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1. Introduction to Remote Sensing
1.1. The Integration of GIS, RS, and GPS
1.2. What is Remote Sensing?
1.3. Radiometric Resolution
1.4. Spatial Resolution
1.5. Spectral Resolution
1.6. Temporal Resolution
1.7. Understanding Remote Sensing Images
2. Foundations of Spatial Representation
2.1. Introduction to GIS
2.2. Basic Definitions and Concepts
2.3. Understanding Coordinate Systems
2.4. Map Projections
2.5. Cylindrical Projections
2.6. Conic Projections
2.7. Azimuthal Projections
3. GIS Data Models
3.1. Understanding Geospatial Data
3.2. Vector Data Models
3.3. Raster Data Models
3.4. Sources of Geospatial Data
3.5. Creating New Geospatial Data
3.6. Lab: Handling Vector Data Models using Python
3.7. Lab: Utilizing GeoPandas Package with Vector Data Model
3.8. Lab: Utilizing rasterio package with Raster Data Model Example
4. References
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