Estimating Canopy Density Parameters Time-Series for Winter Wheat Using UAS Mounted LiDAR
Monitoring of canopy density with related metrics such as leaf area index (LAI) makes a significant contribution to understanding and predicting processes in the soil–plant–atmosphere system and to indicating crop health and potential yield for farm management. Remote sensing methods using optical s...
Main Authors: | Jordan Steven Bates, Carsten Montzka, Marius Schmidt, François Jonard |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-02-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/13/4/710 |
Similar Items
-
A Simulation Study Using Terrestrial LiDAR Point Cloud Data to Quantify Spectral Variability of a Broad-Leaved Forest Canopy
by: Renato Cifuentes, et al.
Published: (2018-10-01) -
Applying LiDAR to Quantify the Plant Area Index Along a Successional Gradient in a Tropical Forest of Thailand
by: Siriruk Pimmasarn, et al.
Published: (2020-05-01) -
Evaluation of Leaf Area Index (LAI) of Broadacre Crops Using UAS-Based LiDAR Point Clouds and Multispectral Imagery
by: Fei Zhang, et al.
Published: (2022-01-01) -
Estimating Three-Dimensional Distribution of Leaf Area Using Airborne LiDAR in Deciduous Broad-Leaved Forest
by: Yoshio Awaya, et al.
Published: (2023-06-01) -
Evaluation of Crop Health Status With UAS Multispectral Imagery
by: Odysseas Vlachopoulos, et al.
Published: (2022-01-01)