Sample interview questions: Can you discuss the challenges of applying remote sensing in landslide susceptibility mapping?
Sample answer:
Challenges in Applying Remote Sensing in Landslide Susceptibility Mapping
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Data availability and accessibility: Acquiring high-resolution, historical, and continuous remote sensing data for landslide susceptibility mapping can be challenging, especially for large or remote areas.
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Data quality and consistency: Remote sensing data can suffer from inconsistencies in image acquisition and processing techniques, atmospheric effects, and terrain distortions, which can impact landslide mapping accuracy.
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Feature extraction and variable selection: Identifying and extracting relevant features from remote sensing data that contribute to landslide susceptibility is crucial but can be subjective and dependent on expert knowledge.
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Model bias and overfitting: Remote sensing-based landslide susceptibility models can be prone to bias due to the training data’s representativeness and overfitting if not properly validated and cross-validated.
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Temporal and spatial resolution limitations: Read full answer
Source: https://hireabo.com/job/5_3_26/Remote%20Sensing%20Specialist