From pixel to vine parcel: A complete methodology for vineyard delineation and characterization using remote-sensing data

The increasing availability of Very High Spatial Resolution images enables accurate digital maps production as an aid for management in the agricultural domain. In this study, we develop a comprehensive and automatic tool for vineyard detection, delineation and characterization using aerial images and without any parcel plan availability. In France, vineyard training methods in rows or grids generate periodic patterns which make frequency analysis a suitable approach. The proposed method computes a Fast Fourier Transform on an aerial image, providing the delineation of vineyards and the accurate evaluation of row orientation and interrow width. These characteristics are then used to extract individual vine rows, with the aim of detecting missing vine plants and characterizing cultural practices. Using the red channel of an aerial image, 90% of the parcels have been detected; 92% have been correctly classified according to their rate of missing vine plants and 81% according to their cultural practice (weed control method). The automatic process developed can be easily integrated into the final user's Geographical Information System and produces useful information for vineyard management.

[1]  D. Lamb,et al.  Using remote sensing to predict grape phenolics and colour at harvest in a Cabernet Sauvignon vineyard: Timing observations against vine phenology and optimising image resolution , 2008 .

[2]  J. Tukey,et al.  An algorithm for the machine calculation of complex Fourier series , 1965 .

[3]  John R. Miller,et al.  Assessing vineyard condition with hyperspectral indices: Leaf and canopy reflectance simulation in a row-structured discontinuous canopy , 2005 .

[4]  A. Steegen,et al.  Effects of tillage on runoff and erosion patterns , 2001 .

[5]  P. Mahalanobis.  On the generalized distance in statistics , 1936 .

[6]  Marc Voltz,et al.  Diuron and Simazine Losses to Runoff Water in Mediterranean Vineyards , 1997 .

[7]  G. Rabatel,et al.  VINE PLOT DETECTION IN AERIAL IMAGES USING FOURIER ANALYSIS , 2006 .

[8]  P. Couteron,et al.  Textural approaches for vineyard detection and characterization using very high spatial resolution remote sensing data , 2008 .

[9]  Christian Germain,et al.  Row detection in high resolution remote sensing images of vine fields , 2003 .

[10]  D. Lamb,et al.  Characterising and mapping vineyard canopy using high-spatial-resolution aerial multispectral images , 2003 .

[11]  Christian Germain,et al.  Delineation of vine parcels by segmentation of high resolution remote sensed images , 2007, Precision Agriculture.

[12]  Gilles Rabatel,et al.  A non-supervised approach using Gabor filters for vine-plot detection in aerial images , 2008 .

[13]  Frédéric Baret,et al.  Vineyard identification and description of spatial crop structure by per-field frequency analysis , 2002 .

[14]  Carole Delenne,et al.  An Automatized Frequency Analysis for Vine Plot Detection and Delineation in Remote Sensing , 2008, IEEE Geoscience and Remote Sensing Letters.