Sunlit soil surface extraction from remotely sensed imagery of perennial, discontinuous crop areas; the case of Mediterranean vineyards

Overview & Synopsis

In the Mediterranean wine producing region, soil surface remote sensing for hydrological modelling is hampered by the discontinuous canopy of the perennial vine stocks. Very high spatial resolution imagery allows the recording of ground resolution elements that comprise only soil in between vine stocks. To enable the comparison of the resolution element's spectral properties with known bi-directional properties of different types of soil surface, pixels representing the pure and sunlit soil surface have first to be extracted from the imagery. Multi-scale analysis proved to provide a robust and satisfactory segmentation method. Conditional per-field adjustment of a multi-scale image mask allows the extraction of the image segments corresponding to the sunlit soil surface, whatever its state or composition. Moreover, the vegetation cover can be estimated with an error of at most 10% if the geometric configuration is taken into account.