Interview questions on Remote Sensing and Image Processing in Hydrology
Twenty MCQ which is common in not only interviews but also in different competetive examinations including GATE
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📡 Remote Sensing, Image Processing & Hydrology – MCQs with Answers
🌍 Section 1: Remote Sensing Fundamentals
What is remote sensing?
Measuring objects by physical contact
Observing objects from a distance using sensors ✅
Using GPS to navigate
Mapping underground water
Which of the following is a passive remote sensing system?
Radar
LiDAR
Thermal infrared sensor ✅
SONAR
Which satellite sensor is commonly used for land and water resource monitoring?
MODIS ✅
GPS
INSAT
GOES
Which electromagnetic band is most useful for detecting vegetation health?
Microwave
Near-infrared ✅
Ultraviolet
X-ray
Which satellite provides high-resolution imagery suitable for hydrological modeling?
Landsat 8 ✅
NOAA
INSAT-3D
SPOT
🖼️ Section 2: Image Processing Techniques
What is the purpose of image classification in remote sensing?
To compress images
To convert raster to vector
To categorize land cover types ✅
To enhance image resolution
Which of the following is an unsupervised classification method?
Maximum Likelihood
Support Vector Machine
K-means clustering ✅
Random Forest
What does NDVI stand for?
Normalized Difference Vegetation Index ✅
National Digital Vegetation Index
Normalized Data Visualization Interface
Natural Drainage and Vegetation Index
Which image enhancement technique improves contrast in satellite images?
Histogram equalization ✅
Edge detection
Band ratioing
Resampling
Which software is commonly used for remote sensing image processing?
AutoCAD
ERDAS Imagine ✅
Excel
SPSS
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