Estimating Effective Leaf Area Index of Winter Wheat Using Simulated Observation on Unmanned Aerial Vehicle-Based Point Cloud Data

Estimating Effective Leaf Area Index of Winter Wheat Using Simulated Observation on Unmanned Aerial Vehicle-Based Point Cloud Data

Within-field variation of leaf area index (LAI) plays an essential role in field crop monitoring and yield forecasting. Although unmanned aerial vehicle (UAV)-based optical remote sensing method can overcome the spatial and temporal resolution limitations associated with satellite imagery for fine-s...

Full description

Bibliographic Details
Main Authors: Yang Song, Jinfei Wang, Jiali Shang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Agriculture
gap fraction
leaf area index (LAI)
point cloud data
unmanned aerial vehicle (UAV)
winter wheat
Online Access:https://ieeexplore.ieee.org/document/9103251/

Internet

https://ieeexplore.ieee.org/document/9103251/

Similar Items