Python for GIS Automation and Geospatial Applications

Automate GIS workflows with ArcPy, PyQGIS and Python – and build real geospatial projects from NDVI to plant detection

Description

Stop clicking. Start scripting.

If you work with spatial data, you already know the pattern: open the GIS, clip the layer, reproject it, run the same tool on forty files, export the map, repeat next week. This course replaces that routine with Python.

You will start by setting up a clean working environment with Miniconda, Jupyter Notebook and QGIS, then learn just enough Python – variables, loops, functions, and data handling with Pandas – to be productive with geospatial data. From there you move into ArcPy and PyQGIS to automate geoprocessing, batch-process vector and raster layers, and generate finished map layouts without touching the interface.

What you will build

• NDVI and other remote sensing indices calculated straight from satellite imagery

• Zonal statistics that summarise raster values across your own boundaries

• A Leaf Area Index (LAI) analysis workflow

• A Land Surface Temperature (LST) analysis workflow

• A computer vision script that detects and counts individual plants

What you get

• Downloadable scripts and datasets so you can follow along with real data

• Quizzes after each major section to check your understanding

• Code you can adapt directly to your own projects

No prior Python experience is needed. You will need a Windows PC and an interest in GIS – everything else is installed together in the first section.

Taught by Dr. Azad Rasul, a geospatial data scientist and Assistant Professor, with over 150,000 students enrolled across his Udemy courses.

Enrol now and start turning your manual GIS workflows into scripts that run themselves.

Reminder – Rate this 100% off Udemy Course on Udemy that you got for FREEE!!

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