Friday lunchtime lecture: Landscape Watch Hampshire – crowdsourcing landscape change

Friday 16 October 2015, 1:00pm - 1:00pm

Open Data Institute, 65 Clifton Street, London, EC2A 4JE

You bring your lunch, we provide tea and coffee, an interesting talk, and enough time to get back to your desk.

Landscape Watch Hampshire is a new community project to characterise the county’s landscape in 2005 and 2013 by analysing aerial photos, held as open data by Hampshire County Council, and thereby identify the changes that have taken place over a period of eight years; the output from the project will be made available as open data via the Hampshire Hub as it becomes available.

Hampshire County Council, on behalf of the Hampshire Hub Partnership, is collaborating with Remote Sensing Applications Consultants Ltd (RSAC) and the University of Portsmouth (UoP) on the Crowdsourcing Landscape Change project, co-funded by Innovate UK (formerly the Technology Strategy Board).

Tim Pearson, RSAC

Tim has worked in Earth Observation (EO) for 16 years. He specialises in land applications of EO data and has worked on a variety of projects relating to land cover mapping in developed and developing countries. Tim is Project Manager of the Innovate UK-funded project, Crowdsourcing Landscape Change, to develop an online platform for the extraction of information from imagery by members of the public.

Dan Cooper, HCC

Dan has been working on spatial data, data management and data analysis in the Research and Intelligence team at Hampshire County Council for four years, prior to which he provided GIS and database support for Planning Policy. His work also covers open data and how this and spatial data can be used to support initiatives such as ‘Crowdsourcing Landscape Change’.

Dr. Karen Masters, UoP

Karen is a Reader in Astronomy and Astrophysics at the Institute of Cosmology and Gravitation, University of Portsmouth and an expert in the use of citizen scientist analysis of images. Her research is in extragalactic astronomy, and she makes use of hundreds of thousands of images of galaxies taken by large astronomical surveys and processed via the citizen science project Galaxy Zoo. Since 2011 she has been the Project Scientist for Galaxy Zoo, arguably the worlds most successful online citizen science project, with over 60 peer reviewed publications based on citizen scientist input.