Use of remote sensing to produce a habitat map of Norfolk

摘要: Abstract Information on the extent, location and condition of semi-natural habitats is essential to deliver national targets achieve UK commitment Biodiversity 2020 (Defra, 2011). This strategy aims halt overall biodiversity loss by move towards a position net gain. In order this, both local bodies need detailed information present over their entire area. Remote sensing provides opportunities for cost-effective, rapid repeatable habitat mapping. paper presents method used produce seamless map county Norfolk, UK, sufficient detail inform land management decisions. Key aspects were development parallel classification systems using different input data combinations long-term, volunteer-based validation update procedure. The utilised multiple earth observation platforms characterised differences in spatial resolution, spectral range season image capture. very important success analyses. process was guided ecological principles knowledge, along with targeted ground-truthing guide class associations, confirm underlying processes assess accuracy, revision. study found that automated methods analysis most effective when classifying distinctive dominant cover species, or groups species. least at identifying defined presence low growth-form species frequency where they form understorey vegetation; such cases field checking vital assignment. scale mapping can be combination targeted, sustainable survey effort provide level needed decision makers support Biodviersity wide other policy needs. has already been adopted organisations finding application areas as Green Infrastructure, Living Landscape suitability modelling.