GIS and Remote Sensing for Natura 2000 Monitoring in Mediterranean Biogeographic Region

Velázquez Saornil, Javier; Förster, Michael y Kleinschmit, Birgit (2008). GIS and Remote Sensing for Natura 2000 Monitoring in Mediterranean Biogeographic Region. En: "GI_Forum 2008", 01/07/2008-04/07/2008, Salzburg (Austria). ISBN 9783879074655.

Descripción

Título: GIS and Remote Sensing for Natura 2000 Monitoring in Mediterranean Biogeographic Region
Autor/es:
  • Velázquez Saornil, Javier
  • Förster, Michael
  • Kleinschmit, Birgit
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: GI_Forum 2008
Fechas del Evento: 01/07/2008-04/07/2008
Lugar del Evento: Salzburg (Austria)
Título del Libro: Geospatial Crossroads @ GI_Forum '08
Fecha: 2008
ISBN: 9783879074655
Materias:
Palabras Clave Informales: Potential Natural Vegetation, geo-factor, object-based classification, natural distribution.
Escuela: E.T.S.I. Montes (UPM) [antigua denominación]
Departamento: Proyectos y Planificación Rural [hasta 2014]
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

Texto completo

[img]
Vista Previa
PDF (Document Portable Format) - Se necesita un visor de ficheros PDF, como GSview, Xpdf o Adobe Acrobat Reader
Descargar (512kB) | Vista Previa

Resumen

NATURA 2000 areas monitoring is a key research topic on European countries since Habi-tat Directive specifies the obligation to implement monitoring systems for conservation status in Natura 2000 spaces. This can be achieved by combining GIS-based models of the Potential Natural Vegetation (PNV) with remote sensing classification or interpretation results. The presented study focuses on the implementation of a methodology to locate and detect changes in forest spaces of Natura 2000 Network. Location of different habitats types were carried out based on geo-factors and remote sensing interpretation, terrestrial mapping and analysis of natural habitat distribution for a test site. In order to derive the actual forest habitats, potential natural vegetation was derived from a defined rule-set, in which the habitat types with the highest possibility of occurrence could be ranked accordingly. The result of the modelling for pontential natural vegetation was verified using available satellite data (LANDSAT TM). This task was carried with a maxi-mum likelihood classification using the software PCI Geomatica. The results of the classi-fication and the GIS analysis are combined to obtain preliminary habitat types. These types were verified with existing Forest Management Plans, and compared with results of local terrestrial mapping and natural distribution of habitat types.

Más información

ID de Registro: 3112
Identificador DC: http://oa.upm.es/3112/
Identificador OAI: oai:oa.upm.es:3112
URL Oficial: http://www.gi-forum.org/index.php?option=com_content&view=category&layout=blog&id=17&Itemid=34
Depositado por: Memoria Investigacion
Depositado el: 01 Jun 2010 08:59
Ultima Modificación: 20 Abr 2016 12:40
  • Open Access
  • Open Access
  • Sherpa-Romeo
    Compruebe si la revista anglosajona en la que ha publicado un artículo permite también su publicación en abierto.
  • Dulcinea
    Compruebe si la revista española en la que ha publicado un artículo permite también su publicación en abierto.
  • Recolecta
  • e-ciencia
  • Observatorio I+D+i UPM
  • OpenCourseWare UPM