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Advancements and Applications of Drone-Integrated Geographic Information System Technology—A Review

Authors :
Md Muzakkir Quamar
Baqer Al-Ramadan
Khalid Khan
Md Shafiullah
Sami El Ferik
Source :
Remote Sensing, Vol 15, Iss 20, p 5039 (2023)
Publication Year :
2023
Publisher :
MDPI AG, 2023.

Abstract

Drones, also known as unmanned aerial vehicles (UAVs), have gained numerous applications due to their low cost, ease of use, vertical takeover and landing, and ability to operate in high-risk or hard-to-reach areas. The contribution of this review is that of building the bridge between drone technology and its application and advancements in the field of Geographic Information System (GIS). The integration of drones and GIS is valuable as it reduces costs and improves accessibility for geospatial data collection. Traditional methods involving aircraft for aerial photography are expensive, requiring the hiring of aircraft, pilots, and photographers. Drones equipped with advanced cameras and artificial intelligence software can replace the conventional technique and at the same time, be economical and time-efficient. The integration of drones and GIS is expected to bring revolutionary benefits in the fields of precision agriculture, urban planning, emergency health response, disaster management, the development of smart cities, food delivery, etc. In this paper, a state-of-the-art review of the deployment of drone-integrated GIS applications in different fields is presented. Numerous techniques and associated challenges related to their development, formulation, implementation, and regulation are highlighted. It has been concluded that drone-integration solutions in GIS improve efficiency and accuracy, enhance the decision-making process, and facilitate better real-time monitoring. The findings of this review paper are intended to help and benefit researchers, business developers, emergency service providers, industrialists, and policymakers.

Details

Language :
English
ISSN :
20724292
Volume :
15
Issue :
20
Database :
Directory of Open Access Journals
Journal :
Remote Sensing
Publication Type :
Academic Journal
Accession number :
edsdoj.0202ef8af7fa47c18d2930b248a143be
Document Type :
article
Full Text :
https://doi.org/10.3390/rs15205039