Object-oriented classification of very high resolution airborne imagery for the extraction of hedgerows and field margin cover in agricultural areas |
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| Authors: | Kevin Tansey Ian Chambers Andrew Anstee Anthony Denniss Alistair Lamb |
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| Institution: | 1. Forest & Nature Lab, Department of Environment, Faculty of Bioscience Engineering, Ghent University, Geraardsbergsesteenweg 267, BE-9090 Gontrode-Melle, Belgium;2. UMR ‘Ecologie et Dynamique des Systèmes Anthropisés’ (EDYSAN, UMR CNRS 7058), Jules Verne University of Picardie, 1 Rue des Louvels, F-80037 Amiens, France;3. Southern Sweden Research Centre, Swedish University of Agricultural Sciences, Box 49, SE-230 53 Alnarp, Sweden;4. Biogeography and Geomatics, Department of Physical Geography, Stockholm University, SE-106091 Stockholm, Sweden;5. Vegetation Ecology and Conservation Biology, Institute of Ecology, FB2, University of Bremen, Leobener Str., D-28359 Bremen, Germany;6. Department of Biology, Norwegian University of Science and Technology, Høgskoleringen 5, Realfagbygget D1-137, NO-7491 Trondheim, Norway;7. Institute of Ecology and Earth Sciences, University of Tartu, Lai 40, EE-51005 Tartu, Estonia;8. Centre for Agricultural Landscape Research (ZALF), Eberswalder Strasse 84, D-15374 Müncheberg, Germany;9. Department of Ecology, Faculty of Biology and Environmental Protection, University of Silesia, Bankowa 9, 40-007 Katowice, Poland;1. National Audubon Society, Conservation Science, 220 Montgomery St., Suite 1000, San Francisco, CA 94104, USA;2. Graduate Group in Ecology, Department of Environmental Science and Policy, University of California, 1 Shields Avenue, Davis, CA 95616, USA;3. Audubon California, 400 Capitol Mall, Suite 1535, Sacramento, CA 95814, USA;4. The Nature Conservancy, 555 Capitol Avenue, Suite 1290, Sacramento, CA 95814, USA;5. Department of Wildlife, Fish & Conservation Biology, University of California, Davis, 1 Shields Avenue, Davis, CA 95616, USA;6. Department of Environmental Studies, California State University, Sacramento, 6000 J Street, Sacramento, CA 95819, USA;1. State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Institute of Soil and Water Conservation, Chinese Academy of Sciences and Ministry of Water Resources, Yangling, Shaanxi Province, China;2. University of Chinese Academy of Sciences, Beijing, China;3. Institute of Soil and Water Conservation, Northwest Agriculture and Forestry University, Yangling, Shaanxi Province, China |
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| Abstract: | The recent advancement in technology for the airborne collection and subsequent processing and analysis of digital remotely sensed data has been significant. An investigation into the contributions that recent developments have made to the assessment and extraction of hedgerow and field margins is presented. Research into the active legislation by which hedgerows and agricultural biodiversity in England are bound is brought together in the concept of an ideal classification. Using Leica Geosystems ADS40 data, collected for Berkshire (UK), the degree to which the ideal classification can be reached is investigated, focusing on the extraction of hedgerows and unploughed field margin protective boundary strips as image objects. Elevation data were derived from the ADS40 imagery data to accompany true-colour and colour-infrared spectral information. By buffering the detected hedgerow objects in a GIS, we facilitated an investigation of the presence of measures that satisfy the minimum hedgerow protection requirements stipulated by the UK Department for Environment, Food and Rural Affairs (DEFRA). In our study area, it was estimated that 68% of areas that need to be classified as ‘grassy hedgerow boundary strip’ to satisfy the minimum requirements of the legislation were established with low-lying grassy cover before the introduction of the legislation in July 2005. The implications of this research for the development of automated classification methods for field scale agricultural mapping are discussed. |
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