Sample interview questions: Can you discuss the challenges and limitations of using remote sensing in environmental science research?
Sample answer:
Challenges and Limitations of Remote Sensing in Environmental Science Research:
1. Atmospheric Interference:
– Clouds, aerosols, and other atmospheric conditions can obscure targets, reduce image clarity, and influence spectral signatures, making it difficult to extract accurate information.
2. Spatial and Temporal Limitations:
– The resolution and frequency of remote sensing data may not align with the scale or pace of environmental processes, limiting the ability to capture detailed changes and dynamics in real-time.
3. Data Volume and Processing Complexity:
– Remote sensing generates vast amounts of data, requiring extensive computational resources, advanced algorithms, and skilled personnel for analysis, interpretation, and integration with other data sources.
4. Calibration and Validation:
– Accurate interpretation and analysis require proper calibration and validation of sensors, algorithms, and data products to ensure data quality, accuracy, and reliability.
5. Cloud Computing and Data Storage:
– The storage and processing of large remote sensing datasets can pose challenges due to the need for secure and scalable cloud computing infrastructure and data management systems.
Source: https://hireabo.com/job/5_3_26/Remote%20Sensing%20Specialist