Introduction to geospatial analysis with Python. This course will introduce the main concepts of geospatial data analysis. Student will learn to acquire and interpret satellite imagery and extract important geospatial data using Python programming language. This course is suitable for all levels, but basic knowledge of Python is desirable.
- Introduction to geographic information systems (Friday, lecture)
- Python for GIS: working with objects and shapefiles (Friday, practical)
- Python for GIS: working with satellite imagery (Monday, lecture + practical)
- ML for GIS applications (Wednesday, lecture + practical)
Day 1. During day one of our course, we go through the basic terms of geospatial analysis, like shapefile, raster and vector data, projections, types of satellites energy sources.
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Python tutorial
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Working with shapefiles
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Working with raster images
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GDAL library introduction
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a bit more on GDAL
Day 2. During day two of our course, we will go deeper into the types of satellite imagery analysis. In our lecture, we will go through the SDGs and try to undertand how satellite imagery can help inform our decisions in various businesses and help to make them more sustainable. During the practical, we will further explore working with raster data.
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Working with staellite imagery: rasterio
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Masking and clipping
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Raster boundaries
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Clustering
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Random forests