RT info:eu-repo/semantics/article
T1 A Handheld Laser-Scanning-Based Methodology for Monitoring Tree Growth in Chestnut Orchards
A1 Pereira-Obaya, Dimas
A1 Cabo, Carlos
A1 Ordóñez, Celestino
A1 Rodríguez Pérez, José Ramón
A2 Ingeniería CartograficaGeodesica y Fotogrametria
K1 Ingeniería forestal
K1 Sweet chestnut
K1 MLS
K1 SLAM
K1 3-D point cloud
K1 Tree growth monitoring
K1 3106
AB [EN] Chestnut and chestnut byproducts are of worldwide interest, so there is a constant need to develop faster and more accurate monitoring techniques. Recent advances in simultaneous localization and mapping (SLAM) algorithms and user accessibility have led to increased use of handheld mobile laser scanning (HHLS) in precision agriculture. We propose a tree growth monitoring methodology, based on HHLS point cloud processing, that calculates the length of branches through spatial discretization of the point cloud for each tree. The methodology was tested by comparing two point clouds collected almost simultaneously for each of a set of sweet chestnut trees. The results obtained indicated that our HHLS method was reliable and accurate in efficiently monitoring sweet chestnut tree growth. The same methodology was used to calculate the growth of the same set of trees over 37 weeks (from spring to winter). Differences in week 0 and week 37 scans showed an approximate mean growth of 0.22 m, with a standard deviation of around 0.16 m reflecting heterogeneous tree growth.
PB MDPI
SN 1424-8220
LK https://hdl.handle.net/10612/19333
UL https://hdl.handle.net/10612/19333
NO Pereira-Obaya, D.; Cabo, C.; Ordóñez, C.; Rodríguez-Pérez, J.R. A Handheld Laser-Scanning-Based Methodology for Monitoring Tree Growth in Chestnut Orchards. Sensors 2024, 24, 1717. https://doi.org/10.3390/s24061717
DS BULERIA. Repositorio Institucional de la Universidad de León
RD 21-may-2024