Related Experiment Videos
[A study on multicomponent bidirectional reflectance model for rice]
1School of Agriculture and Biology, Shanghai Jiaotong University, Shanghai 201101, China. shenguangrong@163.net
Summary
This study validates a rice canopy reflectance model against field data. The model accurately simulates bidirectional reflectance factor (BRF) and its angular distribution, aiding rice monitoring.
Area of Science:
- Remote Sensing
- Agricultural Science
- Optics
Context:
- Accurate bidirectional reflectance factor (BRF) data is crucial for understanding crop canopies.
- Field experiments in 1999 and 2000 provided BRF measurements for rice.
- Existing models require refinement to capture complex canopy reflectance characteristics.
Purpose:
- To validate a detailed rice multicomponent bidirectional reflectance model.
- To assess the model's ability to simulate rice canopy reflectance spectra.
- To identify key factors influencing BRF, such as leaf area index (LAI) and canopy structure.
Summary:
- The study compared field-measured rice BRF with model-computed BRF using radiative transfer theory and detailed canopy parameters.
- Sensitive factors like average inclination angle and LAI were quantified for their contribution to BRF.
- The model successfully simulated the angular distribution of reflectance and hotspot effects under varying conditions.
Impact:
- The validated model provides a foundation for monitoring rice growth and estimating yield.
- It enables accurate estimation of rice canopy parameters using suitable remote sensing image bands.
- Enhances the application of radiative transfer models in precision agriculture.