|ConSci welcomes another recruit|
Conservation Sciences welcomes Ross Hill, who joins the School as a Reader in Geinformatics.
Ross has been involved in the use of remote sensing for research and operational applications since 1992. His background is in environmental science and remote sensing. For his PhD he examined primary, disturbed and regenerating rain forest using satellite imagery, and investigated vegetation phenology across the Amazon Basin in time-series data.
Ross has also been a member of the Integrated Applications Group in the Section for Earth Observation at CEH Monks Wood since 1997. Recent work has involved both the production and validation of the Land Cover Map 2000 for the UK, its integration with other national scale geospatial datasets, and its application for national and regional scale habitat modelling. His current research work involves the integration of diverse datasets for landscape modelling, characterising ecotones, and habitat quality assessment. Ross is also the author of over 75 scientific papers, reports and reviews.
Hill, R.A., & Smith, G.E. (in press) Land cover heterogeneity in Great Britain as identified in Land Cover Map 2000. International Journal of Remote Sensing.
Smith, G.M., Thomson, A.G., Wilson, A.K., Hill, R.A. and Purcell, P.W., (in press) Airborne remote sensing for monitoring the impact of coastal zone management, International Journal of Remote Sensing.
Bradbury, R.B., Hill, R.A., Mason, D.C., Hinsley, S.A., Wilson, J.D., Balzter, H., Anderson, Q.A., Whittingham, M.J., Davenport, I.J., & Bellamy, P.E. (2005) Modelling relationships between birds and vegetation structure using airborne LiDAR data: a review with case studies from agricultural and woodland environments. Ibis, 147, 443-452.
Fuller, R.M., Cox, R., Clarke, R., Rothery, P., Hill, R.A., Smith, G,M., Thomson, A.,G., Brown., N.J., Howard, D., & Stott, A. (2005) The UK Land Cover Map 2000: planning, construction and calibration of a user-oriented map of Broad Habitats from remotely sensed satellite images. International Journal of Applied Earth Observation and Geoinformation, 7, 202-216.
Hill, R.A., & Thomson, A.G. (2005) Mapping woodland species composition and structure using airborne spectral and LiDAR data. International Journal of Remote Sensing, 17, 3763-3779.
Fuller, R.M., Devereux, B.J., Gillings, S., Amable, G.S., & Hill, R.A. (2005) Indices of bird-habitat preference from bird field surveys and remote sensing of land cover: a study of south-eastern England with wider implications for conservation and biodiversity assessment. Global Ecology and Biogeography,14, 223-239.
Hill, R.A., Hinsley, S.A., Gaveau, D.L.A. & Bellamy, P.E. (2004) Predicting habitat quality for Great Tits (Parus major) with airborne laser scanning data. International Journal of Remote Sensing, 25, 4851-4855.
Patenaude, G., Hill, R.A., Milne, R., Gaveau, D.L.A., Briggs, B.B.J. & Dawson, T.P. (2004) Quantifying forest above ground carbon content using LiDAR remote sensing. Remote Sensing of Environment, 93, 368-380.
Gaveau, D.L.A. & Hill, R.A. (2003) Quantifying canopy height underestimation by laser pulse penetration in small-footprint airborne laser scanning data. Canadian Journal of Remote Sensing, 29, 650-657.
Fuller, R.M., Smith, G.M., Sanderson, J.M., Hill, R.A., & Thomson A.G. (2002) The UK Land Cover Map 2000: construction of a parcel-based vector map from satellite images. Cartographic Journal, 39, 15-25.
Hill, R.A. & Veitch, N. (2002) Landscape visualisation: rendering a virtual reality simulation from airborne laser altimetry and multi-spectral scanning data. International Journal of Remote Sensing, 23, 3307-3309.
Hill, R.A., Smith, G.M., Fuller, R.M. & Veitch, N. (2002) Landscape modelling using integrated airborne multi-spectral and elevation data. International Journal of Remote Sensing, 23, 2327-2334.
Hinsley, S.A., Hill, R.A., Gaveau, D.L.A. & Bellamy, P.E. (2002) Quantifying woodland structure and habitat quality for birds using airborne laser scanning. Functional Ecology, 16, 851-857.
Hill J. L. & Hill R. A. (2001) Why are tropical rain forests so species rich? Classifying, reviewing and evaluating theories. Progress in Physical Geography, 25, 326-354.
Hill R. A. (1999) Image segmentation for humid tropical forest classification in Landsat TM data. International Journal of Remote Sensing, 20, 837 & 1039-1044.
Foody G. M. & Hill R. A. (1996) Classification of tropical forest classes from Landsat TM data. International Journal of Remote Sensing, 17 2353-2367.
Hill R. A. & Foody, G. M. (1994) Separability of tropical rain-forest types in the Tambopata-Candamo Reserved Zone, Peru. International Journal of Remote Sensing, 15 2687-2693