Identificación De Redes De Caminos Utilizando Imágenes Digitales Multi-Espectrales Y Pancromáticas. El Caso De Los Ramales Del Camino Real De Tierra Adentro En San Juan Del Río

A novel approach to identifying road networks using high-resolution satellite imagery has been developed, leveraging the fusion of multi-spectral and panchromatic images (pansharpening) combined with spatial classification algorithms. This method effectively discriminates linear features such as roads from other land uses like cities or water bodies by integrating spectral and edge information. Applied to the branches of the Camino Real de Tierra Adentro in San Juan Del Río, Mexico, this technique demonstrates potential for precise historical road network reconstruction, offering insights into the spatial organization of this UNESCO World Heritage Site.

López Aguilar, F., & López Garcí­a, P. (2014). Identification of Road Networks Using Multi-Spectral and Panchromatic Digital Images. The Case Of The Branches Of The Camino Real De Tierra Adentro In San Juan Del Rio. Xihmai, 9(18), 127–146. https://doi.org/10.37646/xihmai.v9i18.243