Preview Questions Remote Sensing Specialist | Role Specific Skill

Question 1: In the context of vegetation monitoring using NDVI (Normalized Difference Vegetation Index), which range of NDVI values typically indicates healthy vegetation?

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-0.1 to 0.1

0.2 to 0.8

0.1 to 0.3

0.7 to 0.9

Question 2: How can "spectral unmixing" enhance the accuracy of land cover classification?

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By smoothing the data to improve classification results

By separating mixed pixels into component materials

By enhancing spatial resolution of the data

By reducing data noise

Question 3: How does radiometric calibration improve the accuracy of environmental monitoring with satellite data?

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It helps in detecting atmospheric disturbances

It enhances the spatial resolution of the image

It improves the temporal resolution of satellite imagery

It corrects for sensor drift and environmental factors

Question 4: Which remote sensing technique is most suitable for monitoring and assessing coastal erosion?

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High-resolution multispectral imagery

LiDAR scanning

Thermal infrared sensing

Synthetic aperture radar (SAR)

Question 5: How does "atmospheric correction" affect remote sensing data analysis?

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It enhances the spectral resolution of satellite images

It improves the spatial resolution of data sets

It removes the effects of atmospheric particles on data

It speeds up data processing times

Question 6: What is the main advantage of using radar-based remote sensing for flood monitoring over optical imagery?

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Radar can penetrate cloud cover and operate at night

Radar imagery has higher spatial resolution

Radar imagery is cheaper to acquire

Radar imagery is more accurate in detecting ground features