ESTIMATION OF LEAF AREA INDEX IN MAIZE FROM UAV-BASED LIDAR POINT CLOUD DATA VIA POINTNET++

Huang, An-Te

doi:10.25394/PGS.21670508.v1

An-Te_Thesis_20221205.pdf (17.32 MB)

ESTIMATION OF LEAF AREA INDEX IN MAIZE FROM UAV-BASED LIDAR POINT CLOUD DATA VIA POINTNET++

thesis

posted on 2022-12-05, 20:03 authored by An-Te HuangAn-Te Huang

The LiDAR data of the maize used in this research were acquired from different stages, by different sensors, and from different flight heights, which results in different point densities. The ground reference data collected by LiCOR LAI-2200 represented the leaf area index of a two-row plot.

Funding

ARPA-E DE-AR0000593

History

Degree Type

Master of Science

Department

Civil Engineering

Campus location

West Lafayette

Advisor/Supervisor/Committee Chair

Melba M. Crawford

Additional Committee Member 2

Edward J. Delp

Additional Committee Member 3

Jung, Jinha

Usage metrics

Keywords

PointNet Remote Sensing LiDAR Deep Learning PointNet++Leaf Area Index UAV remote sensing

Licence

CC BY 4.0

ESTIMATION OF LEAF AREA INDEX IN MAIZE FROM UAV-BASED LIDAR POINT CLOUD DATA VIA POINTNET++

Funding

ARPA-E DE-AR0000593

History

Degree Type

Department

Campus location

Advisor/Supervisor/Committee Chair

Additional Committee Member 2

Additional Committee Member 3

Usage metrics

Categories

Keywords

Licence

Exports