Development of an IKONOS image classification rule-set for multi-scale mapping of Mediterranean rural landscapes

References

• Baatz , M. , Benz , U. , Dehghani , S. , Heynen , M. , Holtje , A. , Hofmann , P. , Lingenfelder , I. , Mimler , M. , Sohlbach , M. , Weber , M. and Willhauck , G. 2002 . ECognition User's Guide , Munich , , Germany : Definiens Imaging GmbH, digital .
   Google Scholar
• Bailly , J.S. , Lagacherie , P. , Millier , C. , Puech , C. and Kosuth , P. 2008 . Agrarian landscapes linear features detection from LiDAR: application to artificial drainage networks . International Journal of Remote Sensing , 29 : 3489 – 3508 .
   Web of Science ®Google Scholar
• Blaschke , T. 2010 . Object based image analysis for remote sensing . ISPRS Journal of Photogrammetry and Remote Sensing , 65 : 2 – 16 .
   Web of Science ®Google Scholar
• Burnett , C. and Blaschke , T. 2003 . A multi-scale segmentation/object relationship modelling methodology for landscape analysis . Ecological Modelling , 168 : 233 – 249 .
   Web of Science ®Google Scholar
• Chen , D. and Stow , D.A. 2002 . The effect of training strategies on supervised classification at different spatial resolution . Photogrammetric Engineering and Remote Sensing , 68 : 1279 – 1287 .
   Web of Science ®Google Scholar
• Comber , A.J. , Fisher , P.F. and Wadsworth , R.A. 2005 . What is land cover? . Environment and Planning B: Planning and Design , 32 : 199 – 209 .
   Web of Science ®Google Scholar
• Eisfelder , C. , Kraus , T. , Bock , M. , Werner , M. , Buchroithner , M.F. and Strunz , G. 2009 . Towards automated forest-type mapping – a service within GSE forest monitoring based on SPOT-5 and IKONOS data . International Journal of Remote Sensing , 30 : 5015 – 5038 .
   Web of Science ®Google Scholar
• Faber , A. and Forstner , W. 1999 . Scale characteristics of local autocovariances for texture segmentation . International Archives of Photogrammetry and Remote Sensing , 32 : 74 – 78 .
   Google Scholar
• Forman , R.T.T. 1995 . Some general principles of landscape and regional ecology . Landscape Ecology , 10 : 133 – 142 .
   Web of Science ®Google Scholar
• Fosberg , F.R. 1967 . “ A classification of vegetation for general purposes ” . In IBP Handbook No 4. Guide to Check Sheet for IBP Areas , Edited by: Peterken , G.F. 73 – 120 . Oxford : Blackwell Scientific Publications .
   Google Scholar
• Gahegan , M. and Ehlers , M. 2000 . A framework for the modelling of uncertainty between remote sensing and geographic information systems . ISPRS Journal of Photogrammetry and Remote Sensing , 55 : 176 – 188 .
   Web of Science ®Google Scholar
• Grossman , D.H. , Faber-Langendoen , D. , Weakley , A.S. , Anderson , M. , Bourgeron , P.S. , Crawford , R. , Goodin , K. , Landaal , S. , Metzler , K. , Patterson , K. , Pyne , M. , Reid , M. and Sneddon , L. 1998 . “ International classification of ecological communities: terrestrial vegetation of the United States ” . In In The National Vegetation Classification System: Development, Status, and Applications , Vol. I , Arlington , VA : The Nature Conservancy .
   Google Scholar
• Hajek , F. 2008 . Process-based approach to automated classification of forest structures using medium format digital aerial photos and ancillary GIS information . European Journal of Forest Research , 127 : 115 – 124 .
   Web of Science ®Google Scholar
• Haralick , R.M. , Shanmugam , K. and Dinstein , I. 1973 . Textural features for image classification . IEEE Transactions on Systems, Man, and Cybernetics , 3 : 610 – 621 .
   Web of Science ®Google Scholar
• Jong , S.M. , Hornstra , T. and Maas , H.-G. 2001 . An integrated spatial and spectral approach to the classification of Mediterranean land cover types: the SSC method . International Journal of Applied Earth Observation and Geoinformation , 3 : 176 – 183 .
   Google Scholar
• Kettig , R.L. and Landgrebe , D.A. 1976 . Classification of multispectral image data by extraction and classification of homogeneous objects . IEEE Transactions on Geoscience Electronics , GE-14 : 19 – 26 .
   Google Scholar
• Lu , D. and Weng , Q. 2007 . A survey of image classification methods and techniques for improving classification performance . International Journal of Remote Sensing , 28 : 823 – 870 .
   Web of Science ®Google Scholar
• Milne , B.T. 1991 . “ Lessons from applying fractal models to landscape patterns ” . In Quantitative Methods in Landscape Ecology , Edited by: Turner , M.G. and Gardner , R.H. 199 – 235 . New York : Springer .
   Google Scholar
• Naga Jyothi , B. , Babu , G.R. and Murali Krishna , I.V. 2008 . Object oriented and multi-scale image analysis: strengths, weaknesses, opportunities and threats-a review . Journal of Computer Science , 4 : 706 – 712 .
   Google Scholar
• Nikora , V. , Pearson , C.P. and Shankar , U. 1999 . Scaling properties in landscape patterns: New Zealand experience . Landscape Ecology , 14 : 17 – 33 .
   Web of Science ®Google Scholar
• O'Neill , R.V. , Gardner , R.H. and Turner , M.G. 1992 . A hierarchical neutral model for landscape analysis . Landscape Ecology , 7 : 55 – 62 .
   Web of Science ®Google Scholar
• Pausas , J.G. and Vallejo , R.V. 1999 . “ The role of fire in European Mediterranean ecosystems ” . In Remote Sensing of Large Wildfires in the European Mediterranean Basin , Edited by: Chuvieco , E. 3 – 16 . Berlin : Springer-Verlag .
   Google Scholar
• Plotnick , R.E. , Gardner , R.H. , Hargrove , W.W. , Prestegaard , K. and Perlmutter , M. 1996 . Lacunarity analysis: a general technique for the analysis of spatial patterns . Physical Review , 53 : 5461 – 5468 .
   Google Scholar
• Sheikholeslami , G. , Zhang , A. and Bian , L. 2000 . A multi-resolution content-based retrieval approach for geographic images . GeoInformatica , 3 : 109 – 139 .
   Google Scholar
• St-Onge , B. , Hu , Y. and Vega , C. 2008 . Mapping the height and above-ground biomass of a mixed forest using lidar and stereo Ikonos images . International Journal of Remote Sensing , 29 : 1277 – 1294 .
   Web of Science ®Google Scholar
• Turner , M.G. , Gardner , R.H. and O'Neill , R.V. 2001 . Landscape Ecology in Theory and Practice , New York : Springer-Verlag .
   Google Scholar
• Walker , J.S. and Blaschke , T. 2008 . Object-based land-cover classification for the Phoenix metropolitan area: optimization vs. transportability . International Journal of Remote Sensing , 29 : 2021 – 2040 .
   Web of Science ®Google Scholar
• Zhan , Q. , Molenaar , M. , Tempfli , K. and Shi , W. 2005 . Quality assessment for geo-spatial objects derived from remotely sensed data . International Journal of Remote Sensing , 26 : 2953 – 2974 .
   Web of Science ®Google Scholar
• Zhang , X. , Feng , X. and Jiang , H. 2010 . Object-oriented method for urban vegetation mapping using IKONOS imagery . International Journal of Remote Sensing , 31 : 177 – 196 .
   Web of Science ®Google Scholar