References
- Allard , A. , Nilsson , B. , Pramborg , K. , Ståhl , G. and Sundquist , S. 2003 . Manual for Aerial Photo Interpretation in the National Inventory of Landscapes in Sweden , Umeå : Department of Forest Resource Management and Geomatics, Swedish University of Agricultural Sciences .
- Axelsson , P.E. 1999 . Processing of laser scanner data – algorithms and applications . ISPRS Journal of Photogrammetry and Remote Sensing , 54 : 138 – 147 .
- Axelsson , P.E. 2000 . DEM generation from laser scanner data using adaptive TIN models . International Archives of Photogrammetry and Remote Sensing , 33 : 110 – 117 .
- Bork , E.W. and Su , J.G. 2007 . Integrating LIDAR data and multispectral imagery for enhanced classification of rangeland vegetation: a meta analysis . Remote Sensing of Environment , 111 : 11 – 24 .
- Chust , G. , Galparsoro , I. , Borja , A. , Franco , J. and Uriarte , A. 2008 . Coastal and estuarine habitat mapping, using LIDAR height and intensity and multi-spectral imagery . Estuarine Coastal and Shelf Science , 78 : 633 – 643 .
- Dalponte , M. , Bruzzone , L. and Gianelle , D. 2008 . Fusion of hyperspectral and LIDAR remote sensing data for classification of complex forest areas . IEEE Transactions on Geoscience and Remote Sensing , 46 : 1416 – 1427 .
- Engberg, A., 2005, Produktspecifikation av Svenska CORINE Marktäckedata. Available online at http://www.lantmateriet.se/upload/filer/kartor/kartor_och_geografisk_info/ GSD-Produktbeskrivningar/SCMDspec.pdf (http://www.lantmateriet.se/upload/filer/kartor/kartor_och_geografisk_info/ GSD-Produktbeskrivningar/SCMDspec.pdf) (Accessed: 18 March 2011 ).
- Erdody , T.L. and Moskal , L.M. 2010 . Fusion of LiDAR and imagery for estimating forest canopy fuels . Remote Sensing of Environment , 114 : 725 – 737 .
- Commission , European . 2000 . Managing Natura 2000 Sites: The provisions of Article 6 of the ‘Habitats’ Directive 92/43/EEC , Luxembourg : Office for Official Publications of the European Communities .
- European Commission/DG Environment . 2007 . Interpretation Manual of European Union Habitats, EUR27 , Brussels : European Commission/DG Environment .
- Friedl , M.A. , McIver , D.K. , Hodges , J.C.F. , Zhang , X.Y. , Muchoney , D. , Strahler , A.H. , Woodcock , C.E. , Gopal , S. , Schneider , A. , Cooper , A. , Baccini , A. , Gao , F. and Schaaf , C. 2002 . Global land cover mapping from MODIS: algorithms and early results . Remote Sensing of Environment , 83 : 287 – 302 .
- Fuller , R.M. , Groom , G.B. and Jones , A.R. 1994 . The land cover map of Great Britain: an automated classification of Landsat thematic mapper data . Photogrammetric Engineering and Remote Sensing , 60 : 553 – 562 .
- Haala , N. and Brenner , C. 1999 . Extraction of buildings and trees in urban environments . ISPRS Journal of Photogrammetry and Remote Sensing , 54 : 130 – 137 .
- Hagner , O. and Reese , H. 2007 . A method for calibrated maximum likelihood classification of forest types . Remote Sensing of Environment , 110 : 438 – 444 .
- Hill , R.A. and Thomson , A.G. 2005 . Mapping woodland species composition and structure using airborne spectral and LiDAR data . International Journal of Remote Sensing , 26 : 3763 – 3779 .
- Holmgren , J. , Persson , Å. and Söderman , U. 2008 . Species identification of individual trees by combining high resolution LIDAR data with multi-spectral images . International Journal of Remote Sensing , 29 : 1537 – 1552 .
- Hyde , P. , Dubayah , R. , Walker , W. , Blair , J.B. , Hofton , M. and Hunsaker , C. 2006 . Mapping forest structure for wildlife habitat analysis using multi-sensor (LiDAR, SAR/InSAR, ETM+, Quickbird) synergy . Remote Sensing of Environment , 102 : 63 – 73 .
- Jennings , S.B. , Brown , N.D. and Sheil , D. 1999 . Assessing forest canopies and understorey illumination: canopy closure, canopy cover and other measures . Forestry , 72 : 59 – 73 .
- Ke , Y. , Quackenbush , L.J. and Im , J. 2010 . Synergistic use of QuickBird multispectral imagery and LIDAR data for object-based forest species classification . Remote Sensing of Environment , 114 : 1141 – 1154 .
- Kempeneers , P. , Deronde , B. , Provoost , S. and Houthuys , R. 2009 . Synergy of airborne digital camera and lidar data to map coastal dune vegetation . Journal of Coastal Research , 53 : 73 – 82 .
- Korpela , I. , Koskinen , M. , Vasander , H. , Holopainen , M. and Minkkinen , K. 2009 . Airborne small-footprint discrete-return LiDAR data in the assessment of boreal mire surface patterns, vegetation, and habitats . Forest Ecology and Management , 258 : 1549 – 1566 .
- Reese , H.M. , Lillesand , T.M. , Nagel , D.E. , Stewart , J.S. , Goldmann , R.A. , Simmons , T.E. , Chipman , J.W. and Tessar , P.A. 2002 . Statewide land cover derived from multiseasonal Landsat TM data – a retrospective of the WISCLAND project . Remote Sensing of Environment , 82 : 224 – 237 .
- Rignot , E. , Salas , W.A. and Skole , D.L. 1997 . Mapping deforestation and secondary growth in Rondonia, Brazil, using imaging radar and Thematic Mapper data . Remote Sensing of Environment , 59 : 167 – 179 .
- Soininen , A. 2004 . TerraScan for MicroStation, User's Guide , Jyväskylä : Terrasolid .