Towards the automated large-scale reconstruction of past road networks from historical maps.

ABSTRACT: Transportation infrastructure, such as road or railroad networks, represent a fundamental component of our civilization. For sustainable planning and informed decision making, a thorough understanding of the long-term evolution of transportation infrastructure such as road networks is crucial. However, spatially explicit, multi-temporal road network data covering large spatial extents are scarce and rarely available prior to the 2000s. Herein, we propose a framework that employs increasingly available scanned and georeferenced historical map series to reconstruct past road networks, by integrating abundant, contemporary road network data and color information extracted from historical maps. Specifically, our method uses contemporary road segments as analytical units and extracts historical

SUBMITTER: Uhl JH 

PROVIDER: S-EPMC9030764 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature