Abstract
In the past few decades, the management of urban spaces with appropriate tools has been in constant discussion due to the plethora of new technologies that have emerged for participatory planning, drone mapping, photogrammetry and 3D modeling. In a multitude of situations, considerable progress has been made regarding the strategic impact of the successful use of technology for the development of urban spaces. The current era provides us with important digital tools and the opportunity to test new perspectives in the sustainable development of cities. This paper aims to explore the contribution of UAVs to the spatial mapping process of urban space, with the goal of collecting quantifiable and qualitative information to use for 3D modeling that can enable a more comprehensive understanding of the urban environment, thus facilitating urban regeneration processes. Three-dimensional models of high accuracy are not mandatory for this research. The location of the selected research area is particularly interesting due to its boundaries, urban voids and public space that can evolve through public participation. The results can be used for crowdsourcing in participatory decision-making processes and for exploring the consequences that these have on the built environment, and they can be used as a new means of involvement of citizens in local decision-making processes.
Subject
Artificial Intelligence,Computer Science Applications,Aerospace Engineering,Information Systems,Control and Systems Engineering
Reference22 articles.
1. United Nations (2019). World Urbanization Prospects: The 2018 Revision, United Nations.
2. Prakash, M., Ramage, S., Kavvada, A., and Goodman, S. (2020). Open earth observations for Sustainable Urban Development. Remote Sens., 12.
3. Imaging spectroscopy of urban environments;Okujeni;Surv. Geophys.,2018
4. Unmanned aerial systems for photogrammetry and remote sensing: A review;Colomina;ISPRS J. Photogramm. Remote Sens.,2014
5. Fully automatic UAV image-based sensor orientation;Barazzetti;Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci.,2012
Cited by
21 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献