Social Network and Bibliometric Analysis of Unmanned Aerial Vehicle Remote Sensing Applications from 2010 to 2021

• Published in: Remote sensing (Basel, Switzerland) Vol. 13; no. 15; p. 2912
• Main Authors: Wang, Jingrui, Wang, Shuqing, Zou, Dongxiao, Chen, Huimin, Zhong, Run, Li, Hanliang, Zhou, Wei, Yan, Kai
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.08.2021
• Subjects: affordability; Artificial intelligence; Artificial neural networks; Bibliometric; bibliometric analysis; Bibliometrics; China; Citation analysis; Citations; Cocitation; Cooperation; Documents; Environmental science; Keywords; Network analysis; Neural networks; Remote sensing; Remote Sensing (RS); satellites; Scientometric; Social network analysis; Social networks; Social organization; Trends; Unmanned Aerial Vehicle (UAV); Unmanned aerial vehicles; Visualization; United Kingdom > UK; United States > US; China

Unmanned Aerial Vehicle (UAV) Remote sensing (RS) has unique advantages over traditional satellite RS, including convenience, high resolution, affordability and fast acquisition speed, making it widely used in many fields. To provide an overview of the development of UAV RS applications during the p...