TY - GEN
T1 - Open-Source Framework for Creation of Canopy Height Models from UAS-Lidar Data
AU - Arriola-Valverde, Sergio
AU - Rimolo-Donadio, Renato
AU - Somarriba-Chavez, Eduardo
AU - Saenz-Vargas, Eduardo
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - This work presents the integration of an open-source framework for the conformation of canopy height models. The LiDAR point cloud filtering techniques Cloth Simulation Filter and Simple Morphological Filter were evaluated, obtaining a maximum deviation or 5.77% in the generation of digital terrain models with respect to commercial tools. With the normalize digital surface model technique, a maximum difference of 7.75% was obtained from a LiDAR point cloud with a reduction factor K=10 and a GSD value of 5 cm/pix. In computational terms, a decimation process allowed to reduce the execution time, e.g., by 25% when using K=10.
AB - This work presents the integration of an open-source framework for the conformation of canopy height models. The LiDAR point cloud filtering techniques Cloth Simulation Filter and Simple Morphological Filter were evaluated, obtaining a maximum deviation or 5.77% in the generation of digital terrain models with respect to commercial tools. With the normalize digital surface model technique, a maximum difference of 7.75% was obtained from a LiDAR point cloud with a reduction factor K=10 and a GSD value of 5 cm/pix. In computational terms, a decimation process allowed to reduce the execution time, e.g., by 25% when using K=10.
KW - Canopy Height Model
KW - Point Cloud Classification
KW - Unmanned Aerial System
KW - Unmanned LiDAR System
UR - https://www.scopus.com/pages/publications/85178383776
U2 - 10.1109/IGARSS52108.2023.10281941
DO - 10.1109/IGARSS52108.2023.10281941
M3 - Contribución a la conferencia
AN - SCOPUS:85178383776
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 4254
EP - 4257
BT - IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023
Y2 - 16 July 2023 through 21 July 2023
ER -