Course Title: Intermediate Geospatial Analysis with Python, QGIS & PostGIS

📅 Duration: 4 Weeks (Twice a Week)
🖥 Format: Online Live Sessions + Hands-on Assignments

Week 1: Advanced Spatial Data Handling

📌 Session 1:

• Recap of Geospatial Data Types & Coordinate Reference Systems (CRS)

• Advanced Vector Data Manipulation (geopandas, shapely, fiona)

• Spatial Joins, Overlays, and Intersections

• Mini Project: Merging and Cleaning Multi-Source Geospatial Data

📌 Session 2:

• Working with Large Geospatial Datasets (Optimizing Performance)

• Introduction to Spatial Databases & PostGIS

• Importing & Querying Spatial Data in PostGIS (ogr2ogr, psql)

• Mini Project: Storing & Querying Geospatial Data in a PostgreSQL/PostGIS Database

Week 2: Geospatial Analysis & Automations

📌 Session 3:

• Advanced Geoprocessing (Buffer, Clip, Union, Dissolve)

• Distance and Proximity Analysis (Nearest Neighbor, Voronoi Diagrams)

• Spatial Statistics & Geostatistical Analysis

• Mini Project: Finding Optimal Locations for New Infrastructure

📌 Session 4:

• Automating GIS Workflows with Python (geopandas, shapely, fiona)

• Batch Processing of Geospatial Data

• Using PyQGIS for Automating QGIS Tasks

• Mini Project: Automating Data Cleaning & Processing in QGIS

Week 3: Remote Sensing & Raster Data Processing

📌 Session 5:

• Introduction to Raster Analysis (rasterio, GDAL, xarray)

• Raster Data Operations (Reprojection, Resampling, Clipping)

• Image Classification (Supervised & Unsupervised)

• Mini Project: Land Cover Classification Using Satellite Imagery

📌 Session 6:

• Extracting & Processing Elevation Data (Digital Elevation Models - DEMs)

• Terrain Analysis (Slope, Aspect, Watershed Delineation)

• Working with Time-Series Geospatial Data (xarray, rioxarray)

• Mini Project: Analyzing Flood Risk Using DEM Data

Week 4: Web Mapping, APIs & Final Project

📌 Session 7:

• Introduction to Web GIS (Leaflet, Folium, OpenLayers)

• Building Interactive Geospatial Dashboards

• Geospatial APIs (Google Maps API, OpenStreetMap, NASA EarthData)

• Mini Project: Creating a Web Map with Live Data Layers

📌 Session 8:

• Final Project Implementation & Debugging

• Best Practices in Geospatial Analysis & Visualization

• Final Project Showcase & Code Review

• Next Steps: Advanced GIS, Machine Learning for Geospatial Data