Paul McKenzie

Assessing regional scale habitat area with a three dimensional measure

Abstract A method of measuring the three-dimensional (3D) area of habitats across a regionally complex cultural landscape is described. It is based on overlaying field mapped habitats from sample grid squares onto a digital terrain model of topography constructed using triangulated irregular networks to calculate a terrain corrected area (3D area). The method is suitable for regional-scale ecological studies and has the potential to be used to determine habitat metrics other than area that are sensitive to dimensionality. It is pragmatic with currently available software. The extent to which the area of habitats is underestimated by a two-dimensional (2D) area measure, compared with a 3D measure, is assessed. There was a significantly greater 3D area of all habitat types. The 2D to 3D area increase was especially large in specific seminatural habitats associated with topographic complexity and agricultural land use constraints. They included European Priority Habitats of high conservation value such as dry heath and calcareous grassland. This is of direct relevance for assessing area-based biodiversity evaluation criteria. The economic consequences of 3D area adjustments to production subsidies for agricultural habitats and agri-environment scheme payments were large if applied at a regional scale, especially in marginal upland and upland farms.

Combining multispectral aerial imagery and digital surface models to extract urban buildings.

Abstract Please click here to download the map associated with this article. This paper presents an automated classification of buildings in Coleraine, Northern Ireland. The classification was generated using very high spatial resolution data (10 cm) from a Digital Mapping Camera (DMC) for March 2009. The visible to near infrared (VNIR) bands of the DMC enabled a supervised classification to be performed to extract buildings from vegetation. A Digital Surface Model (DSM) was also created from the image to differentiate between buildings and other land classes with similar spectral profiles, such as roads. The supervised classification had the lowest classification accuracy (50%) while the DSM had an accuracy of 81%. The combination of the DSM and the supervised classification achieved an overall classification accuracy of 95%. Two spatial metrics (percentage of the landscape and number of patches) were also used to test the level of agreement between the classification and digitised building data. The results suggest that fine resolution multispectral aerial imagery can automatically detect buildings to a very high level of accuracy. Current space borne sensors, such as IKONOS and QuickBird, lag behind airborne sensors with VNIR bands provided at a much coarser spatial resolution (4m and 2.4m respectively). Techniques must be developed from current airborne sensors that can be applied to new space borne sensors in the future. The ability to generate DSMs from high resolution aerial imagery will afford new insights into the three-dimensional aspects of urban areas which will in turn inform future urban planning.

If you are not one of them you feel out of place: understanding divisions in a Northern Irish town

ABSTRACT This paper examines and reflects on the use of Global Positioning System (GPS) tracking devices as a method to understand and analyse young people’s everyday movement in Northern Ireland, a divided society emerging from conflict. The paper also seeks to contribute to the extensive body of literature which already exists on young people’s geographies and movements within the Northern Ireland context. We highlight how the use of GPS together with more traditional methods gives us considerable insights of movements of young people in Northern Ireland and sheds light on the communal divisions in one town in Northern Ireland, Coleraine. We argue that the use of a GPS methodology significantly adds to the understanding of young people’s movements and geographies, particularly in a post-conflict context where notions of place and territory have particular significance.