Drones for Flood Monitoring, Mapping and Detection: A Bibliometric Review
نویسندگان
چکیده
Floods are one of the most often occurring and damaging natural hazards. They impact society on a massive scale result in significant damages. To reduce floods, needs to keep benefiting from latest technological innovations. Drones equipped with sensors algorithms (e.g., computer vision deep learning) have emerged as potential platform which may be useful for flood monitoring, mapping detection activities more efficient way than current practice. better understand scope recent trends domain drones management, we performed detailed bibliometric analysis. The intent performing analysis waws highlight important research trends, co-occurrence relationships patterns inform new researchers this domain. was terms performance (i.e., publication statistics, citations top publishing countries, journals, institutions, publishers Web Science (WoS) categories) science by country, keyword co-occurrences, co-authorship, co-citations bibliographic coupling) total 569 records extracted WoS duration 2000–2022. VOSviewer open source tool has been used generating network maps. Subjective discussions results explain obtained In end, review 28 publications subjected process-driven context management. active areas were also identified future regard use activities.
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ژورنال
عنوان ژورنال: Drones
سال: 2023
ISSN: ['2504-446X']
DOI: https://doi.org/10.3390/drones7010032