IGNOU MGY 5 SOLVED ASSIGNMENT
MGY 5: Techniques in Remote Sensing and Digital Image Processing
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| Title Name | IGNOU MGY 5 SOLVED ASSIGNMENT |
|---|---|
| Type | Soft Copy (E-Assignment) .pdf |
| University | IGNOU |
| Degree | PG DIPLOMA PROGRAMMES |
| Course Code | PGDGI |
| Course Name | Post Graduate Diploma in Geoinformatics |
| Subject Code | MGY 5 |
| Subject Name | Techniques in Remote Sensing and Digital Image Processing |
| Year | 2026 |
| Session | - |
| Language | English Medium |
| Assignment Code | MGY 5/Assignment-1/2026 |
| Product Description | Assignment of PGDGI (Post Graduate Diploma in Geoinformatics) 2026. Latest MGY 05 2026 Solved Assignment Solutions |
| Last Date of IGNOU Assignment Submission | Last Date of Submission of IGNOU BEGC-131 (BAG) 2025-26 Assignment is for January 2026 Session: 30th September, 2026 (for December 2025 Term End Exam). Semester Wise January 2025 Session: 30th March, 2026 (for June 2026 Term End Exam). July 2025 Session: 30th September, 2025 (for December 2025 Term End Exam). |
| Format | Ready-to-Print PDF (.soft copy) |
📅 Important Submission Dates
- January 2025 Session: 30th September, 2025
- July 2025 Session: 30th April, 2025
- January 2026 Session: 31st March, 2026
- July 2026 Session: 30th September, 2026
Why Choose Our Solved Assignments?
• Guidelines: Strictly follows 2025-26 official word limits.
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📋 Assignment Content Preview
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.
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IGNOU PGDGI Assignments Jan - July 2026 - IGNOU University has uploaded its current session Assignment of the PGDGI Programme for the session year 2026. Students of the PGDGI Programme can now download Assignment questions from this page. Candidates have to compulsory download those assignments to get a permit of attending the Term End Exam of the IGNOU PGDGI Programme.
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| Course Name | Post Graduate Diploma in Geoinformatics |
| Course Code | PGDGI |
| Programm | Courses |
| Language | English |
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