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

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

Description

Title: GIS and Remote Sensing for Natura 2000 Monitoring in Mediterranean Biogeographic Region
Author/s:
  • Velázquez Saornil, Javier
  • Förster, Michael
  • Kleinschmit, Birgit
Item Type: Presentation at Congress or Conference (Article)
Event Title: GI_Forum 2008
Event Dates: 01/07/2008-04/07/2008
Event Location: Salzburg (Austria)
Title of Book: Geospatial Crossroads @ GI_Forum '08
Date: 2008
ISBN: 9783879074655
Subjects:
Freetext Keywords: Potential Natural Vegetation, geo-factor, object-based classification, natural distribution.
Faculty: E.T.S.I. Montes (UPM)
Department: Proyectos y Planificación Rural [hasta 2014]
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

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.

More information

Item ID: 3112
DC Identifier: http://oa.upm.es/3112/
OAI Identifier: oai:oa.upm.es:3112
Official URL: http://www.gi-forum.org/index.php?option=com_content&view=category&layout=blog&id=17&Itemid=34
Deposited by: Memoria Investigacion
Deposited on: 01 Jun 2010 08:59
Last Modified: 20 Apr 2016 12:40
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