Optical satellite sensors are passive as they rely on sunlight reflected from the Earth.Radar and LiDAR are active systems because they emit their own signals.
Spatial interpolation estimates unknown values between sampled points to create continuous surface maps, like elevation or pollution levels.Common methods include Kriging and IDW.
44.
Which of the following remote sensing data types provides the best spectral resolution?
Hyperspectral images capture hundreds of narrow spectral bands, allowing detailed material identification.This is valuable for precise mineral mapping and vegetation studies.
45.
What is the main purpose of geostatistics in geological engineering?
Geostatistics applies statistical methods to spatial data to understand variability and predict values across unsampled locations.It improves the reliability of geological and geotechnical models.
46.
Which sensor is most suitable for mapping vegetation health?
Multispectral sensors capture data in various visible and near-infrared bands.They are widely used for vegetation analysis and monitoring health via indices like NDVI.
47.
What does Digital Elevation Model (DEM) represent in GIS?
DEM is a digital representation of the ground surface topography.It is fundamental for hydrological modeling, slope analysis, and construction planning.
48.
Which remote sensing technique can penetrate dense vegetation to detect underlying ground features?
LiDAR uses laser pulses that can penetrate forest canopy and provide detailed ground surface models beneath vegetation.It is widely used in forestry and geological mapping.
Georeferencing aligns spatial data to a known coordinate system, enabling overlay with other geospatial datasets.It is essential for accurate mapping and analysis.
50.
Which factor does NOT affect the accuracy of GPS measurements?
