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Browsing by Issue Date, starting with "2010-09-21"

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  • Assessing multi-temporal land cover changes in the Mata Nacional da Peneda Geres National Park (1995 and 2009), Portugal - a land change modeler approach for landscape spatial patterns modelling and structural evaluation
    Publication . Viana, Helder; Aranha, José
    The present study sought to evaluate land cover evolution between 1995 and 2009, within the Mata Nacional of Peneda Geres (Portugal). This study was based on Landsat TM images classification and GIS procedures, such as Land Change Modeller approach. Landscape diversity and structural changes were analysed by means of Mean Shape Index, Shannon’s Diversity Index and Patch analysis, in order compare landscape metrics and to calculate land cover dynamics. The achieved results enable to state that land cover classes presented significant structural changes. The most significant changes occur in the land cover classes of Pinus pinaster; Quercus robur; Acacia dealbata; and shrub land. The most worrying result was achieved for the Acacia dealbata, which presented a strong invasive behaviour. Landscape metric analysis showed a significant stratification increasing and a dramatic reduction of patch surfaces. In spite of spatial changes observed, the achieved biodiversity indexes are very alike for both dates.
    2010-09-21Conference object Open access Show more
  • Mapping invasive species (Acacia dealbata Link) using ASTER/TERRA and LANDSAT 7 ETM+ imagery
    Publication . Viana, Helder; Aranha, José
    The rapid spread of invasive alien species (IAS) is now recognised as one of the greatest threats to the ecological and economic well being of the planet. This study shows a comparison between ASTER/TERRA and ETM+/LANDSAT 7 sensors data suitability for mapping the Acacia dealbata Link spots. The work was carried out in central Portugal (Viseu region) where the presence of invader species in pure stands is quite significant. The images were ortho- rectified and submitted to supervised classifications techniques. The achieved results showed an overall accuracy of 89.42% over the ETM+ image and 86.69% over the ASTER image. For the class Acacia dealbata Link, the producer’s precision was 100% for both images but the user’s accuracy was only 23% in ETM+ and 12% in ASTER image. The obtained results suggest good perspectives for the use of this type of satellite images in order to detect and map this invasive species.
    2010-09-21Conference object Open access Show more