Universitat de Lleida
    • English
    • català
    • español
  • español 
    • English
    • català
    • español
  • Mi DSpace
Repositori Obert UdL
Ver ítem 
  •   DSpace Principal
  • Recerca
  • Enginyeria Agroforestal
  • Articles publicats (Enginyeria Agroforestal)
  • Ver ítem
  •   DSpace Principal
  • Recerca
  • Enginyeria Agroforestal
  • Articles publicats (Enginyeria Agroforestal)
  • Ver ítem
JavaScript is disabled for your browser. Some features of this site may not work without it.

A LiDAR-Based System to Assess Poplar Biomass

Thumbnail
Ver/Abrir
Preprint (890.1Kb)
Fecha de publicación
2016-06-21
Autor/a
Andújar, Dionisio
Escolà i Agustí, Alexandre
Rosell Polo, Joan Ramon
Sanz Cortiella, Ricardo
Rueda-Ayala, Victor
Fernandez Quintanilla, C.
Ribeiro, Angela
Dorado, José
Impacto


Logo de Web of Science    citaciones en Web of Science

Logo de Scopus    citaciones en Scopus

Logo de Google Académico  Google Académico
Compartir
Exportar a Mendeley
Metadatos
Mostrar el registro completo del ítem
Resumen
This study evaluated the capabilities of a LiDAR-based system to characterize poplar trees for biomass production. The precision of the system was assessed by analyzing the relationship between the distance records and biophysical parameters. The terrestrial laser scanner (TLS) system consisted of a
2D time-of-flight LiDAR sensor, a gimbal to dynamically stabilize the sensor and a RTK-GPS to georeference its location and, subsequently, the sensor data. The sensor and its stabilizer were fixed facing downwards, on a metal frame designed for this purpose. Then, it was mounted on an all-terrain vehicle to perform 2D scans in planes perpendicular to the travel direction. Distances between the sensor and the surrounding objects had a high spatial resolution, providing high density 3D point clouds. Results on the reliability of the LiDAR system to estimate plant height showed a significant relationship between the sensor readings and actual poplar height and biomass data. In addition, tree biomass and tree volume were properly estimated in the point cloud. Regression analysis showed significant estimates of 0.79 and 0.89 for biomass and volume, respectively. These results reveal the potential of the LiDAR sensor to estimate both, plant height and plant biomass. This sensor's capability, added to its relative low cost, fast reaction, and the high number of readings per second consolidate the ideal system for estimating the productivity of biomass in energy crops. http://link.springer.com/article/10.1007%2Fs10343-016-0369-1
URI
http://hdl.handle.net/10459.1/65098
DOI
https://doi.org/10.1007/s10343-016-0369-1
Es parte de
Gesunde Pflanzen, 2016, vol. 68, p. 155-162
Colecciones
  • Publicacions de projectes de recerca del Plan Nacional [1767]
  • Articles publicats (Grup de Recerca en AgròTICa i Agricultura de Precisió) [93]
  • Articles publicats (Agrotecnio Center) [694]
  • Articles publicats (Enginyeria Agroforestal) [261]

Contacto | Sugerencias | Aviso legal
© 2019 BiD. Universitat de Lleida
Metadades subjectes a
 

 

Listar

Todo DSpaceComunidades y coleccionesPor fecha de publicaciónAutoresTítulosMateriasEsta colecciónPor fecha de publicaciónAutoresTítulosMaterias

Estadísticas

Ver Estadísticas de uso

D'interès

Política institucional d'accés obertDiposita les teves publicacionsDiposita dades de recercaSuport a la recerca

Contacto | Sugerencias | Aviso legal
© 2019 BiD. Universitat de Lleida
Metadades subjectes a