Agricultura de precisión a partir de fusión de imágenes satelitales por métodos convencionales y transformadas Wavelet Daubechies y Coiflet

Abstract

Precision agriculture contemplates the temporal and spatial review of plant cover to be studied for decision making; thus, this document presents a methodology for the acquisition of information from places where there is no robust agricultural information, which can be obtained from the fusion of satellite images and analysis of spectral indices derived from them. In this way, methodologies and tools of digital image processing from remote sensors will be used, such as image fusion: Brovey Transform, multiplication method, Wavelet Daubechies and Coiflet transforms, as well as the use of NDVI, GNDVI and DVI spectral indices for PlanetScope and Worldview 3 scenes. As a result, we will obtain information of higher spatial resolution, accurate for the optimization of these processes; validated from the spectral behavior of the coverages, as well as with image quality indexes, where the quality of the information obtained in qualitative and quantitative terms will be evidenced.