Course Title: Advanced Geospatial Analysis with Python, PostGIS & Google Earth Engine

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

Week 1: High-Performance Spatial Data Processing

📌 Session 1:

• Optimizing Geospatial Workflows for Large Datasets

• Spatial Indexing & Query Optimization in PostGIS

• Parallel Processing for Geospatial Data (Dask, GeoPandas, PostGIS)

• Mini Project: Optimizing Large Geospatial Queries in a Database

📌 Session 2:

• Advanced Geospatial Data Structures (Hexagons, Quadtrees, R-trees)

• Dynamic Spatial Aggregations & Multi-Scale Analysis

• Using H3 & Uber's Kepler.gl for Spatial Data Visualization

• Mini Project: Aggregating Geospatial Data Using H3 Grids

Week 2: Advanced Remote Sensing & Machine Learning for Geospatial Data

📌 Session 3:

• Advanced Raster Analysis (rasterio, rioxarray, GDAL)

• Multi-Band Image Processing & Spectral Indices (NDVI, NDWI, NDBI)

• Cloud-Based Remote Sensing with Google Earth Engine (GEE)

• Mini Project: Deforestation Detection Using NDVI & GEE

📌 Session 4:

• Machine Learning for Geospatial Data (Supervised & Unsupervised Learning)

• Using scikit-learn & TensorFlow for Geospatial ML

• Land Cover Classification Using ML Models

• Mini Project: Train a Land Cover Classifier with ML Algorithms

Week 3: Geospatial API Development & Web GIS Applications

📌 Session 5:

• Building Geospatial APIs with FastAPI & Flask

• Serving & Querying Spatial Data via API (GeoJSON, WMS, WFS)

• Using Mapbox, Leaflet, & OpenLayers for Interactive Web Mapping

• Mini Project: Developing a RESTful API for Geospatial Queries

📌 Session 6:

• Streaming & Real-Time Geospatial Data (IoT, GPS, Kafka, MQTT)

• Building Cloud-Scale Geospatial Applications (AWS Lambda, Google Cloud Functions)

• Integrating GIS with Big Data Technologies (Spark, BigQuery GIS)

• Mini Project: Real-Time Mapping of GPS Data Using WebSockets

Week 4: Advanced Spatial Analysis & Final Project

📌 Session 7:

• Advanced Network Analysis (Routing, Isochrones, Graphs)

• Crime Mapping & Predictive Geospatial Analysis

• Spatial Interpolation & Kriging Techniques

• Mini Project: Analyzing Urban Mobility Using Network Analysis

📌 Session 8:

• Final Project Implementation & Debugging

• Code Review & Optimization

• Future Trends in GIS (AI-Driven Geospatial Analytics, 3D GIS, Digital Twins)

• Final Project Showcase & Career Guidance