David Gómez Candón, Sylvain Labbé, Montserrat Jurado Expósito, José Manuel Peña Barragán, Gilles Rabatel, Francisca López Granados
Orthorectification and mosaicing are two important steps in the design ofinput application strategies for precision agriculture. Images with low spatialresolution and big georreferencing errors are not useful to obtain good qualitymaps. In this paper we tried to compare the usefulness between two differentpieces of software for orthorectificacion and mosaicing of remote images.Furthermore, we studied the spatial resolution requirements and minimumnumber of tie points/GCPs needed to obtain good quality orthomosaics. Theseorthomosaics have to be ready to be used to detect weeds in crops and to obtainhigh precision prescription maps
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