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- Title
Using Unmanned Aerial Vehicle Remote Sensing and a Monitoring Information System to Enhance the Management of Unauthorized Structures.
- Authors
He, Yuanrong; Ma, Weiwei; Ma, Zelong; Fu, Wenjie; Chen, Chihcheng; Yang, Cheng-Fu; Liu, Zhen
- Abstract
Featured Application: Unauthorized construction is common in residential areas and can result in various types of harm, such as pieces of buildings falling off in bad weather and causing damage. These incidents may lead to injury or death, as well as structural damage, increasing financial loss to governments and negatively affecting the local population's livelihoods. In this study, we investigated a method that uses an unmanned aerial vehicle with remote sensing as well as a monitoring information system to enhance the detection and prevention of unauthorized construction. In this research, we investigated using unmanned aerial vehicle (UAV) photographic technology to prevent the further expansion of unauthorized construction and thereby reduce postdisaster losses. First, UAV dynamic aerial photography was used to obtain dynamic digital surface model (DSM) data and elevation changes of 2–8 m as the initial sieve target. Then, two periods of dynamic orthophoto images were superimposed for human–computer interaction interpretation, so we could quickly distinguish buildings undergoing expansion, new construction, or demolition. At the same time, mobile geographic information system (GIS) software was used to survey the field, and the information gathered was developed to support unauthorized construction detection. Finally, aerial images, interpretation results, and ground survey information were integrated and released on WebGIS to build a regulatory platform that can achieve accurate management and effectively prevent violations.
- Subjects
MANAGEMENT information systems; MOBILE geographic information systems; REMOTE sensing; DIGITAL elevation models; GEOGRAPHIC information systems; AERIAL photography; BUILDING failures; ARTIFICIAL satellites
- Publication
Applied Sciences (2076-3417), 2019, Vol 9, Issue 22, p4954
- ISSN
2076-3417
- Publication type
Article
- DOI
10.3390/app9224954