Remote Sensing Techniques in Olive-Growing: A Review
Journal Title: Current Investigations in Agriculture and Current Research - Year 2018, Vol 2, Issue 3
Abstract
The evolution of remote sensing techniques, the rising availability of increasingly accurate and reliable technologies and the widening provision of precise and detailed data constitute the framework within which more and more specific sectors use remote sensing. Agriculture is one of the sectors where different applications of remote sensing can prove their effectiveness as they offer the possibility of gaining new perspectives, detecting phenomena not visible from the ground and in replacing man when inspecting territories dangerous, contaminated or difficult to access is necessary. Present paper aims to illustrate remote sensing techniques currently available in olive growing, highlighting their advantages in terms of optimisation of production processes and natural resources exploitation, environmental footprint, traceability of final products and monitoring of yieldRemote sensing is a set of techniques that allows the exploitation of different way in which natural surfaces interact with electromagnetic energy from a source to obtain information about their characteristics. Until a few years ago, data and images could be acquired just by aircraft equipped with special cameras whose use had to be designed in detail with considerable expenses and difficult replicability of acquisition. In recent years, data acquired by satellites have become available and later continuous technological evolution has made it possible to perform the same service at even higher resolution through unmanned aerial vehicle (UAV), allowing considerable cost savings and, most importantly, making this technology no longer an exclusive prerogative of scientific community. At present the choice of instrument depends essentially on the costs and on the level of detail desired. Using UAV, increasingly common and executable with different resolutions, still has a price justified only by large-scale projects; satellite data have a spatial resolution ranging from 10 m to 30 centimetres, suffer from interference such as the presence of the atmosphere and cloud cover but, at lower resolutions, are available free of charge. At present, the satellite constellations from which data and images can be drawn are different.
Authors and Affiliations
G Nolè, A Pilogallo, F De Santis
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