Use of unmanned aerial vehicles (UAVs) for the monitoring and management on natural resources: a synthesis

The technological development of unmanned aerial vehicles (UAVs) has giving access to emerging applications in both fields of science and engineering. Using remote sensors, satellite analysis, on-site data collection, have been key tools so far for the monitoring of natural resources. UAVs is a cost...

Descripción completa

Autores Principales: Guevara-Bonilla, Mario, Meza-Leandro, Ana Sofía, Esquivel-Segura, Edwin Antonio, Arias-Aguilar, Dagoberto, Tapia-Arenas, Andrea, Masís Meléndez, Federico
Formato: Artículo
Idioma: Español
Publicado: Editorial Tecnológica de Costa Rica (entidad editora) 2020
Materias:
Acceso en línea: https://revistas.tec.ac.cr/index.php/tec_marcha/article/view/4528
https://hdl.handle.net/2238/12176
Sumario: The technological development of unmanned aerial vehicles (UAVs) has giving access to emerging applications in both fields of science and engineering. Using remote sensors, satellite analysis, on-site data collection, have been key tools so far for the monitoring of natural resources. UAVs is a cost-effective technology that can collect information quickly and accurately with high spatial resolution. The objective of this work was to review the main characteristics and applications of unmanned aerial vehicles in the management of natural resources with a focus on the Latin American region. This work describes types of existing drones, their advantages, disadvantages and the different types of sensors they can merge. Further, works from Brazil, Peru, and Colombia carried out on this subject were revisited as a guide for Latin America. A series of possible arrangements between UAVs and remote sensors is shown. These arrangements have a wide-open potential to increase the efficiency of data acquisition by increasing its applicability in the field of natural resources. An increase in automation of data acquisition, improvements in flight time performance and automated systems with complex algorithms capable of offering real-time information seems to be the forthcoming improvements of this technology.