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CE-504 (B) · Remote Sensing & GIS/Unsolved PYQ Paper

CE-504-B Remote Sensing and GIS - Nov 2023 Question Paper

Under each question, How to answer lists the points an answer should cover, outlined by CampusPrep from the syllabus. Check the details against your textbook.

  1. 7 Marks
    aExplain advantages and limitations of remote sensing?
    How to answer
    • Define remote sensing
    • List advantages e.g. synoptic coverage, repetitive, inaccessible areas
    • List limitations e.g. cost, resolution, weather dependence, expertise
    • Conclude with suitability
  2. 7 Marks
    bExplain electromagnetic spectrum with a neat sketch?
    How to answer
    • Define electromagnetic spectrum
    • Describe regions from UV to microwave with wavelength ranges
    • Explain interaction with atmosphere/remote sensing use
    • Provide neat labelled sketch of spectrum
  3. 7 Marks
    aWhat is resolution of Sensor? Describe all sensor resolution.
    How to answer
    • Define sensor resolution
    • Describe spatial resolution
    • Describe spectral, radiometric and temporal resolution
    • Give examples for each
  4. 7 Marks
    bDiscuss briefly about airborne and space borne platforms.
    How to answer
    • Define platforms in remote sensing
    • Describe airborne platforms: types, merits, limitations
    • Describe spaceborne platforms: types, orbits, merits
    • Compare airborne vs spaceborne
  5. 7 Marks
    aExplain how spatial data and attribute data integrated to make a GIS?
    How to answer
    • Define spatial data and attribute data in GIS
    • Explain linkage via geocoding/ID/feature
    • Describe integration models: vector/raster with DBMS
    • Give example of GIS query using both
  6. 7 Marks
    bDescribe different types of coordinate systems.
    How to answer
    • Define coordinate system need in GIS
    • Describe geographic coordinate system (lat/long/datum)
    • Describe projected/planar and UTM systems
    • Compare applications
  7. 14 Marks
    Explain and compare vector and raster data structure.
    How to answer
    • Define vector data structure: point, line, polygon
    • Define raster data structure: grid/cell/pixel
    • Compare on structure, accuracy, storage, analysis
    • Give suitability examples
  8. 7 Marks
    aExplain the applications of remote sensing in water resources.
    How to answer
    • List water resources problems needing RS
    • Explain applications: mapping, snowmelt, groundwater, flood, drought
    • Mention sensors/satellites used
    • Conclude benefits
  9. 7 Marks
    bExplain the following.
    1. i)Synoptivity and Repetivity
    2. ii)Remote sensing applications in traffic management
    How to answer
    • Define synoptivity and repetitivity with satellite examples
    • Explain traffic management uses: congestion, routing, planning
    • Mention sensors/platforms for traffic studies
    • Summarize advantages
  10. 7 Marks
    aExplain the elements of visual interpretation techniques.
    How to answer
    • List 8 elements: tone, size, shape, texture, pattern, shadow, site, association
    • Explain each with example
    • Describe visual interpretation process
    • Mention limitations
  11. 7 Marks
    bBriefly describe the Indian satellite program.
    How to answer
    • Outline history of ISRO/Indian program
    • Describe IRS, INSAT, Cartosat, Resourcesat series
    • Mention applications
    • Current status
  12. 14 Marks
    Explain in detail about Earth resource and Weather satellite.
    How to answer
    • Define Earth resource satellites: objectives, sensors
    • Define weather/meteorological satellites: geostationary/polar
    • Give Indian examples: Resourcesat, INSAT, Kalpana
    • Compare functions and orbits
  13. 7 Marks
    aDifferentiate between digital image analysis and visual image analysis.
    How to answer
    • Define digital image analysis: computer-based classification
    • Define visual image analysis: human interpretation
    • Differentiate on basis, speed, accuracy, cost
    • Give use cases
  14. 7 Marks
    bExplain the following:
    1. i)Spectral reflectance curves
    2. ii)Stereoscope
    How to answer
    • Explain spectral reflectance curves for vegetation, soil, water
    • Define stereoscope: principle and types
    • Explain use in 3D viewing/height measurement
    • Add illustrative diagrams
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