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B.A. (VI Semester) Examination
GEOGRAPHY
Paper : GEOGCT–351 (New Course)
( Fundamentals of RS, GIS and GNSS )
Full Marks : 80
Pass Marks : 35%
Time : Three Hours
Note : 1. Answer all questions.
2. The figures in the margin indicate full marks for the questions.
3. Maps, diagrams and charts carry weightage in the answers.
1. Write briefly on any two of the following : 8×2=16
(a) Historical Development of Remote Sensing
(b) Advantages of GIS
(c) Spatial Data Formats
(d) Digitization and Scanning
(e) Map Interface of GIS
(f) Maps and World Wide Web
2. Answer any two of the following : 8×2=16
(a) Explain the interaction of EMR with Earth’s atmosphere.
(b) Explain in detail, various types of resolutions.
(c) Define the concept of remote sensing and mention various stages in remote sensing.
(d) Explain data acquisition methods through satellite data.
(e) Explain various elements of photointerpretation in remote sensing.
(f) Explain the concept of electromagnetic spectrum and its principle.
3. Answer any four of the following in brief : 4×4=16
(a) Explain vector file characteristics.
(b) Explain the major features of GPS data.
(c) Describe the types of aerial photograph.
(d) Explain raster format and its characteristics.
(e) Explain geometry component of geospatial data.
(f) Explain the advantages of aerial photograph in comparison to ground-based observation.
(g) Explain scale of aerial photograph.
4. Answer any two of the following : 8×2=16
(a) Discuss various components and functionality of GIS.
(b) Explain satellite image and discuss the elements of visual interpretation.
(c) Explain spatial analysis with emphasis to union, intersection and clip.
(d) Explain colour signature on standard FCC of earth surface features.
5. Answer any two of the following : 8×2=16
(a) Discuss geospatial data infrastructure and mention its various fields of visualization in GIS.
(b) Discuss various sequences of GIS activities.
(c) Discuss GNSS and its advantages.
(d) Explain the significance of image processing.
(e) Explain in detail, supervised image classification.
(f) Define the concept of image enhancement in detail.
