Remote Sensing and GIS (Advanced)
Spatial Data Sources: Primary & Secondary
- Spatial data sources: primary (GPS, field surveys, RS imagery) & secondary (existing maps, reports)
Maps vs RS Images: Key Differences
- Maps vs RS images: differences in data type, scale, update frequency, spectral information
Concept & Advantages of Remote Sensing
- Concept of Remote Sensing: definition, advantages over conventional data collection
EMR Spectrum: Wavelength, Frequency & Atmospheric Windows
- EMR Spectrum: wavelength, frequency, energy; regions from gamma to radio waves; atmospheric windows
RS Image Elements: Pixel, DN, Band & Resolution
- RS image elements: Pixel (spatial unit), Digital Number (DN — raw brightness value), Band (spectral channel), Resolution (spatial/spectral/temporal/radiometric)
Visual Interpretation of Aerial Photographs
- Visual interpretation of aerial photographs: use of interpretation keys, elements, stereo pairs
Satellite Image Interpretation: FCC & Band Combinations
- Satellite image interpretation: standard FCC (4-3-2), vegetation monitoring, change detection
GIS Data Models: Conceptual & Logical
- GIS data models: conceptual (field vs object view), logical (raster vs vector)
Vector Data Model: Points, Lines & Polygons
- Vector Data Model: types — point (cities, wells), line (roads, rivers), polygon (admin boundaries, land use)
- Components of vector data: geometry, topology, attributes; spatial relationships
Attribute Data: Tables, Joins & SQL Queries
- Attribute data management: attribute table, join & relate, field calculator, SQL queries
- Spatial queries: select by attribute, select by location; buffer queries
- Non-spatial queries: database queries; tabular analysis
Geoprocessing: Clip, Buffer, Union, Intersect, Dissolve
- Geoprocessing: clip, erase, dissolve, merge, union, intersect; use cases
Overlay Analysis: Vector & Raster Overlay
- Overlay Analysis: vector overlay (identity, union, intersection, update); raster overlay (map algebra)
Raster Data Processing & Map Algebra
- Raster data: nature (continuous surface), grid structure, cell size importance
- Raster processing: reclassification, map algebra (raster calculator), cost-distance analysis
Gridded Data Sources: SRTM, ASTER, MODIS, Sentinel
- Gridded data sources: SRTM, ASTER, MODIS, Sentinel, Landsat — characteristics & applications
DEM Applications: Slope, Aspect, Viewshed & Watershed
- DEM applications: slope, aspect, hillshade, curvature, viewshed, watershed delineation
Facility Information Systems Using Spatial Data
- Facility Information System using spatial data: hospital, school location; service area analysis
GIS for Land Use Planning & Disaster Management
- Land use planning applications: suitability analysis, zoning, change detection
- Disaster management applications: flood zone mapping, evacuation route planning, damage assessment
Practical: Image Interpretation, Vectorization, Classification, Accuracy Assessment
- Practical: Visual image interpretation; vectorization (heads-up digitizing, attribute entry); SQL queries; geoprocessing workflows; image classification (supervised & unsupervised); accuracy assessment (confusion matrix, kappa coefficient)
Supplementary Topics: Remote Sensing & GIS Advanced
No specific topics listed.