Change Detection analysis of Cultural and Landscape Heritage based on Multispectral and Hyperspectral remote sensing data and algorithm: the case of Appia Antica Park

In remote sensing multispectral and hyperspectral Imaging are a valid method to analyse Earth Observation (EO) data. If multispectral imaging is largely used and well knowed in EO and refers to the scomposition of the spectral range of the instruments onboard in few channels (typically from 6 to 12), hyperspectral Imaging gains a greater spectral resolution and refers to obtain the spectrum for each pixel in the image, with the purpose of finding objects, identifying materials, or detecting processes through the structural analysis of the source (in SWIR range) or chemical behaviour (in VIS range). In this work a multispectral (NDVI) and hyperspectral (red edge slope) technique is used to perform a Change Detection (CD) on the vegetation of the Appia Antica Regional Park in Rome. The results show the benefits of these analyses in evaluating the state of landscape and in developing appropriate management projects.