An airborne LiDAR-based methodology for vineyard parcel detection and delineation

References

• Bailly , J. , Lagacherie , P. , Miller , 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
• Borolot , Z.J. 2006 . Using tree clusters to derive forest properties from small footprint lidar data . Photogrammetric Engineering & Remote Sensing , 72 : 1389 – 1397 .
   Web of Science ®Google Scholar
• Coops , N.C. , Hilker , T. , Wulder , M.A. , Stonge , B. , Newnham , G. , Siggins , A. and Teofymow , J.A. 2007 . Estimating canopy structure of Douglas-fir forest stands from discrete-return lidar . Trees – Structure and Function , 21 : 295 – 310 .
   Web of Science ®Google Scholar
• Cunha , M. , Marcal , A.R.S. and Silva , L. 2010 . Very early prediction of wine yield based on satellite data from VEGETATION . International Journal of Remote Sensing , 31 : 3125 – 3142 .
   Web of Science ®Google Scholar
• Da Costa , J.P. , Pierre , J. , Michelet , F. , Germain , C. , Lavaille , O. and Grenier , G. 2007 . Delineation of vine parcels by segmentation of high resolution remote sensed images . Precision Agriculture , 8 : 95 – 110 .
   Web of Science ®Google Scholar
• Delenne , C. , Durrieu , S. , Rabatel , G. and Deshayes , M. 2010 . From pixel to vine parcel: a complete methodology for vineyard delineation and characterization using remote-sensing data . Computers and Electronics in Agriculture , 70 : 78 – 83 .
   Web of Science ®Google Scholar
• Delenne , C. , Durrieu , S. , Rabatel , G. , Deshayes , M. , Bailly , J. , Lelong , C. and Couteron , P. 2008 . Textural approaches for vineyard detection and characterization using very high spatial resolution remote sensing data . International Journal of Remote Sensing , 29 : 1153 – 1167 .
   Web of Science ®Google Scholar
• Gong , P. , Miller , S. , Biging , G. and Newburn , D. 2003 . Vineyard identification in an oak woodland landscape with airborne digital camera imagery . International Journal of Remote Sensing , 24 : 1303 – 1315 .
   Web of Science ®Google Scholar
• Haala , N. and Brenner , C. 1999 . Extraction of buildings and trees in urban environments . ISPRS Journal of Photogrammetry and Remote Sensing , 54 : 130 – 137 .
   Web of Science ®Google Scholar
• Hall , A. , Lamb , D. , Holzapfel , B. and Louis , J. 2002 . Optical remote sensing applications in viticulture: a review . Australian Journal of Grape and Wine Research , 8 : 36 – 47 .
   Web of Science ®Google Scholar
• Hall , A. and Louis , J. 2009 . Vineclipper: a proximal search algorithm to tie GPS field locations to high resolution grapevine imagery . Innovations in Remote Sensing and Photogrammetry , 3 : 361 – 372 .
   Google Scholar
• Hall , A. , Louis , J. and Lamb , D. 2003 . Characterising and mapping vineyard canopy using high-spatial-resolution aerial multispectral images . Computers & Geosciences , 23 : 813 – 822 .
   Web of Science ®Google Scholar
• Hopkinson , C. and Chasmer , L. 2009 . Testing LiDAR models of fractional cover across multiple forest ecozones . Remote Sensing of Environment , 113 : 275 – 288 .
   Web of Science ®Google Scholar
• Huang , X. , Zhang , L. and Gong , W. 2011 . Information fusion of aerial images and LIDAR data in urban areas: vector-stacking, re-classification and post-processing approaches . International Journal of Remote Sensing , 32 : 69 – 84 .
   Web of Science ®Google Scholar
• Jang , J.D. , Payan , V. , Viau , A.A. and Devost , A. 2008 . The use of airborne lidar for orchard tree inventory . International Journal of Remote Sensing , 29 : 1767 – 1780 .
   Web of Science ®Google Scholar
• Jensen , J.L.R. , Humes , K.S. , Vierling , L.A. and Hudak , A.T. 2008 . Discrete return lidar-based prediction of leaf area index in two conifer forests . Remote Sensing of Environment , 112 : 3947 – 3957 .
