Estimación y caracterización de la cobertura vegetal basado en las aplicaciones de las aeronaves no tripuladas UAS

Abstract

Currently, several studies demonstrate the effectiveness of unmanned aerial vehicles (UAS) in the estimation and characterization of vegetation cover, since these tools allow obtaining accurate data at different spatial and temporal scales, which makes them a valuable tool for vegetation monitoring. In this sense, the purpose of this research is to highlight the importance of UAVs in environmental studies, as well as their development and advances in recent years. The study methodology was based on a correlation analysis of keywords, countries and years, through VOSviewer and bibliometrix, using databases such as Scopus and ScienceDirect, and focused on application approaches, such as the identification and characterization of vegetation cover and its species through the capture of multispectral images and the use of artificial intelligence with UAVs. Based on the above, a general correlation of keywords focusing on UAV applications, such as machine learning, remote sensing and decision trees, was found. The leading brands in the supply of technology, including cameras, aircraft and sensors used, as well as the most frequently used models in the reviewed studies were also analyzed to analyze the market trend in this technological field.