Preview Questions Remote Sensing Specialist | Role Specific Skill

Question 1: In the calibration of remote sensing instruments, what is the purpose of dark object subtraction?

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To align images with ground truth data

To adjust the radiometric response of the sensor

To account for atmospheric scattering effects

To reduce noise in the image

Question 2: How does LiDAR (Light Detection and Ranging) differ from traditional photogrammetry in remote sensing?

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LiDAR provides highly accurate 3D surface data

LiDAR uses color imagery to create elevation maps

Photogrammetry is more accurate for low-resolution data

Photogrammetry offers better penetration in vegetation

Question 3: When conducting environmental monitoring of urban heat islands, which remote sensing method is most effective?

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Thermal infrared imaging

Multi-spectral imaging of land cover

LiDAR data processing for topographic features

Hyperspectral reflectance in the visible spectrum

Question 4: Which data analysis technique is most useful for detecting spatial patterns in environmental hazards using remote sensing data?

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Spatial autocorrelation analysis

Time-series forecasting

K-means clustering

Image segmentation

Question 5: Which of the following is an advantage of using remote sensing for monitoring deforestation rates over traditional methods?

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Remote sensing is only useful in tropical areas

Traditional methods provide better accuracy

Traditional methods allow for more detailed data analysis

Remote sensing can provide more frequent data collection

Question 6: How does "pixel-based classification" differ from "object-based classification" in remote sensing?

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Pixel-based is more accurate, object-based is faster

Pixel-based uses polygons, object-based uses raster data

Pixel-based is used for large datasets, object-based for small datasets

Pixel-based uses individual pixels, object-based uses regions of interest