   Web of Science ®Google Scholar
• Keightley , K. and Bawden , G. 2010 . 3D volumetric modeling of grapevine biomass using tripod LiDAR . Computers and Electronics in Agriculture , 74 : 305 – 312 .
   Web of Science ®Google Scholar
• Koukoulas , S. and Blackburn , G.A. 2005 . Mapping individual tree location, height and species in broadleaved deciduous forest using airborne LIDAR and multi-spectral remotely sensed data . International Journal of Remote Sensing , 26 : 431 – 455 .
   Web of Science ®Google Scholar
• Kraus , K. and Pfeifer , N. 1998 . Determination of terrain models in wooded areas with airborne laser scanner data . ISPRS Journal of Photogrammetry and Remote Sensing , 53 : 193 – 203 .
   Web of Science ®Google Scholar
• Leckie , D. , Gougeon , F. , Hill , D. , Quinn , R. , Armstrong , L. and Shreenan , R. 2003 . Combined high-density lidar and multispectral imagery for individual tree crown analysis . Canadian Journal of Remote Sensing , 29 : 633 – 649 .
   Web of Science ®Google Scholar
• Lefebvre , A. , Corpetti , T. , Bonnardot , V. , Quénol , H. and Hubert-Moy , L. Vineyard identification and characterization based on texture analysis in the Helderberg Basin (South Africa) . 30th IEEE International Geoscience and Remote Sensing Symposium . July 25–30 2010 , Honolulu , HI . pp. 2852 – 2855 . New York : IEEE .
   Google Scholar
• Lefsky , M.A. , Cohen , W.B. , Harding , D.J. , Parker , G.G. , Acker , S.A. and Gower , S.T. 2002 . Lidar remote sensing of above-ground biomass in three biomes . Global Ecology and Biogeography , 11 : 393 – 399 .
   Web of Science ®Google Scholar
• Lin , C. , Thomson , G. , Lo , C.S. and Yang , M.S. 2011 . A multi-level morphological active contour algorithm for delineating tree crowns in mountainous forest . Photogrammetric Engineering & Remote Sensing , 77 : 241 – 249 .
   Web of Science ®Google Scholar
• Mundt , J.T. , Streutker , D.R. and Glenn , N.F. 2006 . Mapping sagebrush distribution using fusion of hyperspectral and lidar classifications . Photogrammetric Engineering & Remote Sensing , 72 : 47 – 54 .
   Web of Science ®Google Scholar
• Popescu , S.C. , Wynne , R.H. and Nelson , R.F. 2003 . Measuring individual tree crown diameter with lidar and assessing its influence on estimating forest volume and biomass . Canadian Journal of Remote Sensing , 29 : 564 – 577 .
   Web of Science ®Google Scholar
• Rabatel , G. , Delenne , C. and Deshayes , M. 2008 . A non-supervised approach for vine-plot detection in aerial images . Computers and Electronics in Agriculture , 62 : 159 – 168 .
   Web of Science ®Google Scholar
• Rosell Polo , J.R. , Sanz , R. , Llorens , J. , Arno , J. , Ecola , A. , Ribes-Dasi , M. , Masip , J. , Camp , F. , Gracia , F. , Solanelles , F. , Palleja , T. , Val , L. , Planas , S. , Gil , E. and Palacin , J. 2009 . A tractor-mounted scanning LiDAR for the non-destructive measurement of vegetative volume and surface area of tree-row plantations: a comparison with conventional destructive methods . Biosystems Engineering , 102 : 128 – 134 .
   Web of Science ®Google Scholar
• Trolier , L.J. , Philipson , W.R. and Philpot , W.D. 1989 . Landsat analysis of vineyards in New York . International Journal of Remote Sensing , 10 : 1277 – 1281 .
   Web of Science ®Google Scholar
• Wassenaar , T. , Robbez-Masson , J. and Andrieux , P. 2002 . Vineyard identification and description of spatial crop structure by per-field frequency analysis . International Journal of Remote Sensing , 23 : 3331 – 3325 .
   Web of Science ®Google Scholar
• Zimble , D.A. , Evans , D.L. , Carlson , G.C. , Parker , R.C. , Grado , S.C. and Gerard , P.D. 2003 . Characterizing vertical forest structure using small-footprint airborne LiDAR . Remote Sensing of Environment , 87 : 171 – 182 .
   Web of Science ®Google Scholar