Resolving the Urban Dilemma of Two Adjacent Rivers through a Dialogue between GIS and Augmented Reality (AR) of Fabrics
Remote Sensing
; 14(17):4330, 2022.
Article
in English
| ProQuest Central | ID: covidwho-2024038
ABSTRACT
Keelung Harbor, which is the most important center of sea freight in northern Taiwan, suffers from deteriorating urban development due to limited land supply. A dilemma arose from the Asahikawa River and the Tianliao River fronts, which evolved from cultural landscapes to buried and truncated rivers. This research was aimed at resolving the urban dilemma of the two adjacent rivers through a dialogue between the physical and augmented interaction of fabrics in three scenarios GIS to AR, AR to GIS, and both. The physical dynamics were used to trace development chronologically by the area and length assessed from historical maps of hydrogeography, architecture, and the railroad. The augmented dynamics involved AR-based simulations and comparisons in terms of skyline overlay, fabric substitution, and fabric disposition. The dynamics involved AR models made by UAV images and 3D drawings. The assessments and simulations determined the key event in Keelung history when the Asahikawa River was leveled up. The dilemma verified from the augmented dynamics facilitated comprehension of the evolvement of the physical dynamics. With the assistance of AR and GIS, we concluded that the specific instance of riverfront reconstruction was an important landmark of meta-relationship.
Physics; geographic information system (GIS); unmanned aerial vehicle (UAV); augmented reality (AR); photogrammetry; cultural heritage; harbor; rivers; urban; urbanization; urban fabric; land use; resilient infrastructure; sustainable land management; History; Fabrics; Ports; Culture; Architecture; Tourism; Urban development; COVID-19; Construction; Augmented reality; Image reconstruction; Infrastructure; Unmanned aerial vehicles; Planning; Riverfronts; Dynamics; River ecology; Geographic information systems; Maps; Taiwan
Full text:
Available
Collection:
Databases of international organizations
Database:
ProQuest Central
Language:
English
Journal:
Remote Sensing
Year:
2022
Document Type:
Article
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