Rice Leaf Chlorophyll Content Estimation Using UAV-Based Spectral Images in Different Regions
Estimation of crop biophysical and biochemical characteristics is the key element for crop growth monitoring with remote sensing. With the application of unmanned aerial vehicles (UAV) as a remote sensing platform worldwide, it has become important to develop general estimation models, which can int...
Main Authors: | Songtao Ban, Weizhen Liu, Minglu Tian, Qi Wang, Tao Yuan, Qingrui Chang, Linyi Li |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-11-01
|
Series: | Agronomy |
Subjects: | |
Online Access: | https://www.mdpi.com/2073-4395/12/11/2832 |
Similar Items
-
Maize Canopy and Leaf Chlorophyll Content Assessment from Leaf Spectral Reflectance: Estimation and Uncertainty Analysis across Growth Stages and Vertical Distribution
by: Hongye Yang, et al.
Published: (2022-04-01) -
Dynamic Influence Elimination and Chlorophyll Content Diagnosis of Maize Using UAV Spectral Imagery
by: Lang Qiao, et al.
Published: (2020-08-01) -
QTL Mapping of Leaf Area Index and Chlorophyll Content Based on UAV Remote Sensing in Wheat
by: Wei Wang, et al.
Published: (2022-04-01) -
Effects of vermicompost applications on chlorophyll content and flag leaf area in rice (Oryza sativa L.)
by: Aidai Muratbek Kyzy, et al.
Published: (2023-12-01) -
Estimating Relative Chlorophyll Content in Rice Leaves Using Unmanned Aerial Vehicle Multi-Spectral Images and Spectral–Textural Analysis
by: Yuwei Wang, et al.
Published: (2023-06-01)