“…In recent years, RS studies in archaeology have focused on the use of different systems to improve the visibility of features of archaeological interest. The most common practices are (i) spectral enhancement via the creation of indices (mathematical combination between bands) such as indices derived from the use of NIR, Red, and Green (e.g., NDVI, GNDVI, and SAVI) [63,[75][76][77][78][79] or indices based on SWIR (e.g., NDMI and MSI) [80][81][82]; (ii) radiometric enhancement obtained using linear and non-linear stretching or equalisation of the histogram to increase the contrast between pixel classes [83,84]; (iii) transformation, aggregation or reduction in data using various techniques such as TCT (Tasseled Cap Transformation) [85], PCA (Principal Component Analysis) and SPCA (Selective PCA) [86][87][88][89], local and global spatial autocorrelation indices (e.g., Anselin Local Moran's I, Getis-Ord's index and Geary's index); and (iv) classification (e.g., K-Means, Isodata, and machine-and deep-learning based classification) [90,91].…”