IGNOU MGY 5 SOLVED ASSIGNMENT

Included:

MGY 005 (January 2025 - July 2025) - ENGLISH

Tutor Marked Assignment

MGY-005: Techniques in Remote Sensing and Digital Image Processing

Course Code: MGY-005

Assignment Code: MGY-005/TMA/2024-25

Max. Marks: 100

Note: Attempt all questions. The marks for each question are indicated against it. Write all answers in your own words; do not copy from the Self Learning Materials (SLMs). Write your answers in about 200 and 400 words for short notes and long answers, respectively.

Part A

1. Write short notes on the following:

a) Application of multispectral remote sensing

b) Microwave remote sensing data processing

2. Discuss principles and application potential of hyperspectral remote sensing. Add a note on its data products.

3. What is LiDAR remote sensing? Explain its principles, components and data types.

Part B

4. Write short notes on the following:

a) Image-to-map rectification

b) Principal component analysis

c) Systematic radiometric errors and their corrections

5. What is image statistics? Explain the univariate and multivariate image statistics in detail.

6. Give an account of various image enhancement techniques.

Part C

7. Write short notes on the following:

a) Role of Al in image classification

b) Supervised classification

c) Error matrix and its generation

8. What is change detection? Describe various types of change detection techniques.

9. Discuss the scope of R programming in raster data processing giving suitable examples.

MGY 005 (January 2026 - July 2026) - ENGLISH

Tutor Marked Assignment

MGY-005: Techniques in Remote Sensing and Digital Image Processing

Course Code: MGY-005

Assignment Code: MGY-005/TMA/2026

Max. Marks: 100

Note: Attempt all questions. Marks for each question are indicated against it. Write all answers in your own words and handwriting; do not copy from the Self Learning Materials (SLMs). Write your answers in about 300 and 600 words for short notes and long answers, respectively.

Part A

1. Write short notes on the following:

a) Importance of fiducial marks and principal points in aerial photographs

b) LiDAR remote sensing and its application potential

2. Give a detailed comparison of multispectral and hyperspectral remote sensing including their data processing.

3. Explain the microwave remote sensing technique and its applications.

Part B

4. Write short notes on the following:

a) Image enhancement techniques

b) Edge detection

c) Corrections of non-systematic radiometric errors

5. What is image statistics? Explain the univariate and multivariate image statistics in detail.

6. Give an account of various image transformation techniques.

Part C

7. Write short notes on the following:

a) Signature evaluation for image classification

b) R environment and RStudio interface and the importance of R programming

c) Use of functions in R programming and the difference between for and while loops.

8. What is change detection? Describe various classification based methods of change detection.

9. Discuss various considerations for accuracy assessment giving suitable examples.

Q: How will I receive the PDF?
A: Immediately after payment, the download link will appear and be sent to your email.

Q: Is this hand-written or typed?
A: This is a professional typed computer PDF. You can use it as a reference for your handwritten submission.