IGNOU SOLVED ENGLISH ASSIGNMENTS MSC GEOINFORMATICS(MSCGI)

Tutor Marked Assignments (TMA) for Semester-II Courses
MGY-005
MGY-006 &
MGY-007

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Assignment
Techniques in Remote Sensing and Digital Image Processing
Course Code: MGY-005
Assignment Code: MGY-005/TMA/2024-25
Maximum Marks: 100


Part-A

  1. Write short notes on the following:
    a) Application of multispectral remote sensing (5)
    b) Microwave remote sensing data processing (5)
  2. Discuss principles and application potential of hyperspectral remote sensing. Add a note on its data products. (10)
  3. What is LiDAR remote sensing? Explain its principles, components, and data types. (10)

Part-B

  1. Write short notes on the following:
    a) Image-to-map rectification (5)
    b) Principal component analysis (5)
    c) Systematic radiometric errors and their corrections (5)
  2. What is image statistics? Explain the univariate and multivariate image statistics in detail. (10)
  3. Give an account of various image enhancement techniques. (10)

Part-C

  1. Write short notes on the following:
    a) Role of AI in image classification (5)
    b) Supervised classification (5)
    c) Error matrix and its generation (5)
  2. What is change detection? Describe various types of change detection techniques. (10)
  3. Discuss the scope of R programming in raster data processing giving suitable examples. (10)

Assignment
Spatial Analysis and Modelling
Course Code: MGY-006
Assignment Code: MGY-006/TMA/2024-25
Maximum Marks: 100


Part-A

  1. What do you understand by data integration? Discuss the contributions of remote sensing in integration with GIS. (10)
  2. Describe database models and database modelling. Give an account of various types of database models. (10)
  3. Write short notes on the following:
    a) Stages of data integration (5)
    b) Characteristics of a good DBMS (5)
    c) Semivariogram (5)
    d) Spatial distance measurement (5)
    e) Applications of buffer analysis (5)
    f) Pattern analysis and its application (5)

Part-B

  1. What is network analysis? Discuss in detail different methods of network analysis. (10)
  2. Compare static and dynamic models. Give an account of dynamic modelling in GIS. (10)
  3. Write short notes on the following:
    a) Methods and applications of local operation (5)
    b) Steps in the development of a model (5)
    c) Factors influencing watershed analysis (5)
    d) GIS system development life cycle (5)
    e) Models of GIS design (5)
    f) Advantages of developing GIS programming skills (5)


Assignment
Applications of Geoinformatics
Course Code: MGY-007
Assignment Code: MGY-007/TMA/2024-25
Maximum Marks: 100


Part-A

  1. Provide a comprehensive analysis of how moisture affects the spectral signature of soil. Support your answer with well-labeled diagrams, wherever required. (10)
  2. What is land use land cover? Discuss various land use land cover categories and their spectral characteristics. (10)
  3. Write short notes on the following:
    a) Different pigments found in leaves and their unique spectral signatures (5)
    b) Factors influencing the spectral properties of water (5)
    c) Applications and challenges surrounding land use/land cover change modelling (5)
    d) Satellite remote sensing-based monitoring of rainfall (5)
    e) Limitations of geoinformatics in the context of climate change study (5)
    f) Role of remote sensing in vegetation/forest type mapping (5)

Part-B

  1. Discuss in detail how geoinformatics is used in landslide-related studies. (10)
  2. Examine the role of geoinformatics in different domains of the defence sector. (10)
  3. Write short notes on the following:
    a) Potential of geoinformatics in managing forest fire and coal fire incidents (5)
    b) Use of remote sensing in monitoring oil spills (5)
    c) Application of geoinformatics in monitoring disease outbreaks and their transmission (5)
    d) Enumerate the use of GIS in urban planning (5)
    e) Advantage of microwave remote sensing over optical remote sensing for monitoring of crops and assessment of their condition (5)
    f) Advantages and applications of geoinformatics in the study of meteorological disasters (5)

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