Sample interview questions: How do you ensure the accuracy and reliability of remote sensing results in your research?
Sample answer:
Accuracy Verification:
- Ground-Truth Validation: Compare remote sensing data with direct field measurements or known features on the ground.
- Cross-Validation: Use different remote sensing platforms, sensors, or algorithms to cross-check results and reduce uncertainty.
- Statistical Analysis: Employ statistical tests (e.g., regression, error analysis) to evaluate the correlation and accuracy between remote sensing data and ground-truth measurements.
Reliability Enhancement:
- Sensor Calibration and Validation: Regularly calibrate remote sensing instruments to ensure consistent data acquisition. Validate sensor performance through rigorous testing and inter-comparison.
- Data Pre-Processing: Apply appropriate pre-processing steps (e.g., atmospheric correction, noise reduction) to improve data quality and enhance the interpretability of results.
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