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

机译:GIS和遥感技术在地中海生物地理区域的Natura 2000监测中

摘要

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.
机译:NATURA 2000区域监视是欧洲国家的重要研究课题,因为Habi-tat指令规定了实施Natura 2000空间保护状态监视系统的义务。这可以通过将基于GIS的潜在自然植被(PNV)模型与遥感分类或解释结果相结合来实现。提出的研究侧重于一种方法的实施,以定位和检测Natura 2000 Network森林空间的变化。根据地理因素和遥感解释,地面测绘以及测试地点自然栖息地分布的分析,对不同栖息地类型进行了定位。为了得出实际的森林栖息地,从定义的规则集中得出潜在的自然植被,在其中可以对发生可能性最高的栖息地类型进行相应的排序。使用可用的卫星数据(LANDSAT TM)验证了自然自然植被建模的结果。使用PCI Geomatica软件以最大似然分类来完成此任务。分类的结果和GIS分析相结合,以获得初步的栖息地类型。这些类型已通过现有的森林管理计划进行了验证,并与当地陆地制图和栖息地类型的自然分布进行了比较。

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