Combining Unmanned Aerial Systems and Sensor Networks for Earth Observation

The combination of remote sensing and sensor network technologies can provide unprecedented earth observation capabilities, and has attracted high R&D interest in recent years. However, the procedures and tools used for deployment, geo-referenciation and collection of logged measurements in the...

Descripción completa

Detalles Bibliográficos
Autores: Martínez de Dios, José Ramiro, San Bernabé Clemente, Alberto de, Viguria, Antidio, Torres González, Arturo Eugenio, Ollero Baturone, Aníbal
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2017
País:España
Institución:Universidad de Sevilla (US)
Repositorio:idUS. Depósito de Investigación de la Universidad de Sevilla
OAI Identifier:oai:idus.us.es:11441/61288
Acceso en línea:http://hdl.handle.net/11441/61288
https://doi.org/10.3390/rs9040336
Access Level:acceso abierto
Palabra clave:Unmanned aerial systems
Sensor networks
Descripción
Sumario:The combination of remote sensing and sensor network technologies can provide unprecedented earth observation capabilities, and has attracted high R&D interest in recent years. However, the procedures and tools used for deployment, geo-referenciation and collection of logged measurements in the case of traditional environmental monitoring stations are not suitable when dealing with hundreds or thousands of sensor nodes deployed in an environment of tenths of hectares. This paper presents a scheme based on Unmanned Aerial Systems that intends to give a step forward in the use of sensor networks for environment observation. The presented scheme includes methods, tools and technologies to solve sensor node deployment, localization and collection of measurements. The presented scheme is scalable—it is suitable for medium–large environments with a high number of sensor nodes—and highly autonomous—it is operated with very low human intervention. This paper presents the scheme including its main components, techniques and technologies, and describes its implementation and evaluation in field experiments