MGY 101 Introduction to Geoinformatics | Quick Readable Notes For IGNOU Exam 
MGY 102 Remote Sensing and Image Interpretation | Quick Readable Notes For IGNOU Exam 
MGY 103 Global Navigation Satellite System and Geographic Information System | Quick Readable Notes For IGNOU Exam 
MGY 005 Techniques in Remote Sensing and Digital Image Processing | Quick Readable Notes For IGNOU Exam 
MGY 006 Spatial Analysis and Modelling | Quick Readable Notes For IGNOU Exam 
MGY 007 Applications of Geoinformatics | Quick Readable Notes For IGNOU Exam 
MGY 009 Advances in Remote Sensing and GIS | Quick Readable Notes For IGNOU Exam 
MGY 011 Geo-environmental Applications of Geoinformatics | Quick Readable Notes For IGNOU Exam 
MGYE 021 Emerging Application of Geoinformatics | Quick Readable Notes For IGNOU Exam 
MGYE 022 Advanced Programming in Geoinformatics | Quick Readable Notes For IGNOU Exam 
MGY 013 Research Mathodology and Professional Skills in Geoinformatics | Quick Readable Notes For IGNOU Exam 
MGY 014 Geoinformatics in Natural Resources and Environmental Studies | Quick Readable Notes For IGNOU Exam 
MGYE 041 Geoinformatics in Urban Development | Quick Readable Notes For IGNOU Exam 
MGYE 042 Planning Geoinformatics in Disaster Studies Geoinformatics in Coastal | Quick Readable Notes For IGNOU Exam 
MGYE 043 Geoinformatics in Coastal Marine Studies | Quick Readable Notes For IGNOU Exam MGY 010 Computer Programming for Digital Image...
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| Category | : MASTER‘S DEGREE PROGRAMMES |
| Sub Category | : Master of Science (Geoinformatics) (MSCGI) |
| Products Code | : MSCGI-MGY-S3-5.53 |
| HSN Code | : 490110 |
| Language | : English |
| Author | : BMAP EDUSERVICES PVT LTD |
| Publisher | : BMAP EDUSERVICES PVT LTD |
| University | : IGNOU (Indira Gandhi National Open University) |
| Pages | : 100-130 |
| Weight | : 157gms |
| Dimensions | : 21.0 x 29.7 cm (A4 Size Pages) |
MGY 010 Computer Programming for Digital Image Processing and GIS focuses on developing programming skills essential for digital image processing and GIS applications. Topics include programming fundamentals (with a focus on Python), GIS library usage (e.g., GDAL for raster data, arcpy for ArcGIS integration), digital image manipulation techniques (enhancement, filtering), spatial data analysis, and visualization.
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