: http://oa.upm.es/3445/
Identificador OAI: oai:oa.upm.es:3445
URL Oficial: http://www.booksonline.iospress.nl/Content/View.aspx?piid=11559
Depositado por: Memoria Investigacion
Depositado el: 25 Jun 2010 08:35
Ultima Modificación: 10 Ene 2017 09:56
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