Map** Wheat Take-All Disease Levels from Airborne Hyperspectral Images Using Radiative Transfer Models
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Area
2.2. Experimental Dataset
2.3. PROSAIL Model
2.4. CNN and Transfer Learning
2.5. Performance Metrics
3. Results and Discussion
3.1. Modeling and Validation of Wheat Take-All
3.2. Comparison of Canopy Chlorophyll Content Prediction from Different Methods
3.3. Spatial Distribution Results of Wheat Take-All
4. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Data Availability Statement
Conflicts of Interest
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Chlorophyll Content (g/cm) | Class |
---|---|
≥36 | Healthy |
28–35 | Mild |
21–27 | Moderate |
≤20 | Severe |
Parameter | Description of Parameter | Units | Parameter Setting |
---|---|---|---|
N | Leaf structure parameter | N/A | 1.5 |
C | Chlorophyll a+b concentration | g/cm | 10–80 (SL:1) |
C | Carotenoid concentration | g/cm | 6 |
C | Brown pigment | g/cm | 0.1 |
C | Equivalent water thickness | cm | 0.01 |
C | Dry matter content | g/cm | 0.005 |
LAI | Leaf Area Index | m/m | 1–8 (SL:0.1) |
LIDFa | Leaf angle distribution | N/A | −0.35 |
LIDFb | Leaf angle distribution | N/A | −0.15 |
Psoil | Dry/Wet soil factor | N/A | 0.5 |
hspot | Hotspot parameter | N/A | 0.01 |
Solar zenith angle | deg | 25 | |
Observer zenith angle | deg | 0 | |
Relative azimuth angle | deg | 90 |
PLSR | RF | SVR | Our Model | |
---|---|---|---|---|
0.293 | 0.306 | 0.365 | 0.732 | |
RMSE | 6.352 | 5.22 | 5.27 | 2.631 |
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Wang, J.; Shi, L.; Fu, Y.; Si, H.; Liu, Y.; Qiao, H. Map** Wheat Take-All Disease Levels from Airborne Hyperspectral Images Using Radiative Transfer Models. Remote Sens. 2023, 15, 1960. https://doi.org/10.3390/rs15081960
Wang J, Shi L, Fu Y, Si H, Liu Y, Qiao H. Map** Wheat Take-All Disease Levels from Airborne Hyperspectral Images Using Radiative Transfer Models. Remote Sensing. 2023; 15(8):1960. https://doi.org/10.3390/rs15081960
Chicago/Turabian StyleWang, Jian, Lei Shi, Yuanyuan Fu, Hai** Si, Yi Liu, and Hongbo Qiao. 2023. "Map** Wheat Take-All Disease Levels from Airborne Hyperspectral Images Using Radiative Transfer Models" Remote Sensing 15, no. 8: 1960. https://doi.org/10.3390/rs15081